AI agents built for real business workflows

Generic chatbots rarely fit operational reality. Teams need agents that understand context, call the right systems, and stay within clear boundaries.

• Agents that cannot act on business systems
• Unclear handoff between automation and people
• Missing audit trails and review steps
• Promising demos without production controls

We build agents around tasks, tools and governance, not open-ended conversation alone.

• Workflow-oriented agent design
• Tool use and system integrations
• Human-in-the-loop review patterns
• Guardrails, logging and evaluation
• Companion experiences for operators

Legal and document assistance, clinical evidence workflows, internal operations copilots, and customer or partner support agents with controlled actions.

We define the job to be done, the tools the agent may use, and the points where a person must approve or intervene. That keeps the agent useful without pretending it can safely do everything unsupervised.