The problem to solve
Creating an invoice involves entering details, looking up the company and checking individual fields. Incoming receipts add more manual entry to expense records.
Doklad.ai / Invoicing · web application
From a sentence to an invoice draft.
Describe what you want to invoice. The app prepares a draft for review, fills in company details and reads receipt data.
Visit Doklad.ai ↗
Enlarge preview ⤢Doklad.ai in practice / Illustrative example
From a request to an invoice draft.
- 01 / Input
Describe what you want to invoice
“Draft an invoice for website development for a sample company, amount CZK 25,000.”
- 02 / Processing
AI prepares the details
The assistant identifies the item and amount. The application connects to the Czech ARES register to fill in company details.
- 03 / Output
Take over the draft for review
Continue with the prepared “Website development” item and the specified amount. Check the customer, price and remaining invoice details.
A simplified scenario using sample data. It illustrates the application workflow; it is not a measured client result.
Scope of our work
Doklad.ai
- AI assistant for invoices and expenses
- Reading receipts and PDF documents
- ARES and ecommerce integrations
What we built
We connected an AI assistant to invoicing, expense records and ARES. It processes plain-language requests or uploaded documents. The app fills in company details and prepares a document for review.
What the solution enables
Users can start with a simple sentence or an uploaded receipt, then continue with prepared data in invoicing or expense records. Document review remains part of the process.
Technology and how it works
OpenAI GPT-5 processes requests and reads image inputs. GPT-5 mini handles selected lighter tasks. ARES supplies company details; application logic controls permissions and document handling.
Illustrative estimate
What value could a similar solution deliver?
If you process 100 documents a month, manual preparation takes 5 minutes and checking a prepared draft takes 2 minutes, the difference is 5 working hours a month.
100 documents × (5 − 2 minutes) = 300 minutes = 5 hours
An illustrative calculation, not a measured Doklad.ai result. Adjust the assumptions to your business. It excludes exceptions and implementation.
Estimate the potential for your business ↗How the work moves forward
From a request to a draft for review.
- Plain-language request
- Prepare details
- Draft for review
A simplified overview of the application workflow.
Next projectCBD Svět
Let’s find a useful starting point
What would you like
to simplify in your business?
Describe one task and the tools you use. A few sentences are enough to start the conversation.
Victor EliotDevelopment and collaboration at Tanduva+420 777 666 651
Project calls are in English. We can translate written materials.
What happens next?
- We review your request and fill in the missing context.
- We agree a suitable first step, its scope and how to validate it.
- You receive a proposal and quote before development starts.
Tanduva is operated by vinireto s.r.o. · Company ID 23101717