It's Monday morning at 8am. Your contact centre agents start their shifts. Three hundred calls are already queuing. A significant portion — the exact number varies by industry, but research consistently puts it between 50 and 80% — are entirely predictable. Address changes. Status queries. Appointment bookings. Policy confirmations. Claim status checks.
These calls do not require human judgment. They require system access and accurate execution. An agent navigating four screens to book an assessor appointment is not doing knowledge work. They are doing data coordination — connecting a caller to a system the caller could, in theory, reach directly, if only the interface existed.
The interface now exists.
What SKYLA does with those calls
SKYLA intercepts the predictable calls — the ones where the workflow is known, the steps are defined, and the correct outcome is deterministic — and handles them autonomously across both voice and chat.
- Address changes and record updates
- Order status, claim status, account queries
- Appointment booking, rescheduling, cancellation
- Policy confirmations and coverage checks
- Payment confirmations and direct debit updates
- Complex disputes and contested decisions
- Emotionally escalated interactions
- Novel edge cases outside policy scope
- Cases requiring regulatory discretion
The caller speaks naturally. SKYLA resolves the intent, executes across the relevant enterprise systems via REST/OAuth2, and confirms the outcome before the call ends. No hold. No transfer for the routine part. No agent in the loop for the workflows that don't need one.
"When SKYLA reaches a case that genuinely requires human judgment, it transfers with full context pre-loaded. The agent receives the call knowing everything that was said and everything that was done. The caller never repeats themselves."
The escalation modelThis is not theory
The live demonstration is a complete FNOL motor claims intake — first notice of loss for a motor insurance claim. Five steps: identity verification, accident detail capture, mandatory fraud check, claim file creation, assessor booking. All autonomous. All in one call.
FNOL is the hardest version of this problem: emotionally charged, compliance-critical, multi-system. If SKYLA handles it correctly, it handles address changes, status queries, and appointment bookings with room to spare.
The same architecture runs in healthcare back-office workflows, European telco customer service, and any high-volume process where the workflow is rules-driven and the execution is currently manual. Voice and chat. One policy layer. One audit trail.
Where it works
The Monday morning problem is solvable. 50–80% of the queue doesn't need to be there — not because the work is unimportant, but because the work is deterministic. System access and accurate execution. That's SKYLA.