Agentic AI
Designing, operating and governing systems where AI agents plan, act and hand off work.
Books

Agentic Observability for AI Agents
From observability of agents to agentic observability: a runtime evidence architecture and a governed Observability Operations Agent.

AI Governance Frameworks
NIST AI RMF, ISO/IEC 42001, the EU AI Act and the OECD AI Principles operated as one governance architecture, from policy to runtime evidence and board oversight.

Runtime AI Governance
How approved governance intent becomes runtime controls, human intervention points and reconstructable evidence across the full agent action path.

FDE: Forward Deployed Engineer
The complete path from client ambiguity to durable production AI, and the professional practice and career path of Forward Deployed Engineering.

Architecting Production-Ready Gen AI and Agentic AI Systems
A practitioner playbook for the architecture decisions behind production GenAI and agentic systems, from decision contracts to durable execution and governance.

Agentic MDM
Master data management when software can reason about the golden record and act on it: Agents for MDM, MDM for Agents, and Proposal → Policy → Commit.

Agentic Dimensional Modeling
Agent-Ready Dimensional Modeling (ARDM): extending grain, facts, dimensions and conformance so AI agents can recommend, decide and act on analytical data.

Building the AI Platform Team for the Agentic Era
Who owns execution when agents cross every system boundary? The Execution Control Surface, three health planes and an operating model for the AI platform team.
AI-Native Software Testing
A practical handbook for QA engineers and SDETs designing AI-native test systems, with TypeScript and Playwright throughout.

Rewiring Software Delivery
ASDOM: an operating model for enterprise software delivery when coding agents can inspect, build, test and hand off work, but authority still belongs to people.

Agentic Data Architecture
How to redesign enterprise data platforms so AI agents get governed meaning, authoritative context, secure tools and audit-ready evidence.
Building the Agentic AI Governance Engine
Framework-driven assurance, multi-agent audits, remediation and evidence for enterprise AI.
Advisory
Runtime and agentic AI governance
Controls for AI agents in production: identity, intent, enforcement, human supervision and accountability across handoffs.
Production AI architecture review
An independent review of a GenAI or agentic system before or after go-live, covering architecture, evaluation, operations and governance.