The agent's job description
The recurring work, written as a runbook with one owned outcome.
AI colleagues in real roles: a job description, a human owner, work they are measured on. Not another tool. One role at a time.
AI tools made individual tasks faster. The process stayed slow, because work still moves from desk to desk and the context gets rebuilt at every handover. Give an agent one defined job, and the context moves with it.
"We have 30 people doing the work of 70. We can't hire. Could agents go in the org chart?"
15 years of enterprise work with 50+ clients, among them Bosch, Siemens, MANN+HUMMEL, Voith, Henkel, Zeiss, Stöckli, EnBW and TÜV SÜD.
The first agents are in production or in setup with several of these clients. Named results follow as each client signs them off.
Two steps, each at a fixed price. You approve the second before we build.
We built our first agents on our own work, and shut some down. The method comes from both.
A real client output, anonymised: one customer-support role. Every responsibility comes back marked agent, together or human, so you see what an agent can own and what stays with people.
What comes back
The recurring work, written as a runbook with one owned outcome.
What the role owns once the recurring work leaves it.
First roles we see again and again
from a support JD
Owns
First-response time
Reads every inbound ticket, routes it and drafts the first reply for a human to send.
from a sales JD
Owns
Prep time per call
Builds the brief before every customer call, from history to open items.
from a marketing JD
Owns
Review turnaround
Checks every draft against style, claims and legal rules before it goes out.
from a finance JD
Owns
Days overdue
Watches open invoices and drafts each reminder at the right moment.
The second job description matters more. It shows what the person owns once the recurring work leaves the role.
From our role analysis, reviewed by our team before anything is returned.
Autonomy is earned in steps and the audit trail never goes away. Roughly one in five agents we build is stopped or redesigned before it reaches production. We would rather stop the wrong job early than automate it well.
The agent didn't break the process. It exposed it.
A job with no definition of done can't be owned.
The most common failure, and it's not technical.
No feedback loop, no colleague. Just a tool.
The process was already broken. Now it's visible.
We don't build a better agent for a bad job.
Promised, kept, and reviewed on a schedule.
Useful is fine. Not everything becomes a colleague.
Two fixed-price steps: a half-day role-shaping workshop, then one agent built and coached for six weeks. You approve the second fixed price before the build starts, so there is no open-ended programme.
One accountable owner per agent, a few hours a week during onboarding: reviewing drafts and giving feedback. No new team, no transformation office. We coach the owner along with the agent.
We work with the access you can grant; a well-kept spreadsheet is a fine start. IT approves every access before the build, and the agent never holds credentials of its own. In production means real cases, on approved access.
Every action is logged and reviewable, sign-offs stay with named people, and the agent takes structured routine, not jobs. The role documentation is written to be reviewed.
The agent, its job description and runbook, the skills, the evals, and the access setup. Run it yourselves, or have us stay close: both are normal.

Matthias or Sebastian reads every submission personally.
Matthias or Sebastian reads your job descriptions personally. The split comes back free, within days. No call, no pitch.
We've opened a pre-filled email to hello@minglabs.com. Paste your three job descriptions and hit send, and the split comes back within days.
Didn't open? Write us at hello@minglabs.com.
Redrawn one role at a time. Yours to keep.