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Approach

Measured progress, with a decision point at every phase.

Large organizations need AI programmes they can govern, budget and explain. Our engagement model is built around clear phases, defined deliverables and evidence.

Engagement model

Six phases, each with a defined output.

  1. 01

    Discovery & assessment

    Stakeholder interviews, use-case prioritization, data classification review and a readiness assessment of your infrastructure and security posture.

    DeliverableAssessment report and prioritized roadmap

  2. 02

    Architecture & design

    Reference architecture, model selection, sizing, identity integration and a threat model reviewed with your security and privacy teams.

    DeliverableArchitecture and security design documents

  3. 03

    Build & integrate

    Deployment of the model platform, retrieval pipelines, MCP servers and agents, integrated with your identity provider and systems of record.

    DeliverableWorking system in your environment

  4. 04

    Evaluate & harden

    Task-specific evaluations, red-team testing against prompt injection and data leakage, performance tuning and access-control verification.

    DeliverableEvaluation and test results

  5. 05

    Train & hand over

    Role-based training for staff, administrator training for IT, operational runbooks and acceptable-use guidance.

    DeliverableTrained teams and operating documentation

  6. 06

    Operate & improve

    Optional managed service covering monitoring, patching, model upgrades, backups and periodic re-evaluation.

    DeliverableService reports and upgrade plans

Ways to engage

Start small or go end to end.

Engagements can be structured to fit your procurement process, from a fixed-scope assessment to a multi-year programme.

  • Assessment

    A fixed-scope review of use cases, data, infrastructure and governance readiness, ending in a prioritized roadmap.

  • Pilot

    One use case delivered end to end in your environment, with evaluation results and a go / no-go recommendation.

  • Programme

    Multi-phase delivery of the full platform, integrations, governance and training across departments.

  • Managed service

    Ongoing operation and improvement of the platform under a defined service agreement.

How we work

Commitments we hold ourselves to.

  • Evidence before scale

    We prove value on a defined use case, measured against criteria agreed up front, before recommending wider rollout.

  • The simplest thing that works

    If retrieval solves the problem, we won't sell you fine-tuning. If a script solves it, we won't build an agent.

  • Your security team in the room

    Architecture and threat models are reviewed with your security and privacy functions from the first design session.

  • Knowledge transfer throughout

    Your staff work alongside us during the build, so handover is a formality rather than a cliff edge.

Let’s build
your private AI.

Tell us where you want to go. We’ll work through the possibilities, the practicalities and the right place to start.

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