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Cognitecta

03 / Consulting

Work out what to build — and how to build it properly.

Cognitecta works with organisations before they build. The objective is to identify where AI is genuinely useful rather than applying it indiscriminately.

  1. 01

    AI strategy

    Where AI belongs in the organisation, and where it does not.

  2. 02

    Discovery workshops

    Opportunity and constraint, in the same room as the people who will have to live with the outcome.

  3. 03

    Technical architecture

    System shape: data, models, interfaces, ownership and failure modes.

  4. 04

    AI readiness

    Whether the organisation, the data and the engineering practice can actually support the work.

  5. 05

    Solution design

    A design that can be built — not a slide that cannot.

  6. 06

    Model selection

    LLM and model choices against the actual constraints: cost, latency, control, data.

  7. 07

    RAG architecture

    Retrieval that is honest about what the corpus is, and what the system should refuse.

  8. 08

    Agentic system design

    Agents as software: tools, boundaries, evaluation, and the places they should not act.

  9. 09

    Security and production

    The considerations that decide whether a prototype can leave the lab.

  10. 10

    Proof-of-concept planning

    A bounded experiment with a pass/fail that the organisation will actually accept.

Strategy, discovery and architecture from people who understand the underlying technology — and who will still be in the room if the organisation decides to build. Talk to us.