Solutions

Supplier delivery notes arrive as PDFs or paper, and someone retypes each one into a goods receipt. Structured import only helps if the supplier sends CSV or XML. Here's how an AI agent reads the delivery note, matches it to the order and drafts the receipt — with a human confirming before stock moves.

Many B2B orders arrive as free-text e-mails or PDF attachments in no fixed format, so someone retypes each one into the ERP. Structured import and EDI can't help when there's nothing structured to import. Here's how an AI agent reads the e-mail, extracts the order and posts it — with a human confirming before anything is booked.

Ready-made software rarely fits every process, and the tools you already use often don't connect. This is an honest guide to when a ready connector is enough, when a custom bridge or AI agent is worth it, and how we decide — no build for the sake of building.

Law firms keep clients' corporate records compliant by hand: registry filings, beneficial-owner data, official-journal watch. How an AI assistant wired to the Slovak and Czech registers drafts the documents, watches the deadlines and flags changes — with a lawyer approving every step.

Public-law AI can answer questions about legislation — but a firm's real know-how lives in its own contracts, filings and opinions. How a private, EU-hosted firm GPT works: retrieval over your documents, verified citations instead of hallucinations, and confidentiality by design.

AI agents are sold as a cure-all — everything from a web chatbot to promises of full autonomy. A practical guide for companies: what an AI agent actually does, how it works alongside accounting systems like Pohoda, Money or Helios, how to keep it under control, and where to start so the first deployment delivers a measurable number.

A neutral guide to invoice data extraction: what it is, how template OCR differs from AI extraction, what accuracy to realistically expect, what it costs per invoice in 2026 and when it pays off — plus what mandatory e-invoicing changes.

Companies roll out AI assistants, run one training and hope — usage stays invisible, skills plateau and nobody can say what the tools actually bring. We show how to build a learning loop around AI adoption: real telemetry, a personal level and advice for every developer, aggregate views for managers — without surveillance.

A typical security audit is a PDF that's stale the day it ships. We built the opposite: a read-only AWS auditor that changes nothing in your account, ranks findings into a plan by impact, and grows its own rule set between runs — proving every new rule first (adversarial check + test) and watching for new AWS features and CVEs. You own the decisions; it owns the measuring.

Field teams still fill work-order sheets by hand. Turning those scanned forms into a correct billing sheet means reading noisy handwriting, reconciling every line against the order list, and catching the errors before they become invoices. Here's the controlled system we built to do exactly that — running in production at the scale of thousands of sheets a month.