Revenue uplift
What the rebuilt team can now win, serve or ship that it could not before.
How we work
We are deployed engineers. We define your business reality, apply expert judgement, and deploy the AI solution that works. We map how it runs today, build the new version beside it so you see the gap, then rebuild it with you. You own what we build.
The model
It is one continuous process, not four separate steps. This is how consulting changes in the AI era: deployed engineers working inside the real environment, until the new operating system runs.
We lay out how your team’s people, technology and data work today, as one operating system.
We sit with the team and trace the real work: who does what, which tools and data they touch, where the time goes, and where the single points of failure sit.
We build a parallel AI team on your approved data, so you watch your own work running the new way.
This is the moment the conversation changes. We work on a read only copy of approved data, with no production access, inside agreed guardrails and under NDA, and sensitive actions gated. On that footing we stand up a working new version of the team beside the one you have now. You do not read a proposal, you watch your own work run the new way, end to end, with your people leading and the agents carrying the repeatable work underneath.
A bespoke plan to rebuild each pillar, in the order that pays off fastest.
Each pillar gets its own moves, sequenced so the fastest payback and the quick wins come first, priced before any heavy build begins.
We implement the quick wins, then work the rest of the roadmap with you.
We rebuild alongside your people, not in a back room, transferring capability as we go, and you own it at the end.
Running through every step: approval before sensitive data, external action, spend, production change or live testing.
The production path
The Mirror is shadow mode for a whole team. Evals turn uncertainty into evidence: we test the system against your own real work and investigate every miss. Autonomy is earned with evidence, not promised in a pilot.
Built and tested away from anything live.
Runs beside the real work. Output compared, never acted on.
Earns more scope as the evidence holds. Humans gate every step up.
Live, logged and measured. A named human still holds the gate.
What the rebuilt team can now win, serve or ship that it could not before.
Exposure engineered down, with the evidence trail to prove it.
Hours returned and spend consolidated, measured against your baseline.
The roadmap artifact
Every rebuild starts with a named picture of the team. Who does what today, which agents come underneath, what each person moves up to own, and the stage each agent comes online. Read only first, human gated, with an independent assurance agent logging every action.
The return is measured against the tool and model spend you already carry, so the board reads hours returned and coverage gained, not promises.
Not a slide. A working plan your board can read.
The sample maps a security team at Northwind Insurance, a fictional client. Figures are illustrative.
Atlas · Chief of Staff
Sequences the pod · your CISO deals only with Atlas
Stage 2 · visibility Stage 3 · decision support Stage 4 · automation
The engagement arc
01
One team. We map it, build the Mirror on your approved data inside agreed guardrails, and hand you a bespoke roadmap. One fixed fee scoped to one team, not an open ended retainer. The number is set when we scope the work.
02
We rebuild the operating system alongside your people, scoped to the roadmap. Then we run the same play on the next team.
03
As agents spread across the estate, they surface what changed, what drifted, and what needs a human decision. Your senior team and ours make the calls: kill, merge, fix, approve or scale.
Start here
One continuous flow, until the new operating system runs.