I advise on AI strategy, and build the systems behind it.

Strategy

Enterprise AI Strategy

Working with leadership teams to figure out where AI actually fits in the business, and where it doesn't, then turning that into an adoption plan their teams can realistically deliver against.

Architecture

Production AI Architecture

Designing agentic and LLM systems across data and retrieval, evals, guardrails, and observability, that stay secure, governed, and stable once they're running under real production traffic.

Transformation

Org-wide AI Transformation

The change side of AI adoption: enablement, operating model, and ways-of-working, so the technology lands with the people who have to use it day-to-day, not just the teams who built it.

The Work

What I do

• Technical lead on agentic AI and production LLM systems for strategic accounts.
• Unblock C-level architecture, security, and governance questions before they stall deals.
• Pair with field engineering to ship reference implementations customers can copy.

The Audience

Who I work with

• CIOs, CTOs, and Chief AI Officers at the top 1% of enterprise accounts across APAC.
• Internal product, security, and platform teams who own the AI primitives.
• Industry analysts and conference audiences on the future of knowledge work.

The Focus

What I focus on

• Translating AI capability into named, dollarised business outcomes.
• Reference architectures for agents, retrieval, evals, and guardrails at enterprise scale.
• Closing the gap between executive ambition and what production systems can deliver today.

The Shapes

What the engagements look like

• Executive briefings and architecture deep-dives, often back-to-back in a single visit.
• Multi-quarter transformation programs with named ROI targets and a steering cadence.
• Customer keynotes and executive forums representing the Atlassian view.