COMPANY AI / CONSERAX

A clear path from idea to useful system.

Start with the task. Define what good looks like. Test the first version. Then decide what deserves a production build.

Company-specific AI, from focused pilot to practical delivery.

THE DELIVERY PATH

Make the next decision with evidence.

  1. 01

    Define

    We identify the user, the repeated task and the business result. We review the source material, access constraints and failure risks before choosing the implementation.

  2. 02

    Prove

    We build a bounded version and test it against representative tasks, including cases where it should stop, ask for help or decline to answer.

  3. 03

    Build

    We agree the production scope: interface, integrations, permissions, deployment, operating responsibilities and acceptance. A successful demonstration is not automatically a production-ready service.

  4. 04

    Improve

    We review actual use, quality, exceptions and operating costs. Improvements follow evidence and an agreed scope, not feature accumulation for its own sake.

ENGAGEMENTS

Three ways to work together.

Define and prove

One agreed use case, a source and access inventory, success criteria and a bounded prototype where appropriate. You receive findings and a go or no-go recommendation.

Build your company AI

A scoped system: knowledge or workflow logic, integrations, permissions, interface, evaluation and handover. Sources, users, supported actions and acceptance are agreed in advance.

Improve your AI over time

An agreed allowance for evaluation, defect resolution and product improvements. Hosting, usage charges, response expectations and operational ownership are explicit.

Scoped around your use case. Production integration, ongoing hosting and support are agreed separately; there is no one-size-fits-all price.

THE METHOD

Tailoring is more than fine-tuning.

Your AI is tailored through its knowledge, instructions, tools, interface and evaluation. Retrieval helps it consult current approved material. Fine-tuning can adapt behaviour when a suitable, authorised training set and evaluation justify it. Neither approach guarantees perfect answers, and a company-specific system does not require a proprietary foundation model.

Data and control questions.

Every project should be explicit about what information is used, where it is processed, who can access it, which providers are involved and what happens when the engagement ends. We work through those questions as part of the design and document the agreed approach.

BEYOND THE BUILD

Handover and ownership.

A useful system needs an owner. We agree the handover, operational documentation and support responsibilities so the delivered scope is understandable after the build.

YOUR NEXT STEP

Start with a well-defined question.

What would the first version have to demonstrate for you to decide whether to proceed?