AI agents & integration

AI systems that can act—and show their work.

We build grounded assistants and agent workflows with explicit permissions, traceable tool use, evaluations, human checkpoints, and provider-independent architecture.

Discuss this work

What good looks like

Useful outcomes, explicit controls.

Use cases selected by measurable operational value

Guardrails and evaluations designed before broad release

Models, context, tools, and product logic kept replaceable

Capabilities

01

Knowledge agents

Secure retrieval and answers grounded in approved organizational information.

02

Action agents

Permissioned workflows that can update systems, prepare work, and escalate exceptions.

03

AI control layers

Orchestration, model routing, cost controls, evaluation suites, traces, and fallback behavior.

Delivery model

Start with the riskiest assumption—not the longest feature list.

We frame the problem, prove the critical path, ship in observable increments, and leave the system ready to be operated and inherited.

How we deliver

Start a conversation

Bring us the difficult part.

Tell us what should move faster, what needs to become reliable, and where the project stands today. We’ll respond with useful next questions—not a generic sales sequence.

What kind of work is this?

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