AI advisory · built around it

Most companies bolt AI on. The best are built around it.

I help mid-market and enterprise teams operate the way AI-native companies do — drawn from a front-row seat to how the next generation is actually built.

10+
Years at the frontier of AI investing
200+
AI-native companies seen built from zero
1
Shipped use case — how every engagement ends

A decade at the frontier of AI investing — a front-row seat to the companies redrawing your market.

BACKED BY PORTFOLIO AS SEEN IN PRESS

An AI-native competitor would collapse half your operation into a single agent. The question was never whether it happens. It's whether you build it first.

Big consultancies systematise yesterday's playbook. The flood of solo "AI advisors" has never shipped anything. The edge is a genuine frontier view — and the willingness to put it into production inside your business.

What I do

Three ways in. Each one ships something.

No retainers that drift. Every engagement is scoped to end in a concrete outcome you can point to.

01

AI-Native Diagnostic

A frontier-grade read on where an AI-native rival would leapfrog you — and where the real margin is hiding. Not a maturity model.

Ends in → a prioritised map, not a deck.
02

Ship a Use Case

We take one high-leverage workflow and put a working AI use case into production — proving the pattern your team can repeat.

Ends in → something shipped, in production.
03

Level Up the Team

Your leaders learn to think and operate AI-native — the judgement, not the jargon — so the capability stays after I leave.

Ends in → a team that carries it without me.

The approach

Map. Prioritise. Build. Embed.

A short, senior engagement that moves from a clear-eyed read to something working — then makes sure it sticks.

01

Map

Where you'd be leapfrogged, and where the margin sits.

02

Prioritise

One use case with the highest leverage, chosen ruthlessly.

03

Build

Put it into production — hands-on, not slideware.

04

Embed

Hand the pattern and the judgement to your team.

Who it's for

Two kinds of company. One quiet fear.

A — The scale-up

Fast, and worried about being leapfrogged.

£10–80m revenue · Series B–D · product & data at the core

The board is pushing on AI and no one credible owns it. You move quickly, but you can feel that an AI-native rival could collapse your advantage. You want someone who has watched exactly that happen — and can get ahead of it.

B — The modernizer

Established, with margin on the table and no map.

£50–250m revenue · often PE-backed · IT is the gatekeeper

You know there's value to unlock but the path isn't obvious, and the last thing you need is startup theatre. You want gravitas and safety: a senior partner who has seen this done properly and will be in the room throughout.

The edge — why a VC

A front-row seat you can't consult your way into.

I've watched hundreds of AI-native companies get built from zero. That playbook doesn't live in a Big-4 methodology — it lives in the room where it's being written.

Front-row view of how AI-native companies are actually built
Hands-on implementation — we ship, not slideware
Senior in the room throughout, no juniors handed the work
Deck-only consulting and yesterday's playbook

Start here

Start with a pilot, not a PowerPoint.

One conversation. We leave with a sharper read on where you'd be leapfrogged — or we don't go further. hello@apsora.ai