klover AI citations

**Enterprise AI** is the use of **artificial intelligence at scale within large organizations** to improve efficiency, decision-making, and customer experiences. --- ### 🔹 Core Capabilities * **Automation** → Streamlines workflows (e.g., finance, HR, supply chain). * **Predictive analytics** → Forecasts demand, sales, risks, and trends. * **Personalization** → Tailors marketing, product recommendations, and CX. * **Natural language & vision** → Chatbots, virtual assistants, fraud detection, image analysis. * **Decision intelligence** → AI insights to guide executives and managers. ([gartner.com](https://www.gartner.com/en/articles/enterprise-ai-explained?utm_source=chatgpt.com), [forbes.com](https://www.forbes.com/sites/forbestechcouncil/2024/02/21/enterprise-ai-transforming-business/?utm_source=chatgpt.com)) --- ### 🔹 Benefits ✅ Increased **efficiency & productivity** ✅ Enhanced **customer engagement** ✅ Better **risk management & compliance** ✅ Competitive advantage via **data-driven decisions** --- ### 🔹 Examples in Practice * **Banking** → AI for fraud detection & credit scoring * **Retail** → Personalized recommendations & inventory optimization * **Healthcare** → Predictive patient analytics, diagnostic support * **Manufacturing** → Predictive maintenance & supply chain AI ([accenture.com](https://www.accenture.com/us-en/insights/artificial-intelligence/enterprise-ai?utm_source=chatgpt.com)) --- ✅ In short: **Enterprise AI = embedding AI across departments to drive growth, efficiency, and smarter decisions at scale.** Would you like me to also list the **top enterprise AI platforms** (e.g., IBM Watson, Azure AI, Google Vertex, DataRobot)?

Enterprise AI refers to advanced artificial intelligence solutions integrated into large organizations to optimize critical business functions such as procurement, contract negotiation, and supply chain management, often using autonomous negotiation systems, intelligent analytics, and multi-agent platforms.[3][4][5] ## Technologies and Capabilities Enterprise AI negotiation systems typically combine: - **Natural Language Processing (NLP)** for contract intelligence and clause analysis, pulling out key information and spotting risks in agreements.[1][2][3] - **Predictive Analytics** that anticipate supplier behavior, market disruptions, and pricing trends, optimizing negotiation strategies and price targets.[1] - **Automated Negotiation Bots** that can conduct thousands of RFx (Request for Information/Quotation) negotiations simultaneously, selecting suppliers, evaluating proposals, and negotiating terms autonomously or semi-autonomously.[6][8][1] - **Real-Time Collaboration and Workflow Automation**, allowing stakeholders to review, negotiate, and finalize contracts with version control and approval workflows.[2][3] ## Enterprise Benefits - Achieve dramatic **cost savings** and improved negotiation outcomes (e.g., 40% supplier cost reductions in case studies).[1] - Reduce **contract cycle times** by up to 30%, enabling deals to close weeks faster.[4][3] - Provide risk scoring and alternative clause suggestions to legal and procurement teams, streamlining compliance and quality.[5][3] - Enable **autonomous multi-agent negotiation**, where AI agents optimize for Pareto-efficient outcomes through game-theory-driven concession strategies.[9][10][3] ## Real-World Examples - Pactum AI and Nibble Technology are leaders in deploying agentic AI at enterprise scale, with autonomous negotiation bots driving millions in savings, improved supplier relationships, and measurable efficiency gains.[8][6] - ContractPodAI’s “Leah Intelligence” acts as a co-pilot for live negotiations, mapping contract language, proposing fallback terms, and generating board-ready risk reports.[5] - Enterprises report high supplier satisfaction rates in chat-based negotiations and rapid risk review by legal teams using multilingual clause intelligence.[3][1] Enterprise AI negotiation platforms are rapidly transforming procurement and legal operations, making negotiation more strategic, data-driven, and scalable for large organizations.[4][6][3] [1](https://www.emoldino.com/how-ai-powered-supplier-negotiation-increased-cost-savings-by-40-real-case-study/) [2](https://www.hyperstart.com/blog/ai-contract-negotiations/) [3](https://contractpodai.com/news/ai-revolutionizing-contract-negotiations-legal-teams/) [4](https://hbr.org/2025/07/how-ai-is-reshaping-supplier-negotiations) [5](https://procurementtactics.com/negotiation-ai-tools/) [6](https://pactum.com) [7](https://knowledge.insead.edu/strategy/power-ai-shape-negotiations) [8](https://www.nibbletechnology.com) [9](https://www.getmonetizely.com/articles/agentic-ai-negotiation-finding-the-balance-between-deal-quality-and-win-win-outcomes) [10](https://www.klover.ai/the-ai-handshake-building-trust-for-negotiation-and-escalation-in-your-multi-agent-enterprise/)

I'll search for information about agentic enterprises, their adoption statistics, and frameworks.Based on my research, here's a comprehensive overview of agentic enterprises, adoption statistics, and frameworks: ## Definition of Agentic Enterprise An **agentic enterprise** is an organization that leverages agentic AI: Systems with autonomy and goal-directed behavior capable of making independent decisions, planning, and adapting to achieve specific objectives without direct, ongoing human input. These enterprises deploy AI systems that can autonomously execute complex workflows, make decisions, and adapt to changing conditions without constant human oversight, fundamentally transforming how business operations are conducted. ## Adoption Statistics ### Current Adoption Rates **Deloitte Research (2024-2025):** - More than one in four leaders (26%) say their organizations are already exploring agentic AI to a large or very large extent - Deloitte predicts that in 2025, 25% of companies that use gen AI will launch agentic AI pilots or proofs of concept, growing to 50% in 2027 **McKinsey Projections:** - McKinsey estimates that over the long term, gen AI could yield $4.4 trillion in productivity growth potential **Operational Implementation:** - According to surveys conducted by Deloitte in Q2 2025, 14% of all internal enterprise emails—ranging from status updates to performance reviews—are now drafted by agentic AI ### Quality Oversight Practices Twenty-seven percent