We implement AI in business. Honestly.
95% of AI projects fail to deliver results. We know the 6 reasons — and help you avoid them.
- From 2 weeks for audit
- Transparent budgets
- Measurable ROI
Why AI projects fail
95%
of pilots without measurable results
MIT Media Lab 2025
40%
of projects will be canceled by 2027
Gartner 2025
2.5x
increase in failures per year
S&P Global
6 problems integrators don't tell you about
- 1 Need for human interaction
- 2 Cannot learn from colleagues
- 3 Integration into existing processes
- 4 Lack of transparent action history
- 5 Blurred responsibility
- 6 Stopping on failures
How we work
12 weeks to results
1
Preparation
4 weeks- Process selection for automation
- Audit and formalization
- Defining responsibility model
2
Development
4 weeks- Fault-tolerant architecture
- RAG system with knowledge base
- Integrations with your systems
3
Launch
4 weeks- Shadow mode (agent works in parallel)
- Pilot with limited scope
- Scaling + ROI calculation
For whom
Processes we automate
- Contract approval
- Request processing
- Document management
- First line support
- HR processes
Not suitable
- Unique non-repeatable processes
- Processes that change every week
- Budget < $7,000