After-hours coverage
Answer approved call types when a human queue is unavailable.
AI Call Center
Handle routine calls, capture every transcript and move unresolved work into the same queues your messaging team already uses.
Customer request received
Tola understands the intent
AI completes the approved work
Human takes over with context
A call should create context, not another isolated system.
What changes
Answer approved call types when a human queue is unavailable.
Follow the same verified workflow for each supported request.
Review outcomes, demand and escalation from one workspace.
How it works
Identify the caller and reason before choosing the right flow.
Provide approved information or collect the details the workflow needs.
Transfer, create a ticket or schedule a human follow-up with context.
Capabilities
Organize inbound demand by number, workflow and availability.
Handle defined requests conversationally using your knowledge.
Apply recording and notice rules that match your operation.
Make call content searchable and usable by the support team.
Transfer or create follow-up work when automation should stop.
Measure volume, outcomes and the portion of demand handled by AI.
FAQ
Yes. Early-access teams can test Tola with real workflows before choosing a paid plan. We onboard teams directly so channel setup and AI rules are reviewed together.
You choose the level of autonomy. Tola can draft for approval, automatically resolve approved routine requests, or hand a conversation to a person when confidence or policy requires it.
Tola is designed around WhatsApp, email, web conversations, tickets and phone calls. Availability can depend on your provider, number and rollout stage.
We’ll map the workflow, connect the right channel and show exactly where AI helps—and where a person stays in control.
Request a demo