AI
AI adoption for business
Not “let's try ChatGPT” but a measured return. We find the processes where AI pays off, run a pilot on your data and take it to production. On-prem models where data cannot leave.
Process map with impact and risk per candidate.
Working prototype on real data with measured results.
Personal data does not go to external APIs without a legal basis.
Savings are calculated before the first line of code.
Who needs it
Where there is routine work with text, documents and requests, AI pays back fastest.
Support and sales
An assistant answers common questions, qualifies leads, drafts replies for managers.
Document flow
Extracting data from contracts, invoices, applications. Matching, classification, routing.
Back office
Accounting, procurement, HR: agents that run repetitive scenarios in your systems.
Engineering
AI tooling for the team: several times faster while keeping quality and security.
What we do
From audit to production
Three stages, each ending with a decision: go on or stop.
AI process audit
Interviews, workflow and data analysis. Candidate list with impact, cost and risk. Pilot selection.
Pilot
A prototype on your data: assistant, agent, RAG over a knowledge base or document processing. Accuracy and savings measured.
Rollout
System integrations, access control, answer quality monitoring, staff training, usage policy.
On-prem LLMs
Models on your server or in a Russian cloud for data that cannot go to external APIs.
What you get
A working system and numbers you can show to management.
- Process map prioritised by impact and complexity
- Pilot with measurements: accuracy, speed, savings in hours and money
- Solution architecture respecting 152-FZ and security
- Integrations: CRM, 1C, email, messengers
- Company AI usage policy and staff training
- Quality monitoring and a development plan
How it works
- 130 minutes
Call
Where it hurts, what data exists, what cannot leave.
- 22 weeks
AI audit
Interviews, data analysis, scored candidates.
- 34–6 weeks
Pilot
Prototype on real data, measured impact, decision.
- 4from 4 weeks
Rollout
Integrations, security, training, launch.
Formats and pricing
Fixed-price audit and pilot; rollout estimated after the pilot.
AI audit
fixedA company or department
- Interviews and data analysis
- Process map and impact
- Pilot selection
- 2 weeks
Pilot
fixedOne process
- Prototype on your data
- Accuracy and savings measured
- Rollout recommendation
- 4–6 weeks
Rollout
estimatedTo production
- Integrations and security
- On-prem model if needed
- Training and policies
- Support
If the audit shows AI will not pay off, we say so. Half of the requests end in plain automation without models, and that is fine.
FAQ
Let's talk
An estimate within one business day. No spam, no sales calls.