AI automation that touches the real workflow
We use AI where it can remove repetitive work, not where a normal rule or API would be cheaper. The result is a production workflow with auditability, fallbacks and a human path when the model is uncertain.
Signs this is worth fixing
- Teams copy information between email, WhatsApp, spreadsheets and ERP screens
- Staff read the same type of document or ticket and make repetitive decisions
- Leads or customer requests wait because somebody has to classify and route them
- Management wants AI but has no safe path from demo to production
What changes
Less manual handling
Faster response and routing
Traceable AI decisions
A production system instead of another prototype
Delivery
What a real implementation includes
01
Workflow map and automation boundary
02
Model and vendor selection
03
Integrations and business rules
04
Evaluation set and guardrails
05
Production deployment and handover
Tools selected to fit the system
OpenAIAnthropicGoogleAWSLaravelNode/NuxtPythonPostgreSQL
Have one of these problems?
Start with the workflow →