Replace the manual sorting, routing, and approvals that eat your team's time. AI handles the decisions that follow patterns. Humans handle the ones that need judgment.
Start a projectYour team spends hours every day on work that follows clear patterns but requires just enough judgment that you cannot write a simple if/else for it. Categorizing tickets, routing requests, scoring leads, approving refunds. AI handles the 80% that follow the pattern and escalates the 20% that genuinely need a person.
Every automated decision has a confidence score and an audit trail. When the model is not sure, it says so and a human takes over. When accuracy drifts, you see it before your customers do.
Categorize tickets, documents, leads, and requests accurately. Multi-label classification with confidence scores. Trained on your data, not generic categories.
Route items to the right team or queue based on what the content actually says. Priority scoring by urgency, impact, and customer tier. SLA-aware so overloaded teams do not get more work piled on.
Auto-approve routine decisions: refund requests under a threshold, access grants for standard roles, loan pre-screening. Clear rules for what gets approved, what gets flagged, and what always goes to a person.
Turn messy text into structured data. Extract fields from emails, forms, and documents. Validate against your schemas and flag anything that does not match.
Process thousands of items through classification and routing. Queue management, retry logic, and progress tracking. Review results in batches, not one at a time.
Track how well the automation is working over time. Human corrections feed back into the model. When accuracy drops, you know about it.
Map the current workflow. Identify every decision point, classification rule, and escalation path. Define what good accuracy looks like.
Build the pipeline. Train on your historical data. Set thresholds for auto-processing versus human review.
Run alongside the manual process. Compare results. Tune until accuracy hits the target.
Deploy with monitoring and feedback loops. Human corrections improve the model over time.
Classification, routing, and decision automation running in production with confidence scoring and escalation.
Connected to your ticketing, CRM, or email. Items flow in and results flow out.
Classification accuracy, processing time, auto-approval rates, and escalation volumes in real time.
Human corrections collected and used to retrain. Automatic retraining when accuracy drops.
Automation rules, thresholds, escalation criteria, and what to do when something goes wrong.