Implementation

Bounded AI, built into your operation.

Enforcement software is one half. The other is building AI systems that were bounded from the first line of code. Three engagements, each with a fixed scope and a fixed price, and the honest limit stated before a contract is signed. Every engagement starts with an audit.

01 · Knowledge

Verified Knowledge Systems

Enterprise retrieval over your own documents, policies and operational data. Every answer attaches the source it came from. When retrieval finds nothing relevant, the system says so instead of answering from general knowledge.

5–6 weeks. Delivered by the engineering team.

02 · Department

AI-Native Department Transformation

One department converted to AI-native operation against an autonomy ceiling agreed in writing before anything is built. Every task is classified, and the ceiling follows from that classification.

10–12 weeks. Founder-delivered. Two per year.

03 · Enterprise

AI-Native Enterprise Transformation

Strategy, platform, retrieval and governance sequenced across departments. Each stage proves its governance before the next begins, which prevents agent sprawl instead of cleaning it up afterwards.

Sold in stages. You can stop after any of them.

How We Work

Two engagements at a time.

A constraint we have chosen: at most two engagements at once, and only one of them an enterprise transformation. Delivery quality in this work depends on senior attention.

01

The audit comes first, and it is separable

Every engagement opens with an audit: what the department actually does, which tasks are genuinely automatable, and what the honest ceiling is. You can stop there. Some clients should.

02

The founders run the stages that decide the outcome

The audit and the task classification are run by the people who designed the method, because those two stages decide whether the rest succeeds.

03

Governance is active from the first deployment

Not retrofitted at the end. Provenance, sampling and authority limits go in with the first system, because adding them afterwards means rebuilding it.

04

We decline work below a sixty percent ceiling

If the achievable automation does not justify the cost of getting there, we say so before you spend. A client who pays for a transformation that cannot deliver value becomes a reference against us.

Questions

How the services work.

They are separate. The product is a gateway that controls what AI agents may do. The services build AI systems inside your operation. You can buy either without the other.

With an audit. You get the honest ceiling and the cost of reaching it in writing, and you can stop there.

Each engagement has a fixed scope and a fixed price, agreed before work starts. The audit is priced separately.

At most two engagements at a time, and only one enterprise transformation.

Start with the audit.
Decide after.

Two weeks, fixed price, and a written ceiling for the department you care about most. If the number does not justify the work, we will tell you.