AI Automation
Document processing, workflow automation, intelligent routing, and reporting pipelines. Built to replace real manual work.
What we automate
Extract, classify, and route data from invoices, contracts, applications, and forms. Replace manual data entry.
Trigger actions based on ML classifications. Route tickets, approve requests, flag exceptions: without human review.
Generate scheduled reports, summaries, and alerts from raw data. Replace analyst time on recurring work.
Replace threshold-based alerts with ML models that distinguish real incidents from noise. Fewer false positives.
Automatically classify, tag, and enrich incoming data records before they hit your database or CRM.
Detect anomalies in operational processes: production lines, financial transactions, service delivery.
Stack
Client projects
Use case 01
A logistics company processed 2,000 invoices per month manually. The engineers we placed built a CV + NLP pipeline that extracted line items, matched them to POs, and flagged discrepancies. Manual review time dropped by 78%.
Use case 02
An enterprise SaaS company had tier-1 support manually categorizing and routing 10,000 tickets per month. The team we placed built a classifier that routed 84% of tickets automatically with 93% accuracy.
Process
step 01
We document the manual workflow: inputs, outputs, decision points, and exception handling. This is the spec for the automation.
step 02
We identify which steps require ML (classification, extraction) vs. rules, and design the data flow between components.
step 03
We build the automation and test it against historical examples: including edge cases and exception types.
step 04
Production deployment with human-in-the-loop fallback for low-confidence cases. Monitoring tracks automation rate and accuracy.
FAQ
