Taking frontier models from flawless demo to dependable system: memory, orchestration, evaluation, and the governance that lets high-autonomy agents be trusted. I lead a regional AI engineering practice at Microsoft Services and build in the open as copilot-agents-dojo.
Memory, state, and orchestration: the architecture that makes an agent dependable, not just impressive in a demo.
Read more → 02The discipline that separates a demo from a system. Benchmarks, eval harnesses, traces, and the numbers that tell you it actually works.
Read more → 03Opt-in execution, verifiable guardrails, soul files, live controls. Engineering controls, not compliance theatre.
Read more → 04Hiring, coaching, and holding a uniformly high bar; executive advisory as a consequence of credibility, not the headline.
Read more →Install OpenChamber on your Mac, give one session a finish line with Session Goals, keep the Mac awake, and check in from your phone over Private Relay. Every setting and command checked against the docs and the v2.6.0 source.
Read →Install Hermes Agent, connect one model, prove it can hold a normal chat, then give it one job that runs every evening without you. Every command checked against the official docs.
Read →What Microsoft's September 2026 Fabric IQ Ontology briefing revealed, where public documentation still describes the current preview, and what enterprise teams should test next.
Read →I lead the architects and engineers who turn the AI frontier into enterprise reality.
The work isn't only technical. It's translating ambition into platforms that are secure, resilient, and accountable — and building the world-class, diverse teams that can deliver them at the highest levels of customer impact.
Accelerated time-to-innovation, with AI moved safely from pilot to production.
Strengthened security postures across cloud and AI estates.
Platforms built to stay reliable under enterprise-scale load and scrutiny.
Cost optimization that holds up as platforms grow.
New business and revenue models unlocked by AI and cloud.
World-class, diverse teams capable of sustaining all of the above.
What I'm building in the open — pulled live from github.com/andreaswasita.
A behavioral governance framework for GitHub Copilot agents — skills.md and instructions to make AI coding agents think like senior engineers.
View on GitHub →A skills & discipline framework for Microsoft 365 Copilot Cowork — for knowledge workers using AI as a coworker.
View on GitHub →I'm Regional CTO and Director of the Azure Cloud + AI Architecture practice at Microsoft Services, leading high-caliber architects, engineers, and cross-functional partners across APAC and beyond.
I'm an avid reader and a lifelong student of both technology and the financial industry, and I build in the open. copilot-agents-dojo and copilot-cowork-dojo are working frameworks for making AI coding agents behave with the discipline of senior engineers and collaborate as a team — where I prototype the agent patterns I bring to enterprise scale.
Always architecting the future — and deeply grateful for the teams and customers who make it possible.