of respondents whose organizations use gen AI say that employees review all content created by gen AI before it is used, indicating varying levels of human oversight in current implementations. ## Key Frameworks and Implementation Models ### McKinsey's Agentic AI Framework **Sources:** - [McKinsey - Seizing the Agentic AI Advantage](https://www.mckinsey.com/capabilities/quantumblack/our-insights/seizing-the-agentic-ai-advantage) - [McKinsey - Superagency in the Workplace](https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/superagency-in-the-workplace-empowering-people-to-unlock-ais-full-potential-at-work) - [McKinsey - COO Operational Impact Framework](https://www.mckinsey.com/capabilities/operations/our-insights/how-coos-maximize-operational-impact-from-gen-ai-and-agentic-ai) ### Deloitte's Enterprise Implementation Framework **Key Focus Areas:** - Pilot and proof-of-concept development - Workflow integration strategies - Risk management and governance **Sources:** - [Deloitte - State of Generative AI in the Enterprise 2024](https://www.deloitte.com/us/en/what-we-do/capabilities/applied-artificial-intelligence/content/state-of-generative-ai-in-enterprise.html) - [Deloitte Insights - Autonomous Generative AI Agents](https://www.deloitte.com/us/en/insights/industry/technology/technology-media-and-telecom-predictions/2025/autonomous-generative-ai-agents-still-under-development.html) ### Enterprise AI Effectiveness Framework **Components:** - ROI measurement methodologies - Risk assessment frameworks - Impact benchmarking systems **Source:** [Medium - Measuring AI Adoption Effectiveness](https://medium.com/@adnanmasood/measuring-the-effectiveness-of-ai-adoption-definitions-frameworks-and-evolving-benchmarks-63b8b2c7d194) ## Market Analysis and Strategic Insights ### Comprehensive Market Survey Top consultancies reveal agentic AI's enterprise potential, emphasizing governance, adoption readiness, and strategic transformation to avoid costly missteps. **Source:** [Klover.ai - AI Agents Enterprise Market Survey](https://www.klover.ai/ai-agents-in-enterprise-market-survey-mckinsey-pwc-deloitte-gartner/) ### Customer Experience Applications Agentic AI offers the potential to unlock new levels of productivity in service operations with specific applications in customer experience transformation. **Source:** [McKinsey - Agentic AI and Customer Experience](https://www.mckinsey.com/capabilities/operations/our-insights/the-future-of-customer-experience-embracing-agentic-ai) ## Current Industry Statistics (2025) **Comprehensive Statistics Collection:** - [DigitalDefynd - Top 100 Agentic AI Facts & Statistics](https://digitaldefynd.com/IQ/agentic-ai-statistics/) The data shows that agentic enterprises are rapidly emerging as organizations recognize the transformative potential of autonomous AI systems, with adoption expected to accelerate significantly through 2027 as frameworks mature and pilot programs demonstrate clear ROI.

Here’s a structured overview of what an **agentic enterprise** is—including adoption statistics, conceptual frameworks, and a high-quality whitepaper to reference. --- ## What is an Agentic Enterprise? An **agentic enterprise** is one where AI agents operate as active, autonomous participants in workflows—not merely passive assistants. These agents perceive, reason, plan, and act toward enterprise goals, often collaborating with humans and other agents to achieve outcomes with minimal supervision. This model transforms how organizations manage complex workflows and make decisions. ([Elsewhen][1], [Astreya][2]) Key characteristics include: * Embedded **multi-agent systems (MAS)** coordinating to deliver efficiency, adaptability, and productivity. ([Elsewhen][1]) * AI agents that gather context from multiple sources, self-direct, and execute defined goals. ([Gigster][3], [Charter Global][4], [IBM][5]) * A shift from generative/passive AI to **proactive, goal-driven systems**. ([Charter Global][4], [Financial Times][6]) --- ## Adoption Statistics * **61%** of organizations have begun developing agentic AI systems by early 2025. Enterprises expect **33% of software applications** to include agentic AI by **2028**. ([Akka][7]) * **Gartner** reports: * Agentic AI embedded in over **60%** of enterprise AI rollouts in 2025. ([DigitalDefynd Education][8]) * Enterprise adoption rates are projected to rise sharply. * **Gartner Forecast**: Adoption of agentic AI in enterprise software rising from less than 1% in 2024 to **33% by 2028**. ([Gigster][9]) * According to **Multimodal.dev** (based on PagerDuty/Wakefield research): * Nearly **80%** of organizations now use AI agents. * **96%** plan to expand agentic AI usage in 2025. * **43%** allocate over **50% of their AI budgets** to agentic AI. * **62%** anticipate ROI exceeding **100%**. ([multimodal.dev][10]) * **Deloitte Insight**: * **25%** of businesses trialing agentic AI within three months. * **50%** expected to launch agentic AI pilots by **2027**. ([The Australian][11]) Overall, these statistics indicate rapid adoption and strong expectations for high return—but also caution about scaling and sustaining these systems. --- ## Frameworks & Architecture Several conceptual and practical frameworks guide organizations toward building and scaling agentic enterprises: 1. **Three-Tier Agentic AI Architecture** (InfoQ): * **Foundation Tier**: Infrastructure, data access, model support. * **Workflow Tier**: Orchestration of tasks, agent coordination. * **Autonomous Tier**: Trust, transparency, governance necessary before autonomous functionality. ([InfoQ][12]) 2. **Enterprise Agentic AI Strategic Framework** (Cognizant whitepaper): * Decompose roles into agent-suitable tasks. * Orchestrate multi-agent systems. * Define autonomy levels and gradually evolve capabilities. * Include case studies (BFS, insurance, finance) with measurable outcomes. ([www.cognizant.com][13]) 3. **Product Category and Adoption Model** (Everest Group): * Differentiates between **multi-domain frameworks, builder platforms,** and **single-purpose agents**. * Highlights build vs. buy decisions and integration complexity. ([Everest Group][14]) --- ## Recommended Whitepaper ### **The Enterprise Guide to Agentic AI** — Cognizant This comprehensive whitepaper addresses the strategic and operational dimensions necessary for enterprises to adopt agentic AI effectively: * **Focus Areas**: * How to move beyond traditional automation to autonomous, goal-driven systems. * Practical frameworks for decomposition, multi-agent orchestration, and autonomy calibration. * Industry case studies with measurable business value. This is a high-quality, enterprise-grade resource suited for strategy docs, executive briefs, or tech planning. ([www.cognizant.com][13]) --- ## Summary Table | Aspect | Summary | | -------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------ | | Definition | An enterprise where autonomous AI agents are active workflow participants, collaborating to achieve goals. | | Adoption Stats | \~60% developer adoption; 33% of apps to include agentic AI by 2028; ROI expectations high; pilots increasing rapidly. | | Architectural Models | Three-tier architecture (foundation → workflow → autonomy); strategic decomposition and orchestration frameworks; product build vs buy taxonomy. | | Whitepaper | **Cognizant’s Enterprise Guide to Agentic AI** — strategic and operational framework with case studies. | --- Would you like a visual roadmap or slide-ready summary of these stats and frameworks? Or perhaps a risk/governance checklist to accompany your rollout strategy? * [The Australian](https://www.theaustralian.com.au/business/cfo-journal/scaling-agentic-ai-is-a-business-transformation-not-just-a-tech-project/news-story/ad9cdd1045262c984ce366fc19fc97ab?utm_source=chatgpt.com) * [Financial Times](https://www.ft.com/content/3e862e23-6e2c-4670-a68c-e204379fe01f?utm_source=chatgpt.com) * [businessinsider.com](https://www.businessinsider.com/generative-ai-evolution-software-companies-develop-ai-agents-workforce-2025-3?utm_source=chatgpt.com) [1]: https://www.elsewhen.com/reports/building-the-agentic-enterprise/?utm_source=chatgpt.com "Building the Agentic Enterprise" [2]: https://astreya.com/agentic-enterprise-how-servicenow-is-transforming-ai-driven-operations/?utm_source=chatgpt.com "Agentic Enterprise: How ServiceNow Is Transforming AI- ..." [3]: https://gigster.com/blog/what-is-agentic-ai-and-how-can-you-prepare-your-enterprise/?utm_source=chatgpt.com "What Is Agentic AI and How Can You Prepare Your ..." [4]: https://www.charterglobal.com/beyond-genai-why-agentic-ai-is-the-next-phase-of-enterprise-transformation/?utm_source=chatgpt.com "Agentic AI: The Future Beyond GenAI for Enterprises" [5]: https://www.ibm.com/think/topics/agentic-ai?utm_source=chatgpt.com "What Is Agentic AI? | IBM" [6]: https://www.ft.com/content/3e862e23-6e2c-4670-a68c-e204379fe01f?utm_source=chatgpt.com "AI agents: from co-pilot to autopilot" [7]: https://akka.io/blog/agentic-ai-frameworks?utm_source=chatgpt.com "Agentic AI frameworks for enterprise scale: A 2025 guide" [8]: https://digitaldefynd.com/IQ/agentic-ai-statistics/?utm_source=chatgpt.com "Top 100 Agentic AI Facts & Statistics [2025] - DigitalDefynd" [9]: https://gigster.com/blog/why-your-enterprise-isnt-ready-for-agentic-ai-workflows/?utm_source=chatgpt.com "Why Your Enterprise Isn't Ready for Agentic AI Workflows" [10]: https://www.multimodal.dev/post/agentic-ai-statistics?utm_source=chatgpt.com "10 AI Agent Statistics for Late 2025 - Multimodal" [11]: https://www.theaustralian.com.au/business/cfo-journal/scaling-agentic-ai-is-a-business-transformation-not-just-a-tech-project/news-story/ad9cdd1045262c984ce366fc19fc97ab?utm_source=chatgpt.com "Scaling Agentic AI is business transformation - not just a tech project" [12]: https://www.infoq.com/articles/agentic-ai-architecture-framework/?utm_source=chatgpt.com "Agentic AI Architecture Framework for Enterprises" [13]: https://www.cognizant.com/en_us/industries/documents/the-enterprise-guide-to-agentic-ai.pdf?utm_source=chatgpt.com "The Enterprise Guide to Agentic AI" [14]: https://www.everestgrp.com/blog/the-enterprise-guide-to-agentic-ai-product-categories-navigating-the-build-to-buy-spectrum-blog.html?utm_source=chatgpt.com "The Enterprise Guide To Agentic AI Product Categories"

An **Agentic Enterprise** is an organizational model where intelligent, autonomous AI systems—called agents—collaborate seamlessly with humans to achieve strategic business goals. Unlike traditional automation, these AI agents operate with independent reasoning, planning, learning, and adaptation, executing multi-step workflows and making decisions with minimal human input. This represents a fundamental shift from AI as a tool to AI as an active participant and co-worker in core operations, driving resilience, scalability, and agility in enterprises.[1] ## Adoption Statistics and Trends - Gartner predicts that by 2028, **33% of enterprise software applications** will embed agentic AI capabilities, rising from almost none in 2023. - Enterprises across marketing, insurance, fintech, and operations are increasingly embedding autonomous agents to orchestrate campaigns, underwrite risk dynamically, prevent fraud in real time, and optimize supply chains.[2][3] - The transition involves redesigning processes, workforce roles, leadership practices, and governance to foster a hybrid human-AI workforce. ## Conceptual Frameworks for Agentic Enterprises - **Four-Phase Transformation:** Enterprises progress through Assess & Align, Invest & Upskill, Implement & Scale, and Govern & Trust phases as part of their agentic AI journey.[3] - **Human-Agent Collaboration:** Agents augment rather than replace humans, managing repetitive tasks or complex autonomous workflows, freeing humans to focus on creativity and judgment.[1] - **Autonomy Calibration:** Effective design involves determining levels of agent autonomy, balancing control and trust while ensuring accountability and compliance.[1] - **Agent-to-Agent Commerce:** The rise of "Agent-to-Agent" interactions where AI systems negotiate or transact autonomously with other AI agents (e.g., personal shopping bots interacting with vendor bots).[3] - **Organizational Learning Machine:** A continuously evolving culture and structure that rapidly adapts to AI-driven insights and transformations to maintain competitive edge.[1] ## Key Sources and Whitepapers - **Agentic Enterprise: A Strategic Blueprint** (Klover.ai, 2025) offers an extensive blueprint on defining, designing, and governing agentic enterprises and their digital workforce.[1] - **The Agentic Enterprise: A C-Suite Blueprint for AI-Driven Value in 2025** (LinkedIn article) details the leadership, governance, and strategic imperatives for adoption along with ROI examples.