Managed AI and platform operations — US
An AI workflow can change even when its application code does not. A source document is revised, a model version behaves differently or an external tool changes its response. Someone needs to own the resulting effect on the business process.
FI Digital can scope an operating service around the agreed AI applications, integrations and platform components.
The service definition connects monitoring, evaluation, incidents and controlled changes rather than treating post-launch support as an undefined promise.
What the engagement covers
List the systems, responsibilities, service hours and exclusions in the agreement.
Track relevant evaluations, exceptions, usage and operational measures.
Define severity, escalation, fallback and the authority to suspend automation.
Test model, prompt, knowledge and integration changes before release. Retain version and rollback evidence.
FI DIGITAL / WORKFLOW
Managed AI and platform operations
- Coverage and ownership
- Quality and cost monitoring
- Review and authorise
- Change governance
- Resolve with the owner
A practical example
An illustrative assistant begins retrieving an outdated policy after a source change. The operating process should identify the affected behavior, restrict use where necessary and validate the correction before normal service resumes.
Questions that shape the scope
Use these questions to identify the first decision and the information needed to make it.
- What is covered by the service?
- Who can stop the workflow?
- Which changes require regression testing?
- How are model and usage costs reviewed?
Scope the US workflow and its dependencies
Identify the US business process, contracting entity and system owners before using a global template. Multi-state or multi-entity requirements, supported provider accounts and working-hour coverage should be explicit where they affect delivery. The project should have a named acceptance owner and an agreed support arrangement; no local office or round-the-clock coverage is implied.
From assessment to an accepted result
Agree the user, workflow, expected outcome and acceptance owner. Identify the important unknowns early.
Set out records, interfaces, permissions and dependencies. Make failure recovery part of the design.
Review usable work against representative scenarios. Keep decisions and scope changes visible.
Confirm acceptance, rollback, account ownership, documentation and the support arrangement.
Control cost around the work that matters
AI-assisted development, reusable components and supported connectors can reduce parts of the build effort. They do not remove the need to agree requirements, resolve conflicts between systems, review permissions or accept the business result. Keep the first release bounded and compare proposals against the same interfaces, tests, handover and support responsibilities. Ask which recurring provider charges and maintenance tasks remain after launch. Senior coordination is most useful where it resolves a concrete dependency or decision; it should be visible in the scope. The aim is a maintainable working outcome at an understood total cost, not additional complexity for its own sake.
What your team should receive at handover
The handover should cover the working application or integration, relevant source and configuration access, deployment instructions and the accepted test evidence. Document the important dependencies and the actions that require an authorized owner. A useful release record explains what is included, what remains outside scope and how the team can recover from an ordinary failure. These materials support maintainability; they do not replace a separately agreed support arrangement.
Scope and responsibilities
Support hours, response targets, incident ownership and recurring charges require a written agreement. This page does not promise an existing 24-hour service or a universal availability level.
Frequently asked questions
What should be included in a managed AI agreement?
Identify the applications and dependencies covered, service hours, severity definitions, response responsibilities, monitoring, evaluation and change process. Separate third-party outages and business-source ownership from tasks the service team controls. The agreement should also define access, reporting and exit arrangements so operational responsibility remains clear throughout the engagement.
Do model updates happen automatically?
The approach depends on the provider and application, but material behavior changes should be assessed against the agreed evaluation and release process. Record model and configuration versions where possible, review provider changes and test representative workflows. The business owner needs to understand when a change affects quality, cost or permitted actions.
Can the project start with a smaller first release?
Yes, if the first release covers a useful end-to-end workflow rather than disconnected screens. Agree the user, outcome, acceptance checks and operational owner. Keep later features visible without placing them all in the initial scope. The first release should test the important assumptions and leave a maintainable foundation for the next decision.
How are cost and delivery time estimated?
The estimate follows the agreed workflow, interfaces, data, permissions and operating requirements. Discovery should expose uncertain dependencies before they become hidden commitments. Break the work into reviewable milestones and state assumptions, exclusions and third-party costs. A fixed number of weeks or a low starting price is not a reliable substitute for a defined delivery scope.
Can you integrate with our existing systems?
Integration depends on the systems’ available interfaces, access rights, limits and commercial terms. Review the actual records and actions required before choosing a connector or custom interface. Define identifiers, retry behaviour, duplicate prevention and reconciliation. The proposal should distinguish supported actions from capabilities that still require discovery or permission from another system owner.
Who owns the software and accounts?
Ownership, licensing and access should be explicit in the agreement. Distinguish custom code from existing product components, third-party services and open-source dependencies. Agree where repositories, cloud accounts, credentials and documentation will be controlled, and what is handed over. Do not assume that commissioning a project automatically transfers every underlying software right or provider account.
How do you test before launch?
Test the business workflow, user permissions, ordinary failures and recovery, using representative scenarios agreed with the people who will operate the result. Include data quality and integration behaviour where relevant. Record acceptance and unresolved issues before release, with a rollback or fallback appropriate to the change. A demonstration of the happy path is only one part of readiness.
Is ongoing maintenance included?
The proposal should distinguish delivery, warranty or defect correction, and ongoing operational support. Dependencies, usage and business requirements can change after launch, so assign ownership for updates and monitoring. Support hours, response targets and service levels require a specific agreement. They should not be assumed from a general description of development or platform operations services.