An analyst with a navigator’s instincts.

AI·BI exists for one reason: a wrong number costs a decision, not a slide revision. We make your numbers reliable — verified, attributed, and ready for the board.

The firm

We are deliberately small and deliberately AI-first. The training was data science; what stuck wasn’t the methods — it was the discipline of letting evidence win arguments. A clean cross-tab with the right dimensions beats a sophisticated model built on murky assumptions. Rigour over cleverness, every time.

Before we touch a query we take bearings — entity, segment, period, attribution. Scope is the compass fix; everything flows from it. We tell the story first and let the numbers prove it, and we own the recommendation rather than diffuse it into hedging.

The principal who signs off

An assurance brand needs a human name attached to the result. [Principal name] reads the work, applies judgement where the data is ambiguous, and stakes their name on the figure that reaches your board. The AI does the rigour at a pace a human team can’t match; the human owns the call. (Bio, photo and credentials to be finalised.)

Rob — the AI analyst

Rob is our autonomous analyst: a Claude-based agent with persistent, file-based memory that carries your context across sessions, a brand-as-code deliverable system that ships board-ready work every time, and an adversarial verification gate that checks every number before it’s presented. That combination — memory, brand-as-code, a verification gate, and a human who signs off — is what a Claude subscription does not give you, and it is the difference between a competent AI pilot and someone with a chatbot.

The standard

Verified numbers or nothing. No intermediate layers, no interpolating across gaps without disclosing exactly where the gap is and how wide. If data quality limits the answer, we say how and why before we say what we think anyway. We speak about the data as though the stakeholder is in the room — because they will be.