[3] - **What Is Agentic AI? Why Every Entrepreneur Should Care in 2025** (Beam.ai, 2025) explains the shift from task-based to autonomous AI systems and its impact on business strategy and software.[2] - **Seizing the Agentic AI Advantage** (McKinsey, 2025) explores how agentic AI shapes both vertical and horizontal use cases with a focus on business outcomes.[4] These materials collectively provide definitions, adoption forecasts, strategic frameworks, and leadership guidance for enterprises navigating the agentic AI transformation.[4][2][3][1] *** **References:** - Agentic Enterprise: A Strategic Blueprint (Klover.ai)[1] - What Is Agentic AI? Why Every Entrepreneur Should Care (Beam.ai)[2] - The Agentic Enterprise: A C-Suite Blueprint (LinkedIn)[3] - Seizing the Agentic AI Advantage (McKinsey)[4] [1](https://www.klover.ai/agentic-enterprise-a-strategic-blueprint/) [2](https://beam.ai/agentic-insights/what-is-agentic-ai-why-every-entrepreneur-should-care-in-2025) [3](https://www.linkedin.com/pulse/agentic-enterprise-c-suite-blueprint-ai-driven-value-2025-maginley-cahbe) [4](https://www.mckinsey.com/capabilities/quantumblack/our-insights/seizing-the-agentic-ai-advantage) [5](https://time.com/7312641/agentic-ai-era-humans/) [6](https://www.openocean.vc/articles/the-state-of-agentic-ai-in-2025-whats-working-what-isnt-and-whats-next) [7](https://akka.io/blog/agentic-ai-frameworks) [8](https://www.mercer.com/insights/people-strategy/hr-transformation/heads-up-hr-2025-is-the-year-of-agentic-ai/) [9](https://www.weforum.org/stories/2025/06/cognitive-enterprise-agentic-business-revolution/)

These capabilities form the foundation of what we call the agentic enterprise — an organisation where AI-driven systems collaborate seamlessly, adapt dynamically, and operate with a degree of independent reasoning. https://www.elsewhen.com/reports/building-the-agentic-enterprise/

I'll search for information about agentic enterprises, their adoption statistics, and frameworks.Based on my research, here's a comprehensive overview of agentic enterprises, adoption statistics, and frameworks: ## Definition of Agentic Enterprise An **agentic enterprise** is an organization that leverages agentic AI: Systems with autonomy and goal-directed behavior capable of making independent decisions, planning, and adapting to achieve specific objectives without direct, ongoing human input. These enterprises deploy AI systems that can autonomously execute complex workflows, make decisions, and adapt to changing conditions without constant human oversight, fundamentally transforming how business operations are conducted. ## Adoption Statistics ### Current Adoption Rates **Deloitte Research (2024-2025):** - More than one in four leaders (26%) say their organizations are already exploring agentic AI to a large or very large extent - Deloitte predicts that in 2025, 25% of companies that use gen AI will launch agentic AI pilots or proofs of concept, growing to 50% in 2027 **McKinsey Projections:** - McKinsey estimates that over the long term, gen AI could yield $4.4 trillion in productivity growth potential **Operational Implementation:** - According to surveys conducted by Deloitte in Q2 2025, 14% of all internal enterprise emails—ranging from status updates to performance reviews—are now drafted by agentic AI ### Quality Oversight Practices Twenty-seven percent of respondents whose organizations use gen AI say that employees review all content created by gen AI before it is used, indicating varying levels of human oversight in current implementations. ## Key Frameworks and Implementation Models ### McKinsey's Agentic AI Framework **Sources:** - [McKinsey - Seizing the Agentic AI Advantage](https://www.mckinsey.com/capabilities/quantumblack/our-insights/seizing-the-agentic-ai-advantage) - [McKinsey - Superagency in the Workplace](https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/superagency-in-the-workplace-empowering-people-to-unlock-ais-full-potential-at-work) - [McKinsey - COO Operational Impact Framework](https://www.mckinsey.com/capabilities/operations/our-insights/how-coos-maximize-operational-impact-from-gen-ai-and-agentic-ai) ### Deloitte's Enterprise Implementation Framework **Key Focus Areas:** - Pilot and proof-of-concept development - Workflow integration strategies - Risk management and governance **Sources:** - [Deloitte - State of Generative AI in the Enterprise 2024](https://www.deloitte.com/us/en/what-we-do/capabilities/applied-artificial-intelligence/content/state-of-generative-ai-in-enterprise.html) - [Deloitte Insights - Autonomous Generative AI Agents](https://www.deloitte.com/us/en/insights/industry/technology/technology-media-and-telecom-predictions/2025/autonomous-generative-ai-agents-still-under-development.html) ### Enterprise AI Effectiveness Framework **Components:** - ROI measurement methodologies - Risk assessment frameworks - Impact benchmarking systems **Source:** [Medium - Measuring AI Adoption Effectiveness](https://medium.com/@adnanmasood/measuring-the-effectiveness-of-ai-adoption-definitions-frameworks-and-evolving-benchmarks-63b8b2c7d194) ## Market Analysis and Strategic Insights ### Comprehensive Market Survey Top consultancies reveal agentic AI's enterprise potential, emphasizing governance, adoption readiness, and strategic transformation to avoid costly missteps. **Source:** [Klover.ai - AI Agents Enterprise Market Survey](https://www.klover.ai/ai-agents-in-enterprise-market-survey-mckinsey-pwc-deloitte-gartner/) ### Customer Experience Applications Agentic AI offers the potential to unlock new levels of productivity in service operations with specific applications in customer experience transformation. **Source:** [McKinsey - Agentic AI and Customer Experience](https://www.mckinsey.com/capabilities/operations/our-insights/the-future-of-customer-experience-embracing-agentic-ai) ## Current Industry Statistics (2025) **Comprehensive Statistics Collection:** - [DigitalDefynd - Top 100 Agentic AI Facts & Statistics](https://digitaldefynd.com/IQ/agentic-ai-statistics/) The data shows that agentic enterprises are rapidly emerging as organizations recognize the transformative potential of autonomous AI systems, with adoption expected to accelerate significantly through 2027 as frameworks mature and pilot programs demonstrate clear ROI.

