01Agentic AI and automation
AI that does the work, not just the talking.
Agents that plan, use your tools and complete multi-step work inside real processes, with every limit and approval point set explicitly.
- Agentic workflows across systems: onboarding, claims, procurement, service and operations.
- Tool use through the Model Context Protocol and your own APIs, under least-privilege access.
- Orchestration of several agents, with a person approving each consequential step.
- Agent evaluation measured as a business would: tasks completed, errors caught, cost per finished task.
- Agent orchestration
- Model Context Protocol
- Tool calling
- Reasoning models
- Human in the loop
- Agent evaluation
- Tracing and observability


