The workshop for business automation
Everyone's handing you better tools. Nobody's giving you a place to build.
Describe a process in plain language. An AI agent builds it into a production automation that runs on your infrastructure — access-controlled, audit-logged, built for NIS2 compliance. First automation in week one.
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How it works
From idea to production automation in three steps
01 · Describe
Say what you need
Tell the Scriptorium what you want to automate, in plain language.
Your process, your words. No spec document. No backlog ticket.
02 · Build
Watch it get built
An AI coding agent writes the automation in hours — backend, frontend, database, endpoints. Architecture, security, and stack are already in place. You see it run live while it's built.
03 · Deploy
Press deploy
One press: DEV, staging, or production. Every deployment is versioned,
logged, and reversible — and your team uses the result the same day.
The Scriptorium is the writing hall of your Bailey — a development environment where you describe a process and watch an AI agent build it into a working automation.
In production today
What companies automate with BitSwan
Not hypotheticals — automations running right now at Czech mid-market companies, in finance, controlling, legal, and operations.
Finance
Invoice & payment automation — from received invoice to executed bank payment
Finance
Bank statement retrieval & matching across accounts
Payroll
Attendance & payroll processing, bonuses calculated into wages
Accounting
Receipt bookkeeping — extracted, categorized, posted
Investment
Fund valuation & buyback fee calculation
Controlling
Electricity invoice audit against contracted tariffs
Operations
Real-time warehouse reporting
Controlling
Invoice-to-P&L reconciliation for month-end close
One end to end: the invoice-to-payment cycle
A finance team was retyping invoices scattered across cloud folders, an invoicing system, and the bank. Now a BitSwan automation watches the folders, an AI agent extracts the data, payment files are generated and sent through the bank's API — every step logged, with human validation where the team wants it. The whole cycle runs without manual transcription; the close stopped waiting on it.
These automations were built on BitSwan by our implementation partner Harmonum — case studies available for each.
Already building with AI?
Already building with Claude or Copilot? Good.
A chisel is a brilliant tool. It's still not a workshop.
AI is the chisel.
BitSwan is the workshop.
Prototypes built in AI studios work — right up to the IT border. No access control, no audit trail, nowhere to run. So they die at the finish line.
BitSwan doesn't replace your AI tools. It gives them a place where what you build can actually ship: governed, secured, deployed.
The Bailey
Business automation your IT team will approve
Every automation runs inside your Bailey — a private, access-controlled runtime environment that belongs to you. Governance is built in, not bolted on. No Shadow IT, because doing it properly is the easy path.
Access control
Who can build, who can run, who can see. You decide; the runtime enforces it.
Audit logs
Every action recorded. When the auditor asks, the answer is already written.
Secrets management
Tokens and credentials handled securely — never pasted into code.
NIS2 & DORA controls
The controls the audits ask about — logging, access, data residency — are part of the platform, not an add-on.
Frequently Asked Questions
Keep them. They're the chisel — excellent for building. BitSwan is the workshop around them: the governed place where what you build gets deployed, audited, and run in production. An assistant answers questions; an automation runs the process.
Nobody's asking you to change how you work. You describe how you do it — and the automation does it your way, without the retyping, the copy-pasting, and the errors at month-end. Your 50 years of process knowledge is exactly what the agent builds from. It's the asset, not the obstacle.
Keep it. Point tools handle steps; they don't run the process end to end. BitSwan connects the tools you already have — the invoicing system, the bank, the spreadsheet — into one workflow that runs whole, with every step logged.
No. You describe the process in plain language and an AI coding agent builds it — no spec documents, no project team. Your role is validating that the automation does what you described.
That's your decision. Run the model fully self-hosted and nothing leaves your infrastructure — or use an API model where it fits your data policy. Either way, the automation runs inside your Bailey — a private, access-controlled runtime — and everything the AI can see and touch is controlled and logged.
The controls NIS2 and DORA audits ask about — access control, audit logs, data residency — are built into the runtime, not retrofitted. Bring your compliance checklist to the demo; we'll go through it line by line.