An AI agent with bounded authority
We define the agent role, available sources and allowed actions: retrieval, drafting, preparation or a tool call. Risk-bearing operations require human approval and are recorded in an audit trail.
Quality is evaluated on realistic scenarios including missing data, conflicting instructions and external-service failures. Metrics cover correctness, escalation rate, cost and execution time.
Delivery for this capability
Agents for sales, procurement, support and documents integrated with business systems. The working deliverable includes an agreed data model, required interfaces and integrations, access roles, administration workflows, verification of critical operations and operating guidance for the team supporting the solution.
Release and evolution
We test primary and exception paths, prepare migration and observability, and release in a controlled manner. After launch, real support evidence informs the next product priorities.
What to prepare before we start
To assess “Custom AI Agent Development”, share the objective, current workflow, participants, data sources, required integrations and expected timing. Existing diagrams, API documentation or specifications can be attached to the enquiry. The first discussion separates launch-critical scope from later improvements and establishes how the result will be verified.