01 / OBSERVE
Give it the right context
Relevant records, documents and state are retrieved without exposing everything.
Core service · agentic workflows
Agents that can actually do something.
Most businesses do not need another chatbot. They need a bounded system that can understand a request, use the right tools, show its work and escalate when the decision is not safe to automate.
Agent design
Capability with boundaries.
An agent is useful when the work contains context, research or choices. It is dangerous when permissions and failure modes are vague. We define the job, tools, data access, approvals, evaluation cases and stop conditions before expanding autonomy.
Agent patterns
- Research and competitive intelligence agents
- Procurement and supplier discovery agents
- Support triage and resolution assistants
- CRM and sales operations agents
- Internal knowledge and decision support agents
What ships
A practical agent system includes prompts or policies, tool interfaces, structured outputs, logging, retries, evaluation examples, human review and a clear owner.
Architecture
Autonomy is earned one reliable action at a time.
02 / DECIDE
Constrain the choice
Tools and outputs are structured so the system can be evaluated instead of merely admired.
03 / ACT
Make the action reversible
Approvals, audit trails and escalation keep people in control of consequential steps.