Services

AI programme support
for organisations.

Engineering, architecture and delivery support for AI projects. From reviewing a proposed system to building and integrating it.

Discuss a project

What we do

AI engineering & integration

Design and build AI applications, connect them to organisational data and systems, and test how they behave in practice.

Architecture & governance

Vendor evaluation, architecture review and the security implications of AI adoption. Define the approval process and controls alongside the technical design.

Programme delivery & advisory

Embedded support within your AI programme. From technical assessment and roadmapping to team enablement and delivery oversight.

Selected projects.

Examples from direct engagements.

Insurance broker

Evidence retrieval for an insurance broker

Headcount
Approx. 200
Operations
UK
Engagement
Prototype & evaluation
The brief
Help a broking team use evidence from client interviews, with each answer traceable to its source.
Our work
Built and evaluated a prototype that extracts evidence from interview transcripts and makes it searchable through an AI agent. Answers link back to source passages, while missing, qualified and contradictory evidence remains visible to the analyst.

Engineering consultancy

Independent review of an AI application platform

Headcount
Approx. 20,000
Operations
Global
Engagement
Architecture & security review
The brief
Assess a reusable platform for deploying internal AI-enabled applications before those applications go live.
Our work
Reviewing the architecture with the engineering and security teams, covering identity, data access, deployment boundaries and agent connectivity. The review examines which controls the platform enforces and what individual application teams need to address.

International Banking Organisation

AI project triage and agent controls

Headcount
Approx. 3,500
Operations
Europe, Asia & Africa
Engagement
Governance design
The brief
Define how an AI centre of excellence assesses new projects and AI features introduced by existing software vendors.
Our work
Developed a tiering framework, a vendor-feature triage process and draft security requirements for agent connectivity. The design links the level of review to a system’s data access and autonomy, with a route to reuse approved architecture patterns.

Investment management firm

Selecting controls for AI deployments

Headcount
Approx. 1,000
Operations
Global
Engagement
Governance review & control framework
The brief
Connect an organisation’s AI policies and control catalogue to the decisions teams need to make for individual projects.
Our work
Reviewed the governance documents and developed a project triage process and control-selection workbook. The workbook maps data sensitivity, autonomy, connected systems and architecture to an applicable control set, with the reason for each selection.
Read our case studies

Let’s talk.

Tell us what you’re working on and where you need support.

Discuss your AI project