The Integration Risk Assessment

IT's concern that the AI tool will break something is not irrational. Integration failures in enterprise AI are common, and the failure modes are specific: the AI tool consumes APIs beyond their rate limits and disrupts dependent systems; the AI's data ingestion pipeline creates database load that affects production performance; the AI tool's authentication requirements conflict with existing SSO configuration; the AI's output format does not match the downstream system that consumes it.

The integration risk assessment documents the integration architecture, tests in isolation, and presents a rollback plan. The rollback plan is — counterintuitively — the most effective tool for reducing IT resistance to new system integration. An IT team that has a credible rollback plan is an IT team that has an exit if the integration fails. That reduces the cost of approval and reduces the resistance to it.

1. Document the integration architecture Produce a diagram of every system-to-system connection the AI initiative creates: data sources feeding the AI, systems consuming the AI's output, authentication flows, network paths, API dependencies. This diagram is the foundation of the integration risk assessment and the primary tool for IT to identify risks. An integration that has been mapped is an integration that can be reviewed. An integration that exists in the change team's heads is an integration that IT cannot evaluate and therefore cannot approve.
2. Test in isolation before the production review Run the integration in a non-production environment with realistic but non-sensitive data before requesting IT review of the production deployment. Document what you tested, what worked, and what required adjustment. The IT team that reviews an integration with documented test results is reviewing an integration that has been validated. The IT team that reviews an integration with no test history is being asked to approve an untested system.
3. Present the rollback plan before being asked The rollback plan documents what happens if the integration fails: how the organization returns to the pre-AI workflow, what the rollback trigger criteria are (what counts as a failure that activates rollback), who has authority to invoke the rollback, and what the rollback timeline is. Present this plan before IT asks for it. IT asking for a rollback plan and receiving one is adequate. IT asking for a rollback plan and watching the change team develop one in response is a red flag that activates additional scrutiny.