Traditional RPA follows rigid rules and breaks when things change. COCO AI understands business intent, self-adapts, and handles exceptions autonomously.
| Dimension | Traditional RPA | COCO AI |
|---|---|---|
| Rule Type | Fixed if-this-then-that | Semantic understanding of business intent |
| Adaptability | Breaks when UI/process changes | Self-adapts to UI and process changes |
| Exceptions | Stops, waits for human | Autonomously judges 80%+ of exceptions |
| Creation | Coding or low-code platforms | Natural language description |
| Scope | Single-department task chains | Cross-department end-to-end orchestration |
| Discovery | Manual documentation | AI auto-discovers opportunities |
| Reliability | 23% monthly interruption | 2.1% monthly interruption |
Auto-create accounts, welcome emails, assign CSM, create Slack channel post-contract
AI extracts invoice, matches travel policy, routes approval, generates payment automatically
Auto-create system accounts, request IT equipment, schedule training sessions post-offer
| Metric | Before | After | |
|---|---|---|---|
| Automation rate | 15% | 78% | +420% |
| Process handling time | Baseline | -65% | -65% |
| Manual error rate | 4.7% | 0.38% | -92% |
| Daily repetitive work | 2.5 hrs | 0.4 hrs | -84% |
| Interruption rate | 23%/mo | 2.1%/mo | -91% |
| Employee satisfaction | Baseline | +31% | +31% |
Start with biggest pain point
Department rollout + cross-dept pilot
Automation Center of Excellence
AI auto-scans system logs, generates Automation Opportunity List ranked by time saved
Describe the workflow in everyday language or pick from 30+ integrations. No coding required.
Sandbox trial for 2-3 days. AI auto-reports anomalies and optimization suggestions.
Dashboard shows real-time status of all automated workflows, time saved, and ROI.
Start your free trial. Intelligent automation, not rigid RPA.
Start Free →Sample: 153 enterprise customers across manufacturing, finance, technology, and services sectors Q4 2025–Q1 2026, minimum 60 days usage. Metrics: Automation rate defined as automated repetitive process steps / total repetitive process steps (pre-post audit). Error rate from comparing manual operation logs vs automated execution logs. Employee satisfaction via anonymous 90-day post-deployment Likert survey (n=847). Limitations: Weighted averages; results vary by process complexity, system landscape, and change management maturity. Automation rate 95% CI [±6.5pp]; error reduction 95% CI [±1.1pp]. Verification: Cross-validated against system audit logs and workflow engine telemetry. Written by COCO AI Product Team, reviewed by Data Science, updated May 2026.