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AI Agents for the Enterprise
Deploying AI agents into real business workflows — why 60% of pilots fail, and how to be in the 40% that succeed
Co-Created by Kiran Shirol and Claude
Topics
Adoption
Challenges
Integration
Workflows
Compliance
ROI
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12 chapters
· 4 sections
Section 1
Why & Readiness
Why enterprise is fundamentally harder, where projects fail, and the data readiness that kills most before they start.
1
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Why Enterprise Is Different
60% of agentic AI pilots fail. Process mirroring, black-box agents, the automation illusion, and why enterprise AI is a fundamentally different discipline.
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2
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The Adoption Gap: Why AI Projects Fail
Wrong use case, no observability, context collapse, tool overload. Real case studies of enterprise AI projects that failed.
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3
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Data Readiness & Legacy Systems
Only 7% of enterprises are data-ready. Siloed systems, inconsistent schemas, stale data, and the cleanup nobody budgets for.
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Section 2
Build
Selecting the right use cases, connecting to enterprise systems, and document intelligence as the safest first bet.
4
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Use Case Selection & Prioritization
Automation vs augmentation, complexity scoring, the “first use case” trap, and anti-patterns that guarantee failure.
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5
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Enterprise Integration Patterns
Connecting agents to ERP, CRM, ITSM. APIs, connectors, data federation, and why “just connect to SAP” is never simple.
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6
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Document Intelligence & Processing
Invoice extraction, contract analysis, claims handling — the safest first enterprise AI use case and the accuracy thresholds that matter.
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Section 3
People & Platforms
Designing human-AI handoffs, overcoming organizational resistance, and navigating the vendor landscape.
7
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Human-AI Workflow Design
Escalation paths, confidence thresholds, approval flows, and the critical difference between replacing and assisting.
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8
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Change Management & Resistance
62% of workers fear AI will impact their jobs. The 3-layer literacy model, manager enablement, and psychological safety.
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The Enterprise Agent Landscape
Copilot Studio, Agentforce, ServiceNow AI, UiPath — what each does well and where they oversell.
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Section 4
Prove & Scale
Measuring ROI, meeting compliance requirements, and scaling from pilot to enterprise-wide.
10
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Measurement, ROI & Business Impact
Cost savings, time-to-value, task completion rates, and how to prove the business case to skeptical CFOs.
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11
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Compliance, Audit Trails & Governance
Regulated industries, EU AI Act, explainability mandates, ISO 42001, and building audit-ready agent systems.
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12
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Production Hardening & Scaling
Circuit breakers, cost controls, observability, and scaling from pilot to enterprise-wide without the wheels falling off.
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