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“The conversation for CIOs has shifted from ‘if’ to ‘how.’ In 2025, we see a strategic imperative to build an agent-based AI strategy. The focus is less on the novelty of a single agent performing a task and more on creating a cohesive fabric of specialized agents that can automate entire business functions. This is the year enterprise agentic AI moves from the lab to the core of strategic IT planning.”

Nick Patience

Vice President & Practice Lead, AI Platforms

Agentic AI’s Takeover of Enterprise Workflows

By the end of 2025, the impact of agentic AI on enterprise software will be marked by strategic adoption rather than just widespread mediation. At least 15-20% of routine tasks within specific corporate functions–notably HR and customer service–will be initiated and managed by AI agents, with software firms leading the way in adoption. This will catalyze a significant evolution in software licensing, with a clear trend toward outcome-based and consumption-driven pricing models over traditional per-seat licenses.

The acceleration of this trend has become more nuanced and is now driven by three evolved factors:

  • Maturation of Foundational Models: The first half of 2025 saw the launch and enterprise-grade hardening of next-generation large language models (LLMs, including OpenAI’s GPT-4.5 and Google’s Gemini 2.5). These models possess vastly improved multi-step reasoning and reliability, moving agents from promising prototypes to dependable digital coworkers capable of handling complex, multi-system business processes with greater autonomy.
  • From API Availability to AI-Centric Integration: The critical mass of available APIs has been reached. The new focus for H2 2025 is on AI-centric integration frameworks and a move toward more flexible, AI-integrated APIs. This enables agents to connect to various systems and do so with a deeper understanding of the underlying data and business context.
  • SaaS Consolidation as an AI Catalyst: While typical large companies still juggle more than a hundred SaaS applications, a clear trend of consolidation has emerged. This is not a headwind for agentic AI, but a catalyst. CFOs and CIOs are now prioritizing platforms with strong, embedded AI and agentic capabilities, using AI as a key criterion to decide which applications to keep, ultimately creating a more streamlined, agent-ready software stack.
  • Cross-Platform Business Process Automation: An HR agent now executes the majority of the employee onboarding process autonomously. It not only creates accounts and schedules orientations but also intelligently provisions role-specific software licenses by interfacing with procurement systems, cross-referencing security clearances with IT compliance platforms, and confirming task completion, only flagging exceptions for human review.
  • Intelligent Resource Optimization: An agent continuously monitors enterprise resource planning (ERP) and supply chain platforms, demonstrating tangible ROI. It now autonomously adjusts inventory parameters based on real-time sales data from e-commerce platforms. It even predicts potential disruptions by analyzing logistics provider data, moving beyond simple reordering to proactive supply chain management.
  • Integrated Customer Experience Management: A customer service agent is now the primary orchestrator for issue resolution. It autonomously identifies high-value customers with urgent issues via CRM data, retrieves their interaction history from support platforms, analyzes sentiment from social media, and presents a complete, actionable brief to a human agent, often with a recommended solution already drafted.

Nick is Vice President & Practice Lead, AI Platforms. He is a thought leader on the development, deployment and adoption of AI — an area he has been researching for 25 years. Prior to Futurum, Nick was a Managing Analyst with S&P Global Market Intelligence, with responsibility for 451 Research’s coverage of Data, AI, Analytics, Information Security and Risk. Nick became part of S&P Global through its 2019 acquisition of 451 Research, a pioneering analyst firm Nick co-founded in 1999. He is a sought-after speaker and advisor, known for his expertise in the drivers of AI adoption, industry use cases, and the infrastructure behind its development and deployment. Nick also spent three years as a product marketing lead at Recommind (now part of OpenText), a machine learning-driven eDiscovery software company. Nick is based in London.

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