AI Agents
Autonomous agents that earn their access.
We design, build, and operate AI agents that work inside your systems — grounded in your knowledge, bounded by your rules, and measured against a real test set.
Agent types
Purpose-built for specific workflows.
Narrow ownership of a high-frequency workflow beats a general assistant that nobody trusts.
Knowledge Agents
Retrieval-grounded answers over policies, contracts, and technical documentation with citations on every response.
Operations Agents
Tool-using agents that triage tickets, reconcile records, and execute routine transactions in your systems.
Intake Agents
Structured capture from email, forms, and documents with confidence scoring and human review on exceptions.
Analyst Agents
Query, summarize, and monitor operational data, surfacing anomalies to the right owner automatically.
Service Agents
Customer and employee-facing assistants with escalation paths, tone control, and full transcript auditing.
Compliance Agents
Continuous review of documents and communications against policy, with evidence trails for auditors.
How we build
Engineering discipline behind every deployment.
- Grounded retrieval with explicit source boundaries and citation enforcement
- Least-privilege tool permissions and scoped service accounts
- Evaluation harness built from real traffic and reviewed by the business owner
- Guardrails for prompt injection, data exfiltration, and unsafe actions
- Full action logging: inputs, retrieved context, tool calls, latency, and cost
- Human-in-the-loop review paths for low-confidence outcomes
- Model portability so you are never locked to a single provider
Get started
Have a workflow that is ready for an agent?
Bring us the process. We will tell you honestly whether an agent is the right answer — and what it would take to run it in production.