Why 95% of Agentic AI Deployments Fail - And How Process Intelligence Changes the Odds

In 2025, the single most quoted stat in enterprise AI is that 95% of deployments miss meaningful in this white paper, we unpack why that happens and lay out the infrastructure playbook for joining the 5% who actually fix it.

Featuring Contributions From

What You'll Learn

Why 2026 marks the agentic inflection point

where early operational learning compounds into advantages late entrants can't replicate.

Why "agents will figure it out"

is expensive optimism that leaves most organizations trapped in the overestimation phase of Amara's Law.

How grounding beats compute

with process intelligence providing the operational context that turns brittle models into reliable enterprise assets.

The ROI prioritization framework

How process intelligence provides the semantic business context that prevents AI agents from hallucinating plausible but catastrophic outcomes

What Others are Saying About This Topic?

"The differentiator between AI agents that scale and those trapped in “perpetual pilot mode” is not the agent’s intelligence, but the organization’s intelligence about the agent. Success is born from a robust governance framework established before deployment, not bolted on as an afterthought. Process intelligence provides this framework."

Noor Zehra Naqvi Director of Product Management AI, Data and Analytics, SAP Signavio

"AI agents are trained on vast but generic data, not the nuanced, enterprise-specific process context where real work happens. Without that grounding, they hallucinate process steps or take incorrect actions. Embedding process context from actual user interaction data enables agents to understand how processes are truly executed in the enterprise. This grounding allows AI agents to replicate human ways of working with precision and efficiency."

Santosh Kumar Practice Director, Everest Group

"Process intelligence directly solves enterprise transformation’s core challenge. Without it, automation teams rush manual analysis, missing exception paths that cause production failures and costly rework. Tools like KYP.ai cut analysis to days, capture full execution variants, and design robust automations. Delivering better ROI through grounded reality, not guesswork."

Rob Kennedy Senior Director Business Development, Capgemini
business

What Makes it Different?

It's a practitioner's playbook grounded in empirical research from MIT, McKinsey, BCG, Gartner, and ISG - addressing the specific operational challenges facing mid-market to enterprise organizations deploying agentic AI at scale.

Research-backed frameworks

(not marketing puffery) for ROI-driven automation portfolio management. 

Diagnostic Tools

including 12 readiness questions to assess whether you're building competitive advantage or expensive technical debt.

Key Data Points

from 2025's landmark agentic AI studies and reports by leading consulting and technology brands.

2026 Executive Guide in Numbers

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pages full of practical insights
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Readiness Questions to Assess
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Expert Contributions
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Download the Full White Paper

Get the complete framework for scaling agentic AI from pilot theater to production systems that compound value.