AI Integration & Support
Integrate AI capabilities into applications you already use, then define how the connection is tested, monitored and maintained. This service focuses on interfaces and ongoing operations rather than designing a new end-to-end product.
Service scope
Use this service when you already have an application, an AI capability or a pilot that needs to work with business systems. We define the connections and operating responsibilities so the team knows how changes, failures and routine maintenance will be handled.
Review APIs, authentication, data formats and permissions before connecting an AI component to an existing application. Define which information crosses the interface and which system owns the result.
Implement agreed validation, failure responses and retry rules, with access limited to the required functions.
Create representative checks for outputs, tool calls and integration failures. Establish a comparison set so a change to a prompt, model or API can be reviewed before release.
Agree the deployment process and a recovery route when a change causes an unacceptable result.
Define useful alerts, execution records and usage visibility, including who investigates a failed connection. Document credential rotation, routine updates and manual recovery.
Support coverage, response targets and the components included are agreed in writing; continuous coverage is not assumed.
Illustrative project examples. The work included is agreed for your project.
Connect an agreed AI capability to an internal tool with authentication, structured input and response checks. Include clear behaviour when the provider is unavailable.
Review a working prototype’s integrations, add representative release checks and define alerts and support ownership before the team starts depending on it.
What you receive
The written proposal defines the deliverables and acceptance checks for your engagement. A typical implementation includes the following.
Interfaces, data mappings, authentication, permissions and the components included in the engagement.
The agreed adapters or API changes, validation and failure handling, with deployment configuration documented.
Representative integration tests, useful execution records and the agreed monitoring or alert configuration.
Recovery steps, access and credential ownership, and a written support scope with coverage, responsibilities and escalation contacts.
Bring details of the existing application, provider interfaces and the issues you want to address. Access, third-party licences, support coverage and recurring usage costs are confirmed during scoping.
We first review the implementation, access, documentation and operational constraints. Support scope depends on what we can inspect and maintain.
Only as agreed in writing. Response arrangements, supported components and ongoing costs are scoped separately.
No. Integration connects and operates the components. If the process itself needs redesign, we scope that through the workflow automation service.
Related services: AI Workflow Automation Custom AI Agents
Read how we work and about the team. Cloud architecture is a supporting delivery capability.
Tell us about the work, the people involved and the outcome you need. We will agree an appropriate next step.
Discuss your project