Post-trained on your SOPs, policies, and real customer calls — so it resolves requests end-to-end with the accuracy banking demands. Natural voice. Real-time. Enterprise-reliable.
Sample agent call · Banking · English
A sample recording of our voice AI agent handling a call
Use cases
One agent, trained on your workflows, across the calls your contact center handles every day.
Balances, statements, transaction queries, and account updates — answered instantly, around the clock.
Block lost cards, request reissues, manage limits — real actions completed in your systems.
EMI and payment reminders that stay compliant and capture promises-to-pay at scale.
Follow up on pending documents and verifications, walking customers through exactly what's needed.
Give customers live status on disputes, service requests, and applications without hold queues.
Qualify loan and product inquiries on the first call and route hot leads to your bankers with full context.
How it works
We ingest your policies, workflows, and historical call transcripts — the ground truth for how your bank handles every scenario.
Reinforcement learning aligns the agent to your exact rules — not a generic model with a prompt taped on.
Goes live on your telephony, connected to your core systems. Runs in your VPC or ours, and scales to millions of calls.
Why Flocko
Flocko builds domain-specialized agents post-trained with RL to follow your exact rules — accuracy that rivals frontier labs, at lower cost.
Hear what a domain-trained agent sounds like on your bank's calls.