Start with the work your team needs to do

An AI project might help staff complete reports, find information across internal documents, or manage incoming enquiries.

We start by understanding the workflow, the people using it, and the systems already in place. From there, we work out where AI can help and what needs to be built or configured.

The scope, responsibilities and success measures are agreed before delivery begins.

What this looks like in practice

In final testing

Supporting incident reporting for a provider with around 165 employees

Frontline staff needed help capturing complete, consistent incident reports without adding to their paperwork burden.

We worked alongside the provider’s technical lead to develop AI assistance within its existing reporting process. The solution is designed to prompt staff for missing information and support clearer reporting, while keeping decisions and final responsibility with the provider.

The project is in final testing before handover.

Governance engagement

Building the foundations for a provider with around 400 employees

For another provider, the work focused on an organisation-wide AI governance framework: establishing responsibilities, decision processes and practical guidance for AI use.

This was a governance engagement. It illustrates the organisational foundations that can support future implementation.

How we work with you

Understand your starting point

We begin with a conversation about the problem you want to solve. Before detailed discussions about internal systems and data, we put confidentiality arrangements in place.

Your team completes a structured intake covering workflows, technology, risks and priorities. The AI Safe & Ready Index also helps establish a baseline.

Agree the project

We review the information, develop a proposal and discuss it with your key contact. Together, we refine the scope so everyone understands what will be delivered.

The agreed Statement of Work sets out deliverables, responsibilities, timing, costs and approval points.

Design and build

CGAI manages the engagement, working with technical specialists and your nominated internal leads.

Governance, human oversight and operational requirements are considered alongside the technical work. Progress reviews give your team opportunities to validate the approach and make decisions.

Test and introduce the solution

For projects involving a live system, we plan testing and rollout around the agreed scope. Validation and client sign-off guide the move into use.

Changes beyond the agreed scope are assessed and approved before additional work proceeds.

Support and hand over

An agreed period of implementation support gives your team access to help resolving bugs. Its duration depends on the project.

We then hand over according to the agreed arrangements. Ongoing maintenance can be provided through a separate paid engagement, and further changes can be scoped as a new project.

Questions before you start

Do we need to complete a governance engagement first?

You can engage us directly for an implementation project. We assess your starting point and identify the governance arrangements needed for the proposed work.

Can you work with our existing technical team?

Yes. We work with your nominated technical and operational leads, with responsibilities agreed as part of the project.

How much does a project cost?

Pricing is tailored to the scope, complexity and delivery requirements. We agree the commercial terms in the proposal and Statement of Work.

Is ongoing maintenance included?

Implementation includes an agreed period of support to resolve bugs. Ongoing maintenance is separately agreed and paid for.

Put AI to work on a real problem.