We put AI agents
into production.
We find the manual work in your business, build the AI agents that clear it, and run them safely in production, then hand them to your team.
Most AI projects die between the demo and production.
A demo works once. Production has to hold on your real data, inside your rules, every time. We build for production from the first step, then hand it to your team.
Agentic AI adoption
We find your highest-toil processes, build the agentic workflows that clear them, and run those agents in production with guardrails and human-in-the-loop control. App development where the agents need it, never as busywork.
Cloud foundations
We lay the cloud foundations your AI program runs on: an opinionated AI landing zone with governance and monitoring from day one, built on Amazon Bedrock or Azure AI Foundry, so your teams own and run their AI at scale.
Observability, built in
We monitor, evaluate, and cost-govern the agents we build. Observe your agents in production the way you would observe any system that matters. Datadog-certified.
The agents are the work. The cloud foundations and observability underneath are what keep them running in production, not just in a demo.
The method is fixed.
The problem is yours.
We don’t reshape your business to fit a tool. We point one proven path at the process costing you the most.
Find the toil
We inventory the manual, repetitive, high-volume work across your teams.
Rank it
By value, feasibility, and risk. We pick the first workflow to build.
Guardrail first
We design the human-in-the-loop points, permissions, and eval criteria before a line of build.
Build to production
The workflow and its orchestration, on your real data, not a sandbox.
Observe, then hand off
Monitored, measured, and yours to run.
Where to start
Most engagements begin small and prove the approach before they scale. Each one leaves you with a decision or a working system, not a report.
Agentic Readiness Assessment
2 to 3 weeksA ranked shortlist of your automatable processes, each with an ROI estimate and a risk grade, plus the one workflow to build first. Not a slide deck. A decision.
Workflow Pilot
4 to 8 weeksOne process taken from manual to a production agent: guardrails, human-in-the-loop, evals, monitoring. You watch it work on your real data, not a demo.
Command Center
Ongoing programScale from one workflow to many: an orchestration layer, agent observability, and a safety framework, so your automated work runs in one place you can see and control.
Datadog Practice
Audit to retainerImplementation, cost governance, and the observability that proves agents behave in production. Certified. Standalone, or built into an agentic rollout.
A program, not a pilot.
For leaders taking an established enterprise to agentic AI, the technology is rarely the hard part. Making the change stick is. We build the program that does it: the standards your teams follow, the workflows they run, and the people to own it. Then we hand you the keys.
How we work
We don’t talk about what could be done. We show how it should be done.
Opinions, not options. We install one right way, not a menu you have to referee.
We build it, run it, then hand you the keys. Embedded, then gone by design.
Staffed by people who have built durable solutions for banks, startups, and oil and gas. No offshore bench, no junior padding.
Guardrails before we build. We design the limits and the human checks before the first agent runs.
Production, or it doesn’t count. An agent that works on your real data beats a demo every time.
Common questions
How do you keep agents from going wrong in production?
Guardrails come before the build, not after. We design the permissions, the human-in-the-loop checkpoints, and the evaluation criteria first, then we run the agent against your real cases and monitor it the way we’d monitor any system that matters. If we can’t measure that it behaves, it doesn’t ship.
How is this different from staff augmentation?
Staff augmentation rents you a pair of hands that take direction and bill by the hour. We bring a method and a point of view: we decide how it should be built, build it to production, and leave you owning a working system instead of a dependency on us.
We’ve done AI pilots that went nowhere. Why is this different?
Most pilots prove an agent can work once, in a demo. We build for production from the first step: real data, guardrails, and monitoring, with success criteria agreed before we start. A pilot with us is a production system in miniature, not a science project.
What happens when the engagement ends?
That is the goal from day one. We document how it works, train your team, and transfer ownership so the agents keep running without us. If you would rather we stay to operate them, we can, but that is your choice.
Can you just help with Datadog?
Yes. Datadog implementation, cost governance, and optimization is a standalone practice for us. We are Datadog-certified, and it is often where an engagement starts before any agentic work.
Do you work with our existing team and tools?
Almost always. We build on what you already have and level it up. The method is fixed, but the problem is yours: we start from your reality, not a blank slate.