EBOOK
The agentic enterprise: operating models for AI-led work
Enterprise AI investment is accelerating, yet most engineering programmes never scale beyond the pilot stage. Script-based automation was built to repeat, not to reason. Scaling AI requires an engineering operating model built for agentic systems. Diagnose your gaps, benchmark your maturity, build your roadmap.
What you will uncover inside
- The 25 percent plateau: why most QA programmes stall at automation structural ceilings, and what is really holding them back.
- The three pillars that matter: testing, data, and decisioning: the architecture that separates embedded AI from bolted-on pilots.
- Your maturity score: a five-dimension diagnostic that places you on a 100-point maturity curve, no guesswork required.
- Your four-phase roadmap: the specific moves from Assess and Discover through to Continuous Improvement and Agentic Ops.
- Governance before scale: what EU AI Act obligations require, and how to build compliance as code instead of scrambling later.
- The KPIs your board wants: replace activity metrics with release confidence scores and evidence-backed decisions.
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