Here’s a structured overview of what an **agentic enterprise** is—including adoption statistics, conceptual frameworks, and a high-quality whitepaper to reference. --- ## What is an Agentic Enterprise? An **agentic enterprise** is one where AI agents operate as active, autonomous participants in workflows—not merely passive assistants. These agents perceive, reason, plan, and act toward enterprise goals, often collaborating with humans and other agents to achieve outcomes with minimal supervision. This model transforms how organizations manage complex workflows and make decisions. ([Elsewhen][1], [Astreya][2]) Key characteristics include: * Embedded **multi-agent systems (MAS)** coordinating to deliver efficiency, adaptability, and productivity. ([Elsewhen][1]) * AI agents that gather context from multiple sources, self-direct, and execute defined goals. ([Gigster][3], [Charter Global][4], [IBM][5]) * A shift from generative/passive AI to **proactive, goal-driven systems**. ([Charter Global][4], [Financial Times][6]) --- ## Adoption Statistics * **61%** of organizations have begun developing agentic AI systems by early 2025. Enterprises expect **33% of software applications** to include agentic AI by **2028**. ([Akka][7]) * **Gartner** reports: * Agentic AI embedded in over **60%** of enterprise AI rollouts in 2025. ([DigitalDefynd Education][8]) * Enterprise adoption rates are projected to rise sharply. * **Gartner Forecast**: Adoption of agentic AI in enterprise software rising from less than 1% in 2024 to **33% by 2028**. ([Gigster][9]) * According to **Multimodal.dev** (based on PagerDuty/Wakefield research): * Nearly **80%** of organizations now use AI agents. * **96%** plan to expand agentic AI usage in 2025. * **43%** allocate over **50% of their AI budgets** to agentic AI. * **62%** anticipate ROI exceeding **100%**. ([multimodal.dev][10]) * **Deloitte Insight**: * **25%** of businesses trialing agentic AI within three months. * **50%** expected to launch agentic AI pilots by **2027**. ([The Australian][11]) Overall, these statistics indicate rapid adoption and strong expectations for high return—but also caution about scaling and sustaining these systems. --- ## Frameworks & Architecture Several conceptual and practical frameworks guide organizations toward building and scaling agentic enterprises: 1. **Three-Tier Agentic AI Architecture** (InfoQ): * **Foundation Tier**: Infrastructure, data access, model support. * **Workflow Tier**: Orchestration of tasks, agent coordination. * **Autonomous Tier**: Trust, transparency, governance necessary before autonomous functionality. ([InfoQ][12]) 2. **Enterprise Agentic AI Strategic Framework** (Cognizant whitepaper): * Decompose roles into agent-suitable tasks. * Orchestrate multi-agent systems. * Define autonomy levels and gradually evolve capabilities. * Include case studies (BFS, insurance, finance) with measurable outcomes. ([www.cognizant.com][13]) 3. **Product Category and Adoption Model** (Everest Group): * Differentiates between **multi-domain frameworks, builder platforms,** and **single-purpose agents**. * Highlights build vs. buy decisions and integration complexity. ([Everest Group][14]) --- ## Recommended Whitepaper ### **The Enterprise Guide to Agentic AI** — Cognizant This comprehensive whitepaper addresses the strategic and operational dimensions necessary for enterprises to adopt agentic AI effectively: * **Focus Areas**: * How to move beyond traditional automation to autonomous, goal-driven systems. * Practical frameworks for decomposition, multi-agent orchestration, and autonomy calibration. * Industry case studies with measurable business value. This is a high-quality, enterprise-grade resource suited for strategy docs, executive briefs, or tech planning. ([www.cognizant.com][13]) --- ## Summary Table | Aspect | Summary | | -------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------ | | Definition | An enterprise where autonomous AI agents are active workflow participants, collaborating to achieve goals. | | Adoption Stats | \~60% developer adoption; 33% of apps to include agentic AI by 2028; ROI expectations high; pilots increasing rapidly. | | Architectural Models | Three-tier architecture (foundation → workflow → autonomy); strategic decomposition and orchestration frameworks; product build vs buy taxonomy. | | Whitepaper | **Cognizant’s Enterprise Guide to Agentic AI** — strategic and operational framework with case studies. | --- Would you like a visual roadmap or slide-ready summary of these stats and frameworks? Or perhaps a risk/governance checklist to accompany your rollout strategy? * [The Australian](https://www.theaustralian.com.au/business/cfo-journal/scaling-agentic-ai-is-a-business-transformation-not-just-a-tech-project/news-story/ad9cdd1045262c984ce366fc19fc97ab?utm_source=chatgpt.com) * [Financial Times](https://www.ft.com/content/3e862e23-6e2c-4670-a68c-e204379fe01f?utm_source=chatgpt.com) * [businessinsider.com](https://www.businessinsider.com/generative-ai-evolution-software-companies-develop-ai-agents-workforce-2025-3?utm_source=chatgpt.com) [1]: https://www.elsewhen.com/reports/building-the-agentic-enterprise/?utm_source=chatgpt.com "Building the Agentic Enterprise" [2]: https://astreya.com/agentic-enterprise-how-servicenow-is-transforming-ai-driven-operations/?utm_source=chatgpt.com "Agentic Enterprise: How ServiceNow Is Transforming AI- ..." [3]: https://gigster.com/blog/what-is-agentic-ai-and-how-can-you-prepare-your-enterprise/?utm_source=chatgpt.com "What Is Agentic AI and How Can You Prepare Your ..." [4]: https://www.charterglobal.com/beyond-genai-why-agentic-ai-is-the-next-phase-of-enterprise-transformation/?utm_source=chatgpt.com "Agentic AI: The Future Beyond GenAI for Enterprises" [5]: https://www.ibm.com/think/topics/agentic-ai?utm_source=chatgpt.com "What Is Agentic AI? | IBM" [6]: https://www.ft.com/content/3e862e23-6e2c-4670-a68c-e204379fe01f?utm_source=chatgpt.com "AI agents: from co-pilot to autopilot" [7]: https://akka.io/blog/agentic-ai-frameworks?utm_source=chatgpt.com "Agentic AI frameworks for enterprise scale: A 2025 guide" [8]: https://digitaldefynd.com/IQ/agentic-ai-statistics/?utm_source=chatgpt.com "Top 100 Agentic AI Facts & Statistics [2025] - DigitalDefynd" [9]: https://gigster.com/blog/why-your-enterprise-isnt-ready-for-agentic-ai-workflows/?utm_source=chatgpt.com "Why Your Enterprise Isn't Ready for Agentic AI Workflows" [10]: https://www.multimodal.dev/post/agentic-ai-statistics?utm_source=chatgpt.com "10 AI Agent Statistics for Late 2025 - Multimodal" [11]: https://www.theaustralian.com.au/business/cfo-journal/scaling-agentic-ai-is-a-business-transformation-not-just-a-tech-project/news-story/ad9cdd1045262c984ce366fc19fc97ab?utm_source=chatgpt.com "Scaling Agentic AI is business transformation - not just a tech project" [12]: https://www.infoq.com/articles/agentic-ai-architecture-framework/?utm_source=chatgpt.com "Agentic AI Architecture Framework for Enterprises" [13]: https://www.cognizant.com/en_us/industries/documents/the-enterprise-guide-to-agentic-ai.pdf?utm_source=chatgpt.com "The Enterprise Guide to Agentic AI" [14]: https://www.everestgrp.com/blog/the-enterprise-guide-to-agentic-ai-product-categories-navigating-the-build-to-buy-spectrum-blog.html?utm_source=chatgpt.com "The Enterprise Guide To Agentic AI Product Categories"

