Agent workflow design
Define the task boundary, tools, decisions, state, stop conditions and responsible human owner.
An AI agent becomes useful when it can complete a bounded task through approved tools without losing accountability. Juan Infotech designs agent workflows around explicit permissions, structured actions, reliable context, human approval and a visible record of what the system attempted.
This service suits organisations that want an assistant to do more than produce text—for example, prepare a case, retrieve an account record, draft an update, schedule an approved action or coordinate a multi-step internal workflow.
The exact scope is agreed after discovery, with dependencies and responsibilities made visible before implementation.
Define the task boundary, tools, decisions, state, stop conditions and responsible human owner.
Connect only the approved application functions and information required for the workflow.
Apply role-aware access, confirmation points, limits and escalation paths before consequential actions.
Test representative tasks, failures and misuse cases while recording useful traces for review.
Each phase produces something reviewable before the next commitment is made.
Choose a narrow task and state what the agent may and may not do.
Expose approved tools and context through controlled interfaces.
Test successful, ambiguous, denied and unsuccessful paths.
Introduce the workflow gradually with monitoring and accountable ownership.
Only where the risk and agreed control model support it. Important financial, customer, legal or operational actions should normally require explicit confirmation or deterministic validation.
Yes, where the software provides suitable authorised APIs or carefully designed application services.
We constrain tools, validate inputs, use least-privilege access, define approval points and test adversarial and failure scenarios before release.