Insights
Practical guidance for shipping agentic AI with governance, auditability, and production-grade reliability.
Prompt Versioning and Rollbacks for Production Agents
Treat prompts like code—semantic versions, changelogs, and instant rollback when behavior shifts.
Agent Routing and Failover Without Surprises
How to design provider/model routing with policy control, graceful degradation, and predictable costs.
Tooling Catalog and Blast Radius Control
Treat tools as product surface area—documented schemas, permissions, and safe defaults.
Incident Response for LLM Agents
Runbooks for misfires—containment, rollback, evidence capture, and post-incident improvements.
Evaluation Harness for Agentic Workflows
Ship agents like software—regression tests for prompts, tools, policies, and routing decisions.
Data Minimization for Agentic AI
Reduce data exposure while improving reliability—scoped retrieval, redaction, and least-privilege connectors.
Agentic AI Operating Model for Enterprises
A practical operating model for deploying agents safely—roles, controls, runbooks, and measurable outcomes.
Audit Evidence and Lineage for LLM Agents
How to generate audit-ready evidence from agent runs—tool call lineage, approvals, and replayability.
Why Autonomous Decision Systems Fail — and How Agentic + Quantum Fixes It
Prediction is not decision. Why autonomy collapses under constraints—and how governed agentic planning plus optimization makes it reliable.
Pilot-to-Paid AI Programs That Actually Convert
A playbook for moving from a successful pilot to a repeatable paid rollout with procurement-grade evidence.
Budget Controls for Agents
Cost governance patterns: per-run caps, per-tenant budgets, and policy-driven model routing.
Governance-First Agentic AI: A Practical Blueprint
A step-by-step blueprint for governed agents: policy gates, audit evidence, risk controls, and enterprise deployment patterns.
Security Posture for Agent Platforms
Threat model, isolation boundaries, key management, and safe tool execution for multi-tenant agentic systems.
Agentic AI governance in the enterprise
Why enterprise autonomy fails without policy-bound orchestration, approvals, audit trails, and budget controls.
Observability for LLM Agents
What to log, how to trace multi-step runs, and the dashboards that matter in production.
Agent-to-Agent Communication Patterns
Collaboration patterns for multi-agent systems: delegation, contracts, and verification loops.
Enterprise AI Governance Basics
A practical governance baseline for agentic AI: policies, approvals, audits, and risk controls.
Public-sector AI readiness: what buyers ask about AI platforms
A field guide to controls, evidence, and procurement workflows for government and regulated buyers.
Quantum is Not a Gimmick (When Used Correctly)
Where quantum-inspired optimization helps—and where it doesn’t—when constraints and combinatorics matter.
Why AI budgets fail without hard controls
Soft alerts aren’t enough. Budget caps, approvals, and deterministic replay are required for safe scale.