MetaCheck

EU-funded companies lose money when targets are missed. MetaCheck reads financial and HR documents as they arrive, masks private data, tracks targets and tests scenarios in a simulator and voice chat.

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Tags

  • Automation

Categories

  • Internal Processes
  • Automation
  • Data Handling
  • Tools and Features
  • Other Business Needs
  • Finalist
  • Room 1

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Description

MetaCheck: live tracking of EU funding targets

The problem When a company receives EU public funding, its contract sets targets it must reach, such as sales, value added and qualified jobs. If a target is missed, part of the grant is cut or must be paid back.

Today these targets are usually checked once a year, by hand, in Excel, after the annual accounts are closed. That takes 25 to 30 hours per project, and by then it is often too late to fix anything. At BF Consultores, a Portuguese funding consultancy, we follow more than 100 projects with targets like these.

Our solution MetaCheck is a new tool for our client portal that follows each company’s targets continuously, not once a year.

How it works

  1. Upload. The company uploads its financial and HR documents, such as accounts and the list of qualified staff.
  2. Privacy first. Names, tax numbers and other confidential data are masked before any AI reads the documents.
  3. AI reading. The AI identifies each document and its year and extracts the relevant figures.
  4. Exact calculations. A rule engine, written in code and not left to the AI, measures progress against each target using the official funding rules. The numbers are always consistent and traceable.
  5. Live dashboard. Each target shows as on track or at risk, with the reason, the possible funding cut in euros and suggestions to fix it.
  6. Scenario simulator. Change the inputs (new hires, hiring date, extra sales) and see the impact on each target instantly.
  7. Voice and text chat. Ask a real question, for example “Is it worth hiring two people in November?”, and get an answer with the company’s own numbers: the cost of the hire against the funding saved.

What we built A working prototype, built from scratch during the hackathon and tested with a fictional company, so no real client data was used.

Impact

  • From once a year to every time a new document arrives.
  • Hours of manual work per project replaced by an automatic pipeline.
  • Companies can act while there is still time, instead of losing funding.

Next steps Connect MetaCheck to the BF client portal and pilot it with real projects.

https://github.com/antonio-mmc/metacheck

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