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The judgement that runs your business wasn't built overnight.

HOW YOU SCREEN BEFORE YOU COMMIT

WHAT COMPLIANCE REQUIRES BEFORE IT RUNS

WHO CLEARS EXCEPTIONS TO THE PROCESS

OPERATING LOGIC · NEVER ENCODED

The gap
Most organisations don't have an AI problem. They have an operating knowledge problem.

Expertise sits across documents, spreadsheets, systems and people — not in a form AI can reliably use. The models are capable. The organisation hasn't encoded how work should be done.

Operating logic is how you actually work: the evidence you trust, the rules you follow, the judgements you make and the actions you take.

The people who own the work curate what the system learns. Capability compounds from there.

People don't only approve outputs. They curate the operating logic the system relies on.

Improved one workflow at a time.

How engagements begin
A briefing. Then one live workflow.

Start with a focused briefing. Then build one bounded AI workflow your people run and curate. You leave with the live workflow and its documented operating logic — enough to extend later, not a finished enterprise platform.

01
Briefing
Identify the first workflow.
We map the value case, the operating logic to encode, and a delivery scope your team can own.
02
Build
Stand up one bounded capability.
Map the first workflow in 2–4 weeks. Deliver the first capability in about 8–12 weeks, depending on scope, access and client decisions.
03
Own
Keep what you build.
You own the live workflow and the documented operating logic. Extend to the next workflow when you are ready.
When to use Corven
Call us when the work is consequential. And generic AI is not enough.
AI is already in

Tools are live, but outputs still feel generic — or every team prompts differently.

Judgement is on the line

You're putting AI on work that touches revenue, risk, capital or contractual commitments.

Knowledge is trapped

Critical judgement still lives in a few people's heads, and the business feels it when they leave the room.

Before you book
We are not for every AI problem. Simple work already has an answer.

Generic tools cover simple work. Without a workflow owner, the build stalls. Without human oversight, the fit is different.

→
Simple or low-volume work
If generic AI already handles it well, start there.
→
No clear workflow owner
Without a senior operator who owns the problem and the budget, the engagement will stall.
→
Autonomous AI without oversight
Work that must run without human review belongs elsewhere.

AI prepares and executes.

People review and improve.

Workflows govern. Evidence creates trust.

Logged — every model output, override and approval carries provenance the workflow owner can review.

Approved — exceptions pause until a person clears them before consequential actions run.

Curated — accepted corrections update the operating logic the next run uses.

Start here

One conversation. Your workflows. Your operating logic.

A focused briefing for senior operators — including when AI is on the agenda and you cannot yet decide where to start. We leave you with a first workflow, the operating logic to encode, and whether a build is the right next step.

Built for leaders who already feel the gap between licensed AI tools and how their organisation actually works.

No pitch. No obligation.

In the hour
Your situation on AI, the workflows under pressure, and which one is worth encoding first.
What you leave with
A clear first move — and whether a build is the right next step.