Agentic AI & MCP Servers
Production-grade agentic AI with Model Context Protocol (MCP) integration. Tool use, multi-step reasoning, and grounded action — auditable end to end.
What it is
Agentic AI is AI that acts — not just answers. Multi-step workflows where the model selects and invokes tools, reasons about outputs, and takes deliberate action in your systems. MCP (Model Context Protocol) is the emerging open standard for connecting agents to tools and data; we ship MCP-aligned integrations from day one.
When you'd use it
- SOC alert triage and enrichment with tool-mediated investigation
- Compliance and AML investigation copilots that pull case context automatically
- Agentic commerce for multi-turn shopping and checkout
- Legal and contract workflows that operate across DMS, matter system, and email
Technical depth
- Function calling and tool-use orchestration with full audit traces
- MCP server implementations for customer-specific systems
- Step-level evaluation: per-tool-call correctness, end-to-end task success
- Guardrails on agent action authority and rollback procedures
- Observability: trace visualization for every agent run
Why this matters
Most production AI failures in 2026 come from poorly-grounded agentic systems. The architectural discipline — eval-first design, clear tool boundaries, audit logging — is what separates a demo from a system you can put in front of regulated customers.
Where it ships.
Get started
Ready to ship this inside your environment?
Bring your use case to a 30-minute discovery call. We'll tell you whether this technology fits and how it gets deployed.