Context from your real data
Agents pull from CRM records, email threads, spreadsheets, and billing — not generic prompts. They know which client, which case, which deadline before acting.
Service
Agents that execute across your systems
Not chatbots for the sake of it — agents that read context, take action in the tools you already use, and leave an auditable trail of every step.
Orchestration · NLP · Multi-agent
What we build
Orchestration with guardrails
We design agent ecosystems around one concrete process first: a supervisor that decides what happens next, and specialized agents that execute each task with clear permissions.
Actions, not just answers
Update a status, draft a follow-up, route a request, trigger an invoice. The agent writes where your team would write, with rules you define upfront.
Supervised and auditable
Every action is logged. Sensitive steps can require human approval. You always know who did what and when — including the agent.
What you get
- Process map and agent architecture for one workflow
- Supervisor + operational agents connected to your stack
- Permission model and audit log for every action
- Documentation and handoff session for your team
Ideal when
A process depends on someone checking three systems, copying data, and sending follow-ups — and that person is the bottleneck.
First agent running on one process: typically 4–6 weeks.
Next step
Which process should an agent own first?
Tell us the workflow nobody wants to inherit. We'll tell you if an agent is the right fit — or if something simpler works better.