An **Agentic Enterprise** is an organizational model where intelligent, autonomous AI systems—called agents—collaborate seamlessly with humans to achieve strategic business goals. Unlike traditional automation, these AI agents operate with independent reasoning, planning, learning, and adaptation, executing multi-step workflows and making decisions with minimal human input. This represents a fundamental shift from AI as a tool to AI as an active participant and co-worker in core operations, driving resilience, scalability, and agility in enterprises.[1] ## Adoption Statistics and Trends - Gartner predicts that by 2028, **33% of enterprise software applications** will embed agentic AI capabilities, rising from almost none in 2023. - Enterprises across marketing, insurance, fintech, and operations are increasingly embedding autonomous agents to orchestrate campaigns, underwrite risk dynamically, prevent fraud in real time, and optimize supply chains.[2][3] - The transition involves redesigning processes, workforce roles, leadership practices, and governance to foster a hybrid human-AI workforce. ## Conceptual Frameworks for Agentic Enterprises - **Four-Phase Transformation:** Enterprises progress through Assess & Align, Invest & Upskill, Implement & Scale, and Govern & Trust phases as part of their agentic AI journey.[3] - **Human-Agent Collaboration:** Agents augment rather than replace humans, managing repetitive tasks or complex autonomous workflows, freeing humans to focus on creativity and judgment.[1] - **Autonomy Calibration:** Effective design involves determining levels of agent autonomy, balancing control and trust while ensuring accountability and compliance.[1] - **Agent-to-Agent Commerce:** The rise of "Agent-to-Agent" interactions where AI systems negotiate or transact autonomously with other AI agents (e.g., personal shopping bots interacting with vendor bots).[3] - **Organizational Learning Machine:** A continuously evolving culture and structure that rapidly adapts to AI-driven insights and transformations to maintain competitive edge.[1] ## Key Sources and Whitepapers - **Agentic Enterprise: A Strategic Blueprint** (Klover.ai, 2025) offers an extensive blueprint on defining, designing, and governing agentic enterprises and their digital workforce.[1] - **The Agentic Enterprise: A C-Suite Blueprint for AI-Driven Value in 2025** (LinkedIn article) details the leadership, governance, and strategic imperatives for adoption along with ROI examples.[3] - **What Is Agentic AI? Why Every Entrepreneur Should Care in 2025** (Beam.ai, 2025) explains the shift from task-based to autonomous AI systems and its impact on business strategy and software.[2] - **Seizing the Agentic AI Advantage** (McKinsey, 2025) explores how agentic AI shapes both vertical and horizontal use cases with a focus on business outcomes.[4] These materials collectively provide definitions, adoption forecasts, strategic frameworks, and leadership guidance for enterprises navigating the agentic AI transformation.[4][2][3][1] *** **References:** - Agentic Enterprise: A Strategic Blueprint (Klover.ai)[1] - What Is Agentic AI? Why Every Entrepreneur Should Care (Beam.ai)[2] - The Agentic Enterprise: A C-Suite Blueprint (LinkedIn)[3] - Seizing the Agentic AI Advantage (McKinsey)[4] [1](https://www.klover.ai/agentic-enterprise-a-strategic-blueprint/) [2](https://beam.ai/agentic-insights/what-is-agentic-ai-why-every-entrepreneur-should-care-in-2025) [3](https://www.linkedin.com/pulse/agentic-enterprise-c-suite-blueprint-ai-driven-value-2025-maginley-cahbe) [4](https://www.mckinsey.com/capabilities/quantumblack/our-insights/seizing-the-agentic-ai-advantage) [5](https://time.com/7312641/agentic-ai-era-humans/) [6](https://www.openocean.vc/articles/the-state-of-agentic-ai-in-2025-whats-working-what-isnt-and-whats-next) [7](https://akka.io/blog/agentic-ai-frameworks) [8](https://www.mercer.com/insights/people-strategy/hr-transformation/heads-up-hr-2025-is-the-year-of-agentic-ai/) [9](https://www.weforum.org/stories/2025/06/cognitive-enterprise-agentic-business-revolution/)

These capabilities form the foundation of what we call the agentic enterprise — an organisation where AI-driven systems collaborate seamlessly, adapt dynamically, and operate with a degree of independent reasoning. https://www.elsewhen.com/reports/building-the-agentic-enterprise/

I'll search for information about agentic enterprises, their adoption statistics, and frameworks.Based on my research, here's a comprehensive overview of agentic enterprises, adoption statistics, and frameworks: ## Definition of Agentic Enterprise An **agentic enterprise** is an organization that leverages agentic AI: Systems with autonomy and goal-directed behavior capable of making independent decisions, planning, and adapting to achieve specific objectives without direct, ongoing human input. These enterprises deploy AI systems that can autonomously execute complex workflows, make decisions, and adapt to changing conditions without constant human oversight, fundamentally transforming how business operations are conducted. ## Adoption Statistics ### Current Adoption Rates **Deloitte Research (2024-2025):** - More than one in four leaders (26%) say their organizations are already exploring agentic AI to a large or very large extent - Deloitte predicts that in 2025, 25% of companies that use gen AI will launch agentic AI pilots or proofs of concept, growing to 50% in 2027 **McKinsey Projections:** - McKinsey estimates that over the long term, gen AI could yield $4.4 trillion in productivity growth potential **Operational Implementation:** - According to surveys conducted by Deloitte in Q2 2025, 14% of all internal enterprise emails—ranging from status updates to performance reviews—are now drafted by agentic AI ### Quality Oversight Practices Twenty-seven percent of respondents whose organizations use gen AI say that employees review all content created by gen AI before it is used, indicating varying levels of human oversight in current implementations. ## Key Frameworks and Implementation Models ### McKinsey's Agentic AI Framework **Sources:** - [McKinsey - Seizing the Agentic AI Advantage](https://www.mckinsey.com/capabilities/quantumblack/our-insights/seizing-the-agentic-ai-advantage) - [McKinsey - Superagency in the Workplace](https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/superagency-in-the-workplace-empowering-people-to-unlock-ais-full-potential-at-work) - [McKinsey - COO Operational Impact Framework](https://www.mckinsey.com/capabilities/operations/our-insights/how-coos-maximize-operational-impact-from-gen-ai-and-agentic-ai) ### Deloitte's Enterprise Implementation Framework **Key Focus Areas:** - Pilot and proof-of-concept development - Workflow integration strategies - Risk management and governance **Sources:** - [Deloitte - State of Generative AI in the Enterprise 2024](https://www.deloitte.com/us/en/what-we-do/capabilities/applied-artificial-intelligence/content/state-of-generative-ai-in-enterprise.html) - [Deloitte Insights - Autonomous Generative AI Agents](https://www.deloitte.com/us/en/insights/industry/technology/technology-media-and-telecom-predictions/2025/autonomous-generative-ai-agents-still-under-development.html) ### Enterprise AI Effectiveness Framework **Components:** - ROI measurement methodologies - Risk assessment frameworks - Impact benchmarking systems **Source:** [Medium - Measuring AI Adoption Effectiveness](https://medium.com/@adnanmasood/measuring-the-effectiveness-of-ai-adoption-definitions-frameworks-and-evolving-benchmarks-63b8b2c7d194) ## Market Analysis and Strategic Insights ### Comprehensive Market Survey Top consultancies reveal agentic AI's enterprise potential, emphasizing governance, adoption readiness, and strategic transformation to avoid costly missteps. **Source:** [Klover.ai - AI Agents Enterprise Market Survey](https://www.klover.ai/ai-agents-in-enterprise-market-survey-mckinsey-pwc-deloitte-gartner/) ### Customer Experience Applications Agentic AI offers the potential to unlock new levels of productivity in service operations with specific applications in customer experience transformation. **Source:** [McKinsey - Agentic AI and Customer Experience](https://www.mckinsey.com/capabilities/operations/our-insights/the-future-of-customer-experience-embracing-agentic-ai) ## Current Industry Statistics (2025) **Comprehensive Statistics Collection:** - [DigitalDefynd - Top 100 Agentic AI Facts & Statistics](https://digitaldefynd.com/IQ/agentic-ai-statistics/) The data shows that agentic enterprises are rapidly emerging as organizations recognize the transformative potential of autonomous AI systems, with adoption expected to accelerate significantly through 2027 as frameworks mature and pilot programs demonstrate clear ROI.

