London AI Automation Agency: Built on 25 Years of Real Delivery

We map the workflow, the people responsible for it and the information they need. That includes the existing systems, manual work, exceptions and decisions that require human judgement.

We assess the opportunity against practical constraints such as data quality, integration access, internal capacity and running costs. The roadmap sets out what to deliver first and what needs to be in place before later phases.

Before building, we agree the scope, baseline and review points. Progress is assessed against the agreed business objective, with changes to requirements or assumptions discussed openly.

We plan how AI, company knowledge and business applications will work together, including the interfaces to your CRM, ERP and other systems. Architecture follows the workflow and the information that needs to move through it.

For Private AI, we assess the model, hosting and access options against your requirements. Permissions, data handling, human approval and exception handling are part of the design, alongside performance and operational costs.

Established platforms can form part of the solution where they fit the requirements. The proposal makes the chosen components, integration dependencies and delivery responsibilities clear.

Testing covers the tasks people will actually perform, including the cases where an AI response needs review or a workflow needs a person to take over. The responsible owners review the agreed acceptance checks before release.

Training uses your processes and explains what the system can do, where its limits are and who is responsible for its outputs. Access, day-to-day administration and escalation routes are documented as part of handover.

We agree the support arrangements and running costs before launch. Review points help your team assess use, resolve problems and decide which improvements are worth making next.