Right Question
My AI integration consultancy — start with actual intelligence. Most engagements start with a build; mine starts by mapping where AI actually helps a business and where it wouldn't, then proves the highest-value opportunity with a working prototype instead of a slide deck.
2026 – present
Founder
- Founded in 2026 — a discovery-first AI consultancy built on a simple premise: most businesses know AI matters but not where it actually helps, so every engagement starts by finding that first
- Strategy and build under one roof — the same practice that maps where AI belongs also engineers and ships it, so nothing gets lost in a handoff between a strategy firm and a dev shop
The right question is this: where does AI actually help this business, and where would it just be expensive theater? The build, the prototype, the handoff — all of it comes after that answer, not before.
The Context
Most AI engagements I'd seen from the outside picked one lane and stayed there — a strategy deck with no real path to production, or a build with no honest read on whether it solved a problem worth solving. Right Question is built to close that gap inside one relationship: understand the business first, then engineer against what's actually there, always starting with a short discovery before any real commitment to build anything.
The Approach
It starts by mapping how a business actually runs — the handoffs, the manual steps, the places where time quietly leaks — before a single tool gets recommended. Each opportunity is weighed by impact against effort, so what comes out is a short, honest list: what's worth building, and what only looks good in a demo. The strongest candidate gets built into a working prototype and tested against the real workflow before anyone commits to scaling it.