Here’s a structured overview of what an **agentic enterprise** is—including adoption statistics, conceptual frameworks, and a high-quality whitepaper to reference. --- ## What is an Agentic Enterprise? An **agentic enterprise** is one where AI agents operate as active, autonomous participants in workflows—not merely passive assistants. These agents perceive, reason, plan, and act toward enterprise goals, often collaborating with humans and other agents to achieve outcomes with minimal supervision. This model transforms how organizations manage complex workflows and make decisions. ([Elsewhen][1], [Astreya][2]) Key characteristics include: * Embedded **multi-agent systems (MAS)** coordinating to deliver efficiency, adaptability, and productivity. ([Elsewhen][1]) * AI agents that gather context from multiple sources, self-direct, and execute defined goals. ([Gigster][3], [Charter Global][4], [IBM][5]) * A shift from generative/passive AI to **proactive, goal-driven systems**. ([Charter Global][4], [Financial Times][6]) --- ## Adoption Statistics * **61%** of organizations have begun developing agentic AI systems by early 2025. Enterprises expect **33% of software applications** to include agentic AI by **2028**. ([Akka][7]) * **Gartner** reports: * Agentic AI embedded in over **60%** of enterprise AI rollouts in 2025. ([DigitalDefynd Education][8]) * Enterprise adoption rates are projected to rise sharply. * **Gartner Forecast**: Adoption of agentic AI in enterprise software rising from less than 1% in 2024 to **33% by 2028**. ([Gigster][9]) * According to **Multimodal.dev** (based on PagerDuty/Wakefield research): * Nearly **80%** of organizations now use AI agents. * **96%** plan to expand agentic AI usage in 2025. * **43%** allocate over **50% of their AI budgets** to agentic AI. * **62%** anticipate ROI exceeding **100%**. ([multimodal.dev][10]) * **Deloitte Insight**: * **25%** of businesses trialing agentic AI within three months. * **50%** expected to launch agentic AI pilots by **2027**. ([The Australian][11]) Overall, these statistics indicate rapid adoption and strong expectations for high return—but also caution about scaling and sustaining these systems. --- ## Frameworks & Architecture Several conceptual and practical frameworks guide organizations toward building and scaling agentic enterprises: 1. **Three-Tier Agentic AI Architecture** (InfoQ): * **Foundation Tier**: Infrastructure, data access, model support. * **Workflow Tier**: Orchestration of tasks, agent coordination. * **Autonomous Tier**: Trust, transparency, governance necessary before autonomous functionality. ([InfoQ][12]) 2. **Enterprise Agentic AI Strategic Framework** (Cognizant whitepaper): * Decompose roles into agent-suitable tasks. * Orchestrate multi-agent systems. * Define autonomy levels and gradually evolve capabilities. * Include case studies (BFS, insurance, finance) with measurable outcomes. ([www.cognizant.com][13]) 3. **Product Category and Adoption Model** (Everest Group): * Differentiates between **multi-domain frameworks, builder platforms,** and **single-purpose agents**. * Highlights build vs. buy decisions and integration complexity. ([Everest Group][14]) --- ## Recommended Whitepaper ### **The Enterprise Guide to Agentic AI** — Cognizant This comprehensive whitepaper addresses the strategic and operational dimensions necessary for enterprises to adopt agentic AI effectively: * **Focus Areas**: * How to move beyond traditional automation to autonomous, goal-driven systems. * Practical frameworks for decomposition, multi-agent orchestration, and autonomy calibration. * Industry case studies with measurable business value. This is a high-quality, enterprise-grade resource suited for strategy docs, executive briefs, or tech planning. ([www.cognizant.com][13]) --- ## Summary Table | Aspect | Summary | | -------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------ | | Definition | An enterprise where autonomous AI agents are active workflow participants, collaborating to achieve goals. | | Adoption Stats | \~60% developer adoption; 33% of apps to include agentic AI by 2028; ROI expectations high; pilots increasing rapidly. | | Architectural Models | Three-tier architecture (foundation → workflow → autonomy); strategic decomposition and orchestration frameworks; product build vs buy taxonomy. | | Whitepaper | **Cognizant’s Enterprise Guide to Agentic AI** — strategic and operational framework with case studies. | --- Would you like a visual roadmap or slide-ready summary of these stats and frameworks? Or perhaps a risk/governance checklist to accompany your rollout strategy? * [The Australian](https://www.theaustralian.com.au/business/cfo-journal/scaling-agentic-ai-is-a-business-transformation-not-just-a-tech-project/news-story/ad9cdd1045262c984ce366fc19fc97ab?utm_source=chatgpt.com) * [Financial Times](https://www.ft.com/content/3e862e23-6e2c-4670-a68c-e204379fe01f?utm_source=chatgpt.com) * [businessinsider.com](https://www.businessinsider.com/generative-ai-evolution-software-companies-develop-ai-agents-workforce-2025-3?utm_source=chatgpt.com) [1]: https://www.elsewhen.com/reports/building-the-agentic-enterprise/?utm_source=chatgpt.com "Building the Agentic Enterprise" [2]: https://astreya.com/agentic-enterprise-how-servicenow-is-transforming-ai-driven-operations/?utm_source=chatgpt.com "Agentic Enterprise: How ServiceNow Is Transforming AI- ..." [3]: https://gigster.com/blog/what-is-agentic-ai-and-how-can-you-prepare-your-enterprise/?utm_source=chatgpt.com "What Is Agentic AI and How Can You Prepare Your ..." [4]: https://www.charterglobal.com/beyond-genai-why-agentic-ai-is-the-next-phase-of-enterprise-transformation/?utm_source=chatgpt.com "Agentic AI: The Future Beyond GenAI for Enterprises" [5]: https://www.ibm.com/think/topics/agentic-ai?utm_source=chatgpt.com "What Is Agentic AI? | IBM" [6]: