Insights
Perspectives from the work.
Field notes, reports, and case studies on taking enterprise AI from pilot to production.
TOPIC
TYPE
Featured · Perspective14 Sep 2026
Why AI agents stall after the pilot — and what production actually requiresMost agent pilots succeed on a narrow demo and fail on the fourth integration. The gap is rarely the model; it is identity, observability, and the cost of exceptions.Principal, Agentic AI Practice · 9 min readGovernance · Perspective21 Aug 2026
Designing an AI governance operating model that does not slow deliveryGovernance that arrives at the end of a project becomes a veto. Built into intake, evaluation, and release, it becomes a release mechanism.Director, AI Risk & Governance · 11 minTalent · Report30 Jul 2026
The AI engineering talent gap is a systems problemHiring more ML engineers does not fix a team with no data engineers, no platform owners, and no evaluation discipline. Plan for the whole system.Head of AI & Engineering Talent · 7 minData & Platforms · Perspective18 Jun 2026
Data readiness for agentic AI: six questions to answer firstBefore an agent can act on enterprise data, someone has to know who owns it, how fresh it is, and what the agent is allowed to change.Principal Architect, Data & AI Platforms · 8 minModernization · Perspective09 Apr 2026
Legacy modernization is the AI strategy nobody budgets forAI programs inherit the constraints of the systems beneath them. Modernizing the right three integrations often matters more than choosing the right model.Partner, Technology Modernization · 10 minStrategy · Report03 Dec 2025
Measuring AI ROI in the enterprise: from activity metrics to the P&LPrompts served and hours saved are not returns. A practical framework for tying AI programs to cost, revenue, and risk outcomes the CFO recognizes.Partner, Transformation Advisory · 12 min