Build the right thing, then make it work in the real business.

We begin with the process and the people using it. From there, we identify the information, integrations and controls needed for a useful result—and test the solution against representative work before expanding it.

  1. Discover

    We look at the current process, existing tools, source systems and the outcome you want. Output: an agreed workflow brief with the first outcome, boundaries and responsibilities.

  2. Design

    We design the workflow, the interface, who owns which data and where people review the result. Output: an agreed design with its review points and permissions.

  3. Build and connect

    We configure suitable tools or build the agreed software and integrations using supported interfaces. Output: a representative prototype to test, followed by the agreed implementation.

  4. Validate

    We test with representative examples, staff feedback and the cases that should fail safely. Output: evidence that it behaves as agreed, and a list of what to improve.

  5. Roll out and improve

    We prepare staff guidance, documentation and training, with monitoring and support limited to the agreed scope. Output: a handover covering use, access, maintenance and what comes next.

Agree what the first engagement will deliver.

The first scope is sized to the problem and the evidence available. We agree the useful outputs before work starts; these can include:

  • A workflow brief

    The current process, intended outcome, approved sources, access boundaries and the people responsible for review.

  • A representative prototype

    A configured tool or working example that lets the team assess the approach before committing to a wider implementation.

  • Testing and review findings

    Representative examples, expected results, staff feedback and unresolved issues to address before rollout.

  • Guidance and handover

    Staff instructions, reusable templates where useful, documentation and agreed responsibilities for access, costs and support.

Where a project can start

  • A practical adoption project

    Suitable tools, approved knowledge, reusable instructions and staff guidance for a defined team workflow.

  • A feature on your website

    Search, product discovery or a guided enquiry added to the site you already run.

  • A focused internal tool

    One workflow or one team, with the integrations it needs and nothing more.

  • A future shared workspace

    The Porthera platform is in development. We can discuss its fit for a wider project while delivering other services independently.

Discovery can show that existing software or ordinary automation already solves the problem. When it does, we’ll say so.

Scope reflects the systems, the workflow and what you need delivered and supported. We discuss implementation and any usage or hosting costs separately, rather than quote from a universal price list.

Common questions

What does a project cost?

Scope depends on the workflow, integrations, data readiness and ongoing responsibilities. Implementation and usage or hosting costs are discussed separately rather than hidden behind an invented universal price.

What is agreed before handover?

The scope establishes ownership of code and configuration, whose accounts run the solution, who has access, and who is responsible for running costs, maintenance and support. Documentation, training and any ongoing support are agreed for the engagement; there is no universal arrangement for every project.

Can a project be smaller than the full platform?

Yes. A practical tool-setup and adoption project, website feature, integration or focused internal tool can be scoped on its own. The shared Porthera platform is in development; these services can be delivered independently.

Do we have to replace our existing software?

Not necessarily. We assess what already works and connect appropriate sources or capabilities. A replacement is a separate business decision, not a condition of using AI.

Can data stay in a private environment?

Dedicated hosting and private inference can be assessed where required. The answer depends on the complete data-processing path and the capabilities needed, not just where one application is hosted.

Start with the work you want to improve.

Tell us about the process. Discovery begins with your answers.

Discuss your project