GenAI & Agents

Generative AI and agents built on your data, with controls.

Assistants, copilots, and autonomous agents connected to your systems, tested before launch, and limited to what they are allowed to do.

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The problem

A demo takes an afternoon. A production system takes a year. Assistants make things up because they are disconnected from the systems of record. Agents get permissions no employee would be given. Quality is judged by anecdote. Costs are unpredictable. Security teams are asked to approve systems they cannot inspect.

What we do

We connect generative AI to your governed data with retrieval that respects access controls. We build evaluation tests before launch and run them after every change. We limit what each agent can see and do. Every deployment has an owner, a budget, and an off switch.

What we deliver

What you get.

The outcome

Generative AI that uses your data, stays within its permissions, and can be audited.

  • LLM applications: assistants, copilots, and knowledge systems
  • Retrieval-augmented generation on governed enterprise data
  • Agentic workflows and multi-agent systems with limited permissions
  • Evaluation, red-teaming, and quality measurement
  • Model selection, cost management, and vendor strategy
When to call us

Signs this is the right service.

  • You have a promising demo and no clear route to production.
  • An assistant gives confident answers that are wrong or not in your documents.
  • Security is being asked to approve an AI system they cannot inspect.
  • Teams are building agents that can act in your systems, and no one has set their limits.
Accelerators

What we bring to this work.

Templates, code, tests, and documents we adapt to your data and systems, so the work starts on your problem. What we adapt for you is yours to keep.

GenAI Evaluation Tests

Tests that measure assistant and agent quality before and after launch.

  • A reference test set built with your subject-matter experts
  • Scoring for accuracy, source use, refusals, and safety
  • Red-team and prompt-injection tests
  • Automated test runs in your delivery pipeline, with cost tracking
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Secure RAG Starter

Connect generative AI to your documents and keep existing access rules.

  • Ingestion and indexing that keep source permissions
  • Answers with citations to the source documents
  • Request logging, usage limits, and cost controls
  • Connectors for common document and collaboration platforms
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AI Agent Controls

Scope, permissions, logging, and approvals for AI agents.

  • Scope and permission templates for each agent
  • Action logging and audit trail
  • Human approval steps for high-impact actions
  • Switch-off procedure, spending limits, and escalation runbook
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How it starts

The first step.

Before building anything else, we write a test set from your own content with your subject-matter experts. Then we connect the assistant or agent to your data with your access rules intact, set its permissions and approvals, and release it when it passes the tests.

Every engagement runs on GIST: Ground, Iterate, Ship, Trust.

How we work

See what the first step would be.

Tell us the business decision you want to improve. We will tell you what the first step would be and whether we are the right fit.

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