Traditional RPA follows rules. AI adds judgment. Together they handle the 20% of exceptions that would otherwise land back on your team's desk — making automation complete rather than partial.
The combination
Fixed navigation, data entry, system integration, scheduling — all the predictable steps that a human performs the same way every time.
Variable invoice formats, ambiguous emails, document classification, fraud pattern detection — decisions that require more than a fixed rule.
The robot runs the workflow. When it hits a document it can't process, AI handles it. When AI flags an exception, the robot routes it. The human only sees what genuinely needs them.
Example
One of the highest-value combined use cases — showing how each component contributes.
Robot reads incoming claim submission from email or portal and opens the case file automatically.
AI Agent extracts data from claim forms, photos and supporting documents — regardless of format.
Robot validates extracted data against policy records. AI flags patterns consistent with fraudulent claims.
Matched claims are approved automatically. Exceptions and fraud flags are routed to adjusters with pre-filled context. Audit trail generated.
Benefits
Pure RPA typically achieves 60–80% automation on complex processes. Adding AI typically pushes this to 85–95% — handling the variation that rules-based robots cannot.
Instead of dumping all exceptions back on your team, AI handles the ones it can resolve and routes the rest with full context — reducing human review time by 50%+.
Every AI decision is logged alongside robot execution. You can see what data was extracted, what decision was made, and why — supporting audit and regulatory requirements.
FAQ
For most back-office processes — invoicing, data entry, reporting — basic RPA is sufficient. AI is worth adding when documents vary significantly in format, when decisions require context, or when exception handling is currently consuming significant human time.
It depends on the tier. In our RaaS model, AI capabilities are included from the Innovator tier upward. The additional cost is justified when it increases the automation rate from 70% to 90%+ — the remaining 30% is often the most time-consuming part.
AI handles most common business documents well — invoices, contracts, CVs, forms, emails. Highly specialized or domain-specific documents may require a short calibration period using examples from your actual data.
Have a process where exceptions keep breaking the automation? AI + RPA might be the answer.
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