Agentic knowledge workers
We build AI agents that assist your professionals and automate routine work, on your own data and in your own systems. You give them a goal. They do the work, check it, and bring it to you to sign off.
In your domainAccounting and bookkeepingFinance and forecastingReporting and business intelligenceLegal and complianceCommunication
This is for you if
- A team spends its days retyping, matching and reconciling data your systems already hold.
- You tried an assistant. It made the slides and built the budget sheet, but you still had to do the work yourself.
- Your specialists answer the same questions from colleagues every week, and their own work waits.
What you leave with
- The result
- A knowledge worker running in your systems. Your bookkeeper or controller approves its work instead of doing it.
- The sign-off
- Acts alone, asks first, or the operator signs off: you decide which, step by step, and the way back stays open.
- What it needs
- A knowledge worker needs your company dictionary and its own access, rules and logbook. The next knowledge worker reuses all of it.
- Ownership
- You own the repository, the agent and the builder agent that made it, and their tools and data stay in your own cloud. Nothing sits on a platform of ours.
What we do, what you do
| We | You |
|---|---|
| Build the knowledge worker for the job and ground it in your data. | Tell us what the words mean in your company, once. |
| Test it and set the guardrails, with access under your control. | Instruct it, inspect its work, and sign off. |
| Turn your corrections into rules. | Decide when a step has proved reliable enough to move to "acts alone", and keep the way back open. |
Worth knowing
On its own, a model can reason, but it knows nothing about your company. It has never seen your records, cannot open your accounting system, and does not know what "an open invoice" means to you. What surrounds the model turns it into a colleague: your company dictionary, the agent's own records, tools, access, rules, limits, and a logbook. The dictionary is a written list of what your words and numbers mean. The logbook records what was done, who did it, and which sources were used.
Frank answers
- Can it post something nobody checked?
- Not unless you have moved that step to "acts alone" after it proved reliable. Until then it asks first, or the operator signs off, inside the accounting system where your bookkeeper already works.
- Does our data leave the company?
- Your data, the pipelines and the tools stay in your own cloud project, and you control access. When the knowledge worker works, the model provider you chose processes what each step needs, on the terms you have with that provider. Nothing moves into a platform of ours.
- What happens when it gets something wrong?
- The correction goes into the rules and the dictionary, so the same mistake is not proposed again.
- Are we locked in?
- No. You own the repository, the folder of code and settings that holds everything built for you. You also own the knowledge worker and the builder agent that built it. A builder agent is an AI agent that builds and maintains the data pipelines and knowledge workers for you. You can maintain all of it without us.