AI that takes routine work off your team
We find a task where AI saves your staff real time: reading invoices and contracts, answering clients from your knowledge base, sorting incoming requests. We start with a pilot on one task and measure the result. AI prepares a draft, and someone on your team makes the call.
When it makes sense
What’s included
- A log of what the model decided and what people correctedStudio concept · fictional data
- Choosing the task and how we’ll measure success
- Preparing data and examples
- A pilot with the model and a screen where a person reviews results
- Measuring accuracy on your own data
- Fitting it into your existing workflow
- A report on what worked, what didn’t and what to do next
Separately, by agreement
- Running the model on your own server
- Fine-tuning on your data
- Rolling it out to other processes
- Support
What it costs
one task with a result you can check
Exact price after a call- pilot
How we work
- 01
Task and metric
We pick what to automate and decide how we’ll know it worked: accuracy, time saved, how much manual work is left.
- 02
Data
We collect real examples and label a reference set to test against.
- 03
Pilot
We set up the model and a review screen, then measure results against the reference set. You see progress every week.
- 04
Rollout
We build it into the process, train your staff and keep watching the quality.
Before the first call
Didn’t find your question?
Message us on Telegram. Someone from the team will answer you personally.
Message us on TelegramIt depends on the task and on how sensitive the data is. We use cloud models or run them on your server, and for sensitive documents we go with the local option.
Every decision the model makes comes with a confidence score. Low-confidence ones are flagged for a person, and every correction is logged. Your employee stays responsible for the result.
Only if you choose a cloud model, and then only under the provider’s agreement. We can also run the model on your side, and then the data never leaves your network.
Usually a few dozen real examples with the correct answers. They become the reference set we test against.
Then we say so in the report. That’s what a pilot is for: finding out before you spend serious money.
See also
- ServiceIntegrations and automationWe connect your website, CRM, 1C, warehouse and payments, so nobody copies data by hand and nothing gets lost
- ServiceCRM and ERP systemsWe build a CRM and ERP for your business: requests, clients, orders, stock and reports in one system instead of spreadsheets and chats
- CaseInvoice reading with a person checking the resultYou upload an invoice and get the fields pulled out with a confidence score for each. You check the doubtful ones and send the result to accounting.
- AIHow to test AI before trusting it with documentsAny model gets things wrong sometimes. What matters is how often, and whether you catch it. Here’s how to run a small pilot that shows whether to go further.
Let’s find a task for a pilot
We’ll start with one task where the result can be checked and measured.