Start where the work is
We begin with the workflows your team already runs — the queue, the review, the follow-up — and identify the ones an agent can genuinely own, not just assist with.
draugur.ai consulting
draugur.ai
draugur.ai consulting
draugur.ai
We help organizations put agents to work inside their teams — not as a chat window on the side, but as participants in the everyday flow of work.
Our mission
Most teams that adopt AI get a faster way to draft things. The work itself — tracking, deciding, following through — still runs entirely on people.
Agentifying a team means going further: giving agents real work to own, inside the tools the team already uses, with the guardrails that make that safe. Done well, the team's throughput stops being bounded by the hours its people can spend on the mechanical parts of the job.
We practice this on ourselves. The platform behind draugur.ai is built and operated day-to-day by agents working a ticket queue, opening pull requests, and deploying through the same pipeline a human would use — and we write about it as we go.
How we work
We begin with the workflows your team already runs — the queue, the review, the follow-up — and identify the ones an agent can genuinely own, not just assist with.
Agents need what people need: a work queue, memory, access to the right tools, and clear boundaries on what they may touch. We put that substrate in place inside your stack, with authorization and review built in from the start.
An agent that only works in a demo doesn't count. We drive each workflow to the point where the agent's output ships through your normal review and deployment process — and leave your team able to extend it without us.
In practice
The engineering behind our own agent-run platform — the serving stack, the agent harness, the guardrails, and what we got wrong along the way — is documented publicly on our blog, as it is built.
Contact
Tell us about your team and what you want it to hand off: draugurai@gmail.com.