
AIUpdated 12 min read
Scoping AI agents for real workflows
Agents fail when the workflow is fuzzy. Scope tools, allowed actions, escalation, and owners before you buy a demo.
AI agentsworkflowscopinghandoffAlbuquerque
Reckap Team
Workflow first, model second
Start with the job: intake, triage, draft, escalate. Write the happy path and the three failure paths. Only then pick models and tools. Agents that skip this step look smart in demos and stall in production.
Allowlisted actions
Enumerate tools the agent can call, data it can read, and writes that require human approval. If the allowlist does not fit on one page, the scope is not ready.
Escalation with context
When confidence drops or risk rises, a person must receive the transcript, customer metadata, and a short issue summary. Restarting the conversation from zero is a failed agent design.
Where Reckap fits
See agents with the same handoff standard we use across IT, AI, and ops work.
- Write the decision and success metric
- Scope systems, owners, and allowlists
- Deliver QA evidence and runbooks
- Name the day-two support window
See the service page for scope examples, then book a call if the fit is clear.
View related servicesFAQ
- Do we need a custom agent or a SaaS bot?
- If the workflow depends on your systems of record and custom permissions, you usually need scoped integration - not only a SaaS seat. See also our note on LLMs in your stack vs SaaS seats.
- How long should a pilot be?
- Long enough to hit real volume and failure cases, short enough that nobody confuses a demo with production. Two to six weeks is common when the workflow is already written.
