One workflow, built into an AI coworker, then operated for you.
We build custom AI coworkers that do real work inside the tools your team already uses, deploy them into production, and stay responsible for running them. Not a strategy deck. Not a repository. An operating partner.
A working prototype is the cheapest part of production AI.
Getting an AI workflow to run once, in a demo, on a good day, is the part that looks like progress. It is also the part that takes the least time. Everything that determines whether the workflow is still working in month nine happens after the demo.
Models and APIs change. Integrations break. Outputs drift. Permissions need governing. Edge cases arrive that nobody scoped. Costs need watching. Employees need someone to ask. The workflow itself changes. Most companies do not want to staff an internal AI operations team to hold all of that together for a handful of workflows — so the prototype quietly stops being used.
The demo worked. Production is different.
A pilot runs against clean inputs and a patient audience. Real operating volume brings the exceptions that were never in the demo.
Nobody owns it after launch.
The consultant’s engagement ended. The agency shipped and moved on. The workflow now belongs to whoever has time, which is nobody.
Automation without governance.
An AI given broad permissions and no approval path is a risk, not a saving. Which decisions it may take is a design question, not a setting.
Cost and performance drift unwatched.
Token spend, latency, and output quality all move over time. Without someone reading the numbers weekly, the first signal is usually a complaint.
What we actually build, and what we keep running.
Every engagement produces four things. The first three are the implementation. The fourth is the service, and it does not end.
- 01
The decision map.
We treat the workflow as a chain of decisions rather than a sequence of clicks, and rate each decision on two separate dimensions: how much judgment it requires, and what happens if it is wrong. Clerical-looking work can carry high stakes. Some expert work is safe for AI to prepare.
- 02
The coworker, built and integrated.
Connected to your existing tools, systems, and data, with permissions, evaluations, observability, and approval controls built in from the start. Each decision is assigned an autonomy level: runs independently, drafts for approval, or remains human.
- 03
Deployment into production.
The coworker enters the real operating environment with real volume and real consequences, alongside the people who do the work today. Not a demonstration, not a sandbox.
- 04
Managed operation. Ongoing.
Hosting, monitoring, support, permissions, exception handling, cost management, and reporting. We handle failures, adapt as the workflow changes, and gradually expand what the coworker is trusted to do. This is the part most providers do not offer.
Start with one workflow.
We begin with one well-defined operational workflow where AI can create measurable value. Discovery sizes the opportunity and produces the decision map. Implementation builds and deploys the coworker for an agreed fee. Managed operation is a monthly fee. Once the first workflow is producing, the same operating model extends to the next one.
Fixed in every engagement
- A decision map before anything is built
- Autonomy levels agreed decision by decision, in writing
- You own the decision map, the code, the prompts, and the recorded reasoning
- Success criteria and stop criteria agreed up front, in your numbers
Decided with you
- Which workflow we start with
- Which systems and data the coworker touches
- Where the approval line sits
- What managed operation covers each month
No platform migration.
The coworker works inside the tools you already run.
Governed autonomy.
It acts alone only where that is safe and permissioned.
You own the asset.
Take the whole system in-house whenever you choose.
Operated, not handed over.
We stay accountable for it in production.
- /High-volume or frequently repeated operational workflows
- /Experienced people spending their days on admin and coordination
- /Important processes spread across several disconnected systems
- /Backlogs, slow response times, and operational bottlenecks
- /A prototype that works but never made it into daily use
- /Interest in AI with no appetite for staffing an AI operations function
- /A need for custom implementation rather than generic self-service software
- /Pressure to add operating capacity without adding headcount
- /Exceptions and escalations handled inconsistently across a team
- /Recurring reports assembled by hand every week or month
- /Requests that need categorizing and routing before anyone can act
- /Documents chased, reconciled, or checked as a matter of routine
Bring us the workflow that is costing you the most. A first call is a conversation about one workflow: what it costs today, which decisions it contains, and what could reasonably be delegated. If it is not a fit, we will tell you.
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