AI in production

Agentic AI that holds up under enterprise scrutiny.

There’s an AI demo for everything right now. What enterprises actually need is the boring part — agents grounded in your data, wired into the systems of record, with human-in-the-loop checkpoints, audit logs, and a workflow engine governing what they’re allowed to touch. We build that on OODA. The agents that hit production are the ones that pass the same controls as any other piece of enterprise software.

What we deliver

What we deliver

  • Multi-agent orchestration (planning, tool-use, memory)
  • MCP (Model Context Protocol) integrations
  • RAG with grounded citations and lineage
  • LLM observability and evaluation harnesses
  • Human-in-the-loop and approval workflows
  • Agent governance, guardrails, and audit trail
Stack we deploy

Tools and infrastructure we ship on.

Partner platforms
  • MCP
Built on engineo
  • OODA
  • Smelter
Grounded
Citations on every AI output
Governed
Audit trail + human approvals
Production
Real workflows, not demos
How we engage

Agentic AI that survives compliance review.

Most AI pilots stall because enterprise governance was an afterthought. We engineer for governance first.

  1. 01

    Use-case scoping

    Sit with the operating team and find the workflows where AI actually changes the unit economics. Document the inputs, the decisions, and the human checkpoints upfront.

  2. 02

    Grounding & evals

    Build the retrieval layer on customer data, with citations on every output. Set up the eval harness — accuracy, hallucination rate, latency — before anything ships to production.

  3. 03

    Production rollout

    Deploy agents on OODA with human-in-the-loop approvals, exception routing, and full audit trail. Real traffic on a controlled scope, expanded as confidence builds.

  4. 04

    Governance loop

    Continuous evaluation, prompt regression tests, and a governance dashboard that the compliance and risk teams trust. Models update without breaking the runbook.

Sector scenarios

Agents we've shipped or are actively shipping.

Production workflows where AI agents take real action.

Finance ops triage

Agent that triages incoming invoices, GRNs, and exceptions — routing the clean cases through automated approval and the edge cases to humans with full context.

Exception backlog cleared continuously.
Supplier research

Agent that runs new-supplier due diligence — sanctions lists, financial filings, news monitoring — and presents a structured risk dossier for the procurement team.

Days of research compressed into minutes.
Audit preparation

Agent that gathers, structures, and validates evidence for statutory audits, pre-populating workpapers and surfacing exceptions for the audit team.

Audit prep timeline cut materially.
Start a conversation

Bring us your hardest build.

30-minute discovery call. No decks, no boilerplate — senior engineers in the room, the same ones who'd own delivery.