Draw the system boundary
Decide what the AI component receives, what it can return and which system owns the final action. A model may propose a category or produce a draft. Your application should still enforce authentication, authorisation and business rules. Do not allow generated text to become a shortcut around those controls.
Keep provider credentials on the server, not in browser JavaScript or a downloadable configuration file. Use separate credentials and environments for development and production. Record which service account owns each connection so access can be rotated or revoked without depending on an individual employee’s personal account.
Choose a deployment route
Hosted model APIs, such as those documented by OpenAI and Anthropic, provide an application interface without requiring you to operate the model infrastructure. Assess the relevant service terms, processing locations, retention options, limits and support arrangements before selecting an endpoint.
Self-hosting an open-weight model offers a different set of controls and responsibilities. You need to assess the model licence, infrastructure, serving software, updates and operational capacity. Open weights do not automatically mean unrestricted use or a complete open-source system. Neither deployment route removes the need to evaluate outputs against your own task.
Validate structure and meaning
Structured output can make a response easier to integrate by constraining its shape. A JSON object with the expected keys is more manageable than free-form prose when an application needs defined fields. Validate the result against a schema before another component uses it.
Valid structure does not establish factual correctness. A correctly formatted product identifier may not exist. A date can be syntactically valid but inconsistent with the source. Check values against authorised records and reject unsupported actions. Treat tool calls as requests for the application to assess, not as instructions it must execute.
Design for delays and interruption
Choose between a synchronous request and a background job based on how the feature is used. An interactive drafting tool may need an immediate response. A document-processing queue may work better asynchronously, with an explicit status and a way to resume or cancel work.
Set timeouts, bounded retries and clear failure messages. A fallback should not silently swap to a weaker model or a different data-processing location if that changes the agreed controls. Preserve enough state to diagnose a problem without logging every sensitive input. For actions that write data, protect against duplicate execution when requests are retried.
Observe the service without collecting everything
Operational records can track request identifiers, processing time, failures, model configuration and usage. Content logging needs a separate decision. Prompts and responses may contain personal data, customer information or commercial secrets. Redact where practical and restrict access to logs as carefully as access to the main application.
Track performance against a maintained evaluation set before releasing changes. Keep prompt templates and model settings under version control alongside the integration code. Provider changes, revised tools and new source data can affect behaviour even when the user interface looks the same. Provide a rollback or disable route for the AI feature.
Define the handover, not just the build
A scoped integration engagement can include an architecture outline, API adapter, validation layer, deployment instructions and operating guidance. Agree which components are included and who runs them. Clarify ownership of cloud accounts, application code, model contracts, alerting and ongoing maintenance in the written scope.
Use a provider abstraction where it genuinely reduces coupling, but do not pretend all model APIs behave identically. Tool formats, error handling and output controls differ. Keep these differences visible in tests. Combine integration work with governance controls and a focused pilot decision so technical flexibility serves a defined business purpose.