AI operations and engineering
Managed AI Agent Maintenance
Keep the agent useful after launch. Suede AI reviews operational runs, addresses exceptions and updates prompts or routing as the work changes, with an accountable owner and a visible record of revisions.
What your team receives
- Run review and issue logA dated record of observed failures, ambiguous cases, owner decisions and the repair priority.
- Prompt and routing updatesAgreed revisions to the existing agent workflow with checks showing how the affected behavior changed.
- Maintained operating notesCurrent instructions for the agent’s job, exceptions, approval boundaries and the people responsible for them.
A defined scope, an accountable owner and a useful handover.
Review what happened in the actual work
Maintenance starts with the agent’s agreed job and the available run history. We examine failed handoffs, ambiguous decisions and cases that required a person to intervene. Each issue is connected to the relevant input, output and operating rule so it can be investigated.
The business owner helps separate a technical defect from a changed requirement. A new inquiry category may need a routing decision; a failed connection may need a repair. Keeping those causes distinct makes the next action clearer and keeps prompt edits focused on the problem they can address.
Change prompts and routing deliberately
A maintenance change records what is being adjusted and why. That might be an instruction clarified after repeated misunderstandings, an updated destination for a handoff or a revised exception rule. Changes stay within the approved job and permission boundaries.
We check material revisions against representative examples before accepting them. The comparison includes the failure that prompted the change and previously useful behavior worth preserving. The operating record identifies the new version and gives the owner a way to understand what changed.
Keep the operating handoff current
The runbook should match the workflow people are using. It identifies who handles exceptions, how to inspect a run and which actions require approval. When the process changes, its instructions and ownership need to change with it.
Maintenance reviews use the agreed lane measure and a defined observation period. Completed work, unresolved exceptions and manual corrections can help the owner decide what to improve next. A new operational job or substantially expanded permission set becomes a separate scope decision rather than an unnoticed maintenance edit.
How the work is delivered
- Review runs and exceptions Inspect the available operating history with the designated owner and classify issues by cause and priority.
- Tune and verify Make approved prompt, routing or exception changes and evaluate them against relevant examples.
- Update the operating record Document accepted revisions, current ownership and remaining issues so the team can run the workflow confidently.
Example: a changed sales territory
Illustrative example
An existing qualification agent sends a class of inquiries to an outdated owner. The team approves the revised assignment rule. Maintenance updates the route, checks affected and unaffected examples, and records the new owner in the runbook so later exceptions reach the right person.
Questions about Managed AI Agent Maintenance
Who handles exceptions after launch?
The operating scope names a business owner and defines which issues Suede AI reviews or repairs. The runbook gives each exception a destination and explains the next action. Response arrangements and review cadence are agreed for the engagement.
Does maintenance include building new agents?
Maintenance keeps the approved agent job working as requirements change. A new agent or a substantial extension is scoped separately, with its own permissions, evaluation cases and acceptance criteria.
Give the agent a clear operating owner
Bring the current agent scope, run examples and unresolved issues. We will define a maintenance routine around the workflow your team depends on.