FlowBaasA digital co-worker that works alongside you.
Not a tool, but a colleague. Give it work in plain English. It plans, writes, analyses and logs every step. Active 24/7, within your permissions, set up in four working days.
AI in operations, not in a slide.
A dedicated task owner for the work that disrupts every team: research, email, status, quotes. It gets clear permissions, and stays within those lines.
Take over work, not just suggest it
The agent picks up tasks itself: it reads documents, connects systems, drafts, summarises and delivers in your template.
- Search & summarise documents
- Draft quotes and reports
- Triage email, prepare replies
- Track actions and deadlines
No black box, no blank cheque
It makes no decisions that go to clients or the board without review. It does nothing outside its permission card, and it says when it doesn't know something.
- No client communication without approval
- No "it seems like", sources are named
- No work outside its permissions
- No unseen payments, contracts or decisions
Plain English. No prompt engineering.
You tell it what you want the way you would tell a new colleague. We translate that into prompts, tools and limits that pass the review.
- One conversation replaces 10 tools
- Instructions are version-tracked
- Output follows your house style
- You always see what it was thinking
Plain English in. Structured action out.
One instruction, four steps, one checkpoint. What comes out is not a chat, it's work you can send.
You give the brief
In plain language. One-off, or as a recurring routine ("every Monday 09:00").
The agent gathers context
From your documents, email, CRM, scheduling, only where it has access according to its permission card.
It does the work
Drafts, checks, structures. Flags uncertainties and sources.
You approve
One click. Or: adjust and run it again. Every step stays logged for audit.
What it can take off your plate today.
Five tasks we put live in the first working week. Start with one, scale up when the numbers add up.
Quote agent — from briefing to draft in minutes.
The agent reads the request, retrieves the client data and calculation, and drafts a quote in your house style. You check and send.
Per quote, by your best people.
Draft ready, you approve.
Email triage
Inbox sorted, urgent on top, draft reply ready, before you've had your coffee.
Virtual PMO
Status, risks and action lists from your project documents, weekly, on a single page.
Market & sector research
The agent searches publications, regulator bulletins and industry data; delivers a well-founded summary with sources cited.
Meeting action lists
Notes, action points with owner and deadline, followed up automatically until they're done.
For teams where repetitive work holds growth back.
SMEs and scale-ups from 10 to 500 employees. One pilot team first, scale up when it works.
Email, scheduling, client data
Repetitive work that's well structured but recurs every day, the first, easiest win.
Quotes, lead research
Preparatory work in minutes, so your people can have the conversations.
Status, reporting, sector scan
One agent as virtual PMO and research assistant for leaders who need an overview.
Secure enough for a top-3 bank.
Done-for-you, but never a black box. The agent gets a permission card, a log and an owner, before it touches anything.
Three levels of permission — defined per task.
Not one big "AI can do anything" button. For each task: may the agent act autonomously, does it ask for review, or is it simply forbidden? Per use case, per role, per dataset, logged in the AI register.
Measure → build → scale.
Four working days to a live agent. Only then scale up, when the numbers add up.
Audit & permission card
We map out which task costs a lot of time, which data it touches, and which permissions are safe.
→ business case + scopeAgent live
One task, integrated into your existing tools, with logging and KPIs from the very first run.
→ working agent + measurement planScale on proof
The next task only when the first one pays off. Same register, same governance, no annual contracts without proof.
→ rollout on proofAn agent that passes the review of a top-3 bank.
Agent workflows inside a heavily regulated environment.
A top-3 Dutch bank has been running a pilot with a FlowBaas agent since Q2 2026. The goal: to prove that agent-driven workflows can be deployed safely and verifiably, within the existing compliance and security frameworks, with human review on all output that goes to clients or decision-making.
Name & figures under NDA — ask for the full case in a callThe questions we hear in every intro call.
How do I know the agent won't do anything stupid?
It gets a permission card: defined per task what it may do autonomously, what goes past you first, and what is forbidden. Nothing lands outside those lines, and everything it does is logged.
What if it makes a mistake? Who is responsible?
Per agent, ownership sits with a human inside your organisation, not with us, not with the vendor. We set things up so that mistakes become visible before anything goes towards a client or a decision. The EU AI Act requires this for high-risk AI (Articles 14 and 26); we build as if it were already mandatory for every agent.
Does our data stay within our environment?
By default, yes. Which models we use, which data they touch and what we can retain we define per pilot, before we build. No surprises afterwards.
What does this cost and what does the pilot look like?
Four working days to live, with one concrete use case and a measured result. Fixed price, no annual contract. Only scale up once the first agent pays off. We discuss the figures in the intro call, depending on scope and integrations.
We already have ChatGPT / a copilot. Is this different?
Yes. A chatbot waits until you ask something. An agent picks up tasks itself, connects with your systems, checks its own work and delivers. The difference is "tool" versus "colleague".
Ready to set up your first digital co-worker?
No off-the-shelf packages. A 30-minute intro call in which we honestly tell you whether we can add value, and if not, we point you elsewhere.