AI Application Workshop

Business apps
& automations,
built by AI,
securely on your servers.

You describe the process. An agent builds it, runs it on your infrastructure, and logs every action. The things IT would ask for are already in place.

BitSwan Console
Company size50employees
Invoices
Payroll
Reporting
Monitoring
Hours saved
158
Go on — push them up.
In production since 2021 · Trusted by CETIN, VAFO, KŠD, AVANT
How it works

How a sentence becomes software.

No spec document. No backlog ticket. No six-month IT project. Describe a business process in plain language and an AI agent builds the custom application that runs it. Correct it while you watch, so what ships is what you meant.

01

You describe it

In your own words, the way you’d explain it to someone new. What starts it, which systems it touches, what the rules are. That sentence is the spec.

02

AI builds it

A coding agent writes the actual software. Database, logic, screens, usually within hours. You watch it take shape and correct it in plain language. Real code, built to production standards, not a prototype’s.

03

Bailey runs it

It deploys to your servers through a controlled process that keeps IT in the loop. They can audit the code before it goes live, see what it connects to and what data moves through it.

In production today

Automating the work that must not go wrong.

These are the automations running today: invoice payments, payroll runs, bank statement reconciliation, fund valuations and insolvency monitoring. They sit in finance, controlling, payroll, risk and operations, where somebody always checks the work afterwards.

Operations

Anomaly detection

Live data streams watched for unusual patterns — the odd spike gets flagged before it becomes an outage or a loss.

Open case study →
Finance

Invoice and payment automation

From received invoice to executed bank payment: an agent watches the folders, extracts the data, generates payment files and sends them through the bank's API — every step logged, human validation where you want it.

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Operations

Real-time warehouse reporting

Stock levels and movements reported live instead of in yesterday's export. Decisions run on the warehouse as it is, not as it was.

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Finance

Downloading bank statements

Statements retrieved from every account automatically and matched — no morning log-ins, no copy-paste into the accounting system.

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Finance

Invoice automation

The receiving side of invoicing runs itself: capture, extraction, approval routing, posting. The team validates; the automation does the typing.

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Payroll

Attendance and payroll processing

Attendance data flows straight into payroll — checked, reconciled, and ready for the accountant instead of a spreadsheet marathon.

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Payroll

Adding bonuses to payroll

Bonus calculations that used to live in someone's head now run as an audited step in the payroll cycle. Same rules, zero retyping.

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Accounting

Posting receipts to the books

Receipts are extracted, categorized and posted automatically. Month-end stops waiting on a shoebox of paper.

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Controlling

Checking electricity invoices

Every energy invoice audited against contracted tariffs, automatically. Overbilling gets caught the day it arrives, not at year-end.

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Controlling

Invoice and P&L reconciliation

Invoices reconciled to the P&L continuously — the close stops being detective work.

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Investment

Fund NAV calculation

Fund valuation calculated on schedule, from source data, with a full audit trail — the number the board sees is the number the log shows.

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Investment

Redemptions — fee calculation

Buyback fees computed by rule, not by spreadsheet — consistent, logged, defensible.

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Risk

Monitoring insolvencies across the EU

Counterparties watched across EU insolvency registers continuously. You hear about trouble before the invoice bounces.

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Sales

Competitor price monitoring

Competitor prices tracked continuously, changes surfaced to the people who set yours. No more Friday screenshot rounds.

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Marketing

PR content approval

Drafts routed through review and sign-off with a full trail — who approved what, and when, is never a mystery.

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Governance & compliance

Every other AI tool hands you
a problem: Shadow AI.

Shadow AI is the new Shadow IT. Your people are already building with AI. Then the work dies at the IT border. Nobody can say who had access, what ran, or where the data went. Ours doesn’t die there. Everything BitSwan builds runs inside Bailey, on your machines. IT can audit the code before it reaches production, and see exactly what it connects to and what data moves through it.

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It runs on your machines

Not ours. Not a shared cloud you rent. The model can sit inside your building too, so sensitive data never has to leave it. The one thing hosted AI builders can’t offer you.

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The code is yours

Real code, in your hands, on your infrastructure. If we disappeared tomorrow your automations would keep running. Nothing here is a workflow trapped inside somebody else’s product.

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Governance isn’t a bolt-on

Access per person and per automation, secrets sealed, every action written down, enforced by the runtime itself. You can’t add that to a prototype afterwards, which is why prototypes get blocked.

Comparison

Why BitSwan? The honest breakdown.

Choose the right tool for the job. Simple connections belong in Zapier. Core products belong in custom development. Administrative business workflows belong in BitSwan.

FeatureNo-code (Make, Zapier)Custom dev agencyBitSwan Workshop
Time to productionDays4–9 monthsDays — first live in week one
Complexity limitLow — hits a ceiling quicklyUnlimitedUnlimited — generates real code
Data residencyVendor's public cloudYour choiceYour servers / private cloud
IT & NIS2 complianceHard to audit / Shadow AI riskExtra cost if specifiedBuilt-in audit logs & access control
MaintenanceYou fix broken zapsHigh retainer fees24/7 maintenance included
Proven in production

Five years in production.

In production
5+ yrs
Enterprise clients
10+
Active workflows
50+
“We went from piecemeal scripts and manual copying to a cohesive, governed platform that handles our core telecom and financial workflows. BitSwan keeps us agile without compromising our security audits.”
Juraj Eliáš · Chief Core Network Architect, CETIN Group
CETINTelecommunications KŠDLegal & corporate AVANTInvestment funds VAFOManufacturing EMIL FREYAutomotive FAMICOE-commerce PROCESS SOLUTIONFinancial
FAQ

What might be on your mind.

The objections we hear most, answered plainly.

"We already use Claude or ChatGPT."
Keep them. They're the chisel — excellent for building, and vibe-coded prototypes are a great way to explore. 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.
"We've done this manually for 50 years."
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.
"We already have a tool for that."
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.
Do we need developers to build a custom business application?
No. You describe the app or process in plain language and an AI coding agent builds it — no spec documents, no project team. Your role is validating that it does what you described.
Where does the AI model run, and can it be self-hosted on our servers?
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, everything runs inside your Bailey — a private, access-controlled runtime — and everything the AI can see and touch is controlled and logged.
Is BitSwan NIS2 and DORA ready?
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.
How long does it take to automate a business process?
The AI agent builds an automation in hours; the first one is typically live in production within the first week — a 30-minute demo, a pilot on one of your real processes, then deploy.
Who maintains the automation when an external API changes?
Our team is on standby 24/7. When a connected system changes or an API moves, we're at hand — you're never left owning software you can't fix.
Is this no-code, or does it write real code?
Real code. No-code platforms give you a workflow that lives inside their product and stops where their connectors stop. An agent here writes an actual application (database, business logic, endpoints, interface) on your own infrastructure. You can read it, audit it, and keep it if we ever part ways.
Can it connect to our ERP, bank and accounting systems?
That is most of what these automations do. The ones running today read bank APIs, post to accounting systems, pull from ERPs and watch shared folders. Where an API exists it gets used; where one does not, the automation works the way a person would. Credentials are held as sealed secrets, never written into the code.
Next steps

Want to see it running?

Thirty minutes. We show you Bailey, you tell us about your work, and we find out whether there is something here for you.

Book a 30-min demo Demo available in English or Czech