https://www.ft.com/content/3e862e23-6e2c-4670-a68c-e204379fe01f?utm_source=chatgpt.com "AI agents: from co-pilot to autopilot" [7]: https://akka.io/blog/agentic-ai-frameworks?utm_source=chatgpt.com "Agentic AI frameworks for enterprise scale: A 2025 guide" [8]: https://digitaldefynd.com/IQ/agentic-ai-statistics/?utm_source=chatgpt.com "Top 100 Agentic AI Facts & Statistics [2025] - DigitalDefynd" [9]: https://gigster.com/blog/why-your-enterprise-isnt-ready-for-agentic-ai-workflows/?utm_source=chatgpt.com "Why Your Enterprise Isn't Ready for Agentic AI Workflows" [10]: https://www.multimodal.dev/post/agentic-ai-statistics?utm_source=chatgpt.com "10 AI Agent Statistics for Late 2025 - Multimodal" [11]: https://www.theaustralian.com.au/business/cfo-journal/scaling-agentic-ai-is-a-business-transformation-not-just-a-tech-project/news-story/ad9cdd1045262c984ce366fc19fc97ab?utm_source=chatgpt.com "Scaling Agentic AI is business transformation - not just a tech project" [12]: https://www.infoq.com/articles/agentic-ai-architecture-framework/?utm_source=chatgpt.com "Agentic AI Architecture Framework for Enterprises" [13]: https://www.cognizant.com/en_us/industries/documents/the-enterprise-guide-to-agentic-ai.pdf?utm_source=chatgpt.com "The Enterprise Guide to Agentic AI" [14]: https://www.everestgrp.com/blog/the-enterprise-guide-to-agentic-ai-product-categories-navigating-the-build-to-buy-spectrum-blog.html?utm_source=chatgpt.com "The Enterprise Guide To Agentic AI Product Categories"

An **Agentic Enterprise** is an organizational model where intelligent, autonomous AI systems—called agents—collaborate seamlessly with humans to achieve strategic business goals. Unlike traditional automation, these AI agents operate with independent reasoning, planning, learning, and adaptation, executing multi-step workflows and making decisions with minimal human input. This represents a fundamental shift from AI as a tool to AI as an active participant and co-worker in core operations, driving resilience, scalability, and agility in enterprises.[1] ## Adoption Statistics and Trends - Gartner predicts that by 2028, **33% of enterprise software applications** will embed agentic AI capabilities, rising from almost none in 2023. - Enterprises across marketing, insurance, fintech, and operations are increasingly embedding autonomous agents to orchestrate campaigns, underwrite risk dynamically, prevent fraud in real time, and optimize supply chains.[2][3] - The transition involves redesigning processes, workforce roles, leadership practices, and governance to foster a hybrid human-AI workforce. ## Conceptual Frameworks for Agentic Enterprises - **Four-Phase Transformation:** Enterprises progress through Assess & Align, Invest & Upskill, Implement & Scale, and Govern & Trust phases as part of their agentic AI journey.[3] - **Human-Agent Collaboration:** Agents augment rather than replace humans, managing repetitive tasks or complex autonomous workflows, freeing humans to focus on creativity and judgment.[1] - **Autonomy Calibration:** Effective design involves determining levels of agent autonomy, balancing control and trust while ensuring accountability and compliance.[1] - **Agent-to-Agent Commerce:** The rise of "Agent-to-Agent" interactions where AI systems negotiate or transact autonomously with other AI agents (e.g., personal shopping bots interacting with vendor bots).[3] - **Organizational Learning Machine:** A continuously evolving culture and structure that rapidly adapts to AI-driven insights and transformations to maintain competitive edge.[1] ## Key Sources and Whitepapers - **Agentic Enterprise: A Strategic Blueprint** (Klover.ai, 2025) offers an extensive blueprint on defining, designing, and governing agentic enterprises and their digital workforce.[1] - **The Agentic Enterprise: A C-Suite Blueprint for AI-Driven Value in 2025** (LinkedIn article) details the leadership, governance, and strategic imperatives for adoption along with ROI examples.[3] - **What Is Agentic AI? Why Every Entrepreneur Should Care in 2025** (Beam.ai, 2025) explains the shift from task-based to autonomous AI systems and its impact on business strategy and software.[2] - **Seizing the Agentic AI Advantage** (McKinsey, 2025) explores how agentic AI shapes both vertical and horizontal use cases with a focus on business outcomes.[4] These materials collectively provide definitions, adoption forecasts, strategic frameworks, and leadership guidance for enterprises navigating the agentic AI transformation.[4][2][3][1] *** **References:** - Agentic Enterprise: A Strategic Blueprint (Klover.ai)[1] - What Is Agentic AI? Why Every Entrepreneur Should Care (Beam.ai)[2] - The Agentic Enterprise: A C-Suite Blueprint (LinkedIn)[3] - Seizing the Agentic AI Advantage (McKinsey)[4] [1](https://www.klover.ai/agentic-enterprise-a-strategic-blueprint/) [2](https://beam.ai/agentic-insights/what-is-agentic-ai-why-every-entrepreneur-should-care-in-2025) [3](https://www.linkedin.com/pulse/agentic-enterprise-c-suite-blueprint-ai-driven-value-2025-maginley-cahbe) [4](https://www.mckinsey.com/capabilities/quantumblack/our-insights/seizing-the-agentic-ai-advantage) [5](https://time.com/7312641/agentic-ai-era-humans/) [6](https://www.openocean.vc/articles/the-state-of-agentic-ai-in-2025-whats-working-what-isnt-and-whats-next) [7](https://akka.io/blog/agentic-ai-frameworks) [8](https://www.mercer.com/insights/people-strategy/hr-transformation/heads-up-hr-2025-is-the-year-of-agentic-ai/) [9](https://www.weforum.org/stories/2025/06/cognitive-enterprise-agentic-business-revolution/)

These capabilities form the foundation of what we call the agentic enterprise — an organisation where AI-driven systems collaborate seamlessly, adapt dynamically, and operate with a degree of independent reasoning. https://www.elsewhen.com/reports/building-the-agentic-enterprise/