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Custom AI Solutions

AI shaped around your work, governed from the first line of code.

Private AI tools that learn from your documents and processes, run on your terms and pass your compliance review on day one.

The service

Private AI tools built on your own knowledge

Custom AI Solutions are private tools we design around the documents, processes and people that keep your organisation running. A legal team gets an assistant that answers from its own precedents, a registry gets a tool that reads and sorts thousands of forms, and a research office gets search that understands its archive.

Every build carries governance from the start, with access controls, audit logs and data residency settled before the first prompt is typed, because a tool your compliance team cannot approve is a tool nobody will use.

Our builds

Four kinds of tool, one standard of care

01 · Knowledge assistants

Answers from your own sources

Chat assistants that draw only on approved documents and cite where every answer came from.

02 · Document intelligence

Read, sort and summarise at scale

Tools that extract, classify and summarise forms, contracts or reports, with a person checking the edge cases.

03 · Workflow automation

Fewer hours on repeat tasks

AI steps placed inside existing workflows, such as drafting replies, triaging requests or preparing reports.

04 · System integration

Connected to what you already run

Secure links to your document stores, learning platforms and case systems, so nothing lives in a silo.

Built in by default

Controls your auditors will ask about

Each tool ships with the safeguards a regulator, client or internal auditor expects to see.

  • Role-based access and single sign-on
  • Audit logs of prompts, sources and outputs
  • Data residency agreed in writing
  • No training of public models on your data
  • Human review for high-impact outputs
  • Documentation mapped to ISO/IEC 42001
How we work

From first call to live tool

  1. 01

    Scope

    We define the problem, the users, the data and the risks in a short discovery sprint.

  2. 02

    Design

    We agree the architecture, controls and success measures before any build begins.

  3. 03

    Build and test

    We develop in short cycles and test accuracy, safety and access with your team.

  4. 04

    Launch and support

    We train users, hand over documentation and stay on hand to monitor and improve.

Have a process AI could carry?

Describe the task and we will tell you honestly whether a custom tool is worth building.

Discuss a build