AI classification and request routing
Messages, emails and forms are automatically routed to the right team — with multilingual SLA tags and full monitoring.
From inbox to the right person
anna@client.lt
Urgent! System down
info@vendor.com
Invoice #2841
lead@new.eu
Request for quote
Support
+ SLA tag
ERP
+ SLA tag
CRM
+ SLA tag
Every email/request → AI tag + priority → right person or system
What we can classify automatically
How much triage time you can save
AI value calculator
Estimate how many manual hours and how much budget you can free up monthly and yearly.
Estimates are indicative. We refine the exact ROI after a free consultation.
How we run AI projects
AI process diagnostics
We assess the process, data and systems. Outcome — a clear recommendation whether to start an AI PoC.
AI PoC
We build a limited-scope solution on real data and measure whether it delivers value.
Pilot workflow
We test the solution in a real process with limited scope and human review at critical points.
Integration with business systems
We connect the solution to ERP, CRM, DMS, WMS, accounting or custom systems.
Scaling and optimisation
We scale the solution to other processes, improve accuracy and optimise operating costs.
Support and maintenance
We monitor operations, resolve incidents, deliver improvements and ensure stable solution performance.
Works with your existing channels
From audit to production
Flow audit
1–2 weeks
- Existing request analysis
- Classifier map
- ROI model
Classifier Proof of Concept
2–4 weeks
- Working classifier on one channel
- Up to 10 categories
- Accuracy report
Production rollout
4–8 weeks
- Multi-channel integration
- SLA tags and routing
- Monitoring dashboard
We don't work with fixed pricing. Hourly rates; PoC starts from a few thousand euros depending on scope.
Frequently asked
How accurate is AI classification?+
Typically 90–97% per category, depending on data quality. Edge cases are automatically routed to a human.
Does it work with Lithuanian and other languages?+
Yes. We support LT, EN, RU, PL, DE, FR and other languages in a single model, with automatic language detection.
How are errors and changes managed?+
Misclassified cases feed back into model training; rule changes are applied through an admin interface without redeployment.