Direction / AI assistants and agents
AI quality control
Guardrails, evaluation sets, audit logs, and approval for critical steps.
Business outcomes
The assistant knows the user role and task context
Critical actions require approval
Every result and tool call is logged
Quality is measured on real team scenarios
How we launch
- 01
We select the role and decisions to accelerate
- 02
We connect approved data and tools
- 03
We test against real scenarios and failure modes
- 04
We launch with monitoring and approval controls
Common questions
How is an agent different from a chatbot?
A chatbot mainly answers. An agent can use tools and perform approved actions while keeping an audit log and requesting confirmation when needed.
Can data access be restricted?
Yes. Access is controlled by role, source, and action. The assistant never grants more rights than the user has in the source system.
How is answer quality evaluated?
We build a real-task evaluation set and measure accuracy, completeness, action correctness, and the share of cases requiring human intervention.