Hear the customer.
Sub-300ms voice. English, Spanish, Arabic dialects, Hindi, 100+ languages. Handles tone, interruption, ambient noise, accent.
An ops seat running customer work costs $3,000 to $8,000 a month fully loaded, whether it sits on your own floor or on your outsourcer’s. For that, you get one human who works one shift, speaks one language, needs six months of training, churns in eighteen, and produces an outcome your QA team samples at the end of the week.
Cozmo replaces the seat. Not assists it, not augments it. Replaces it. You stop paying for a human’s time and start paying only when the case actually resolves.
The shift your CFO has been waiting for. The shift your P&L was built to demand.
The reason voice AI vendors, RPA tools and horizontal agent platforms haven’t replaced the ops seat is that they each do one piece of the seat’s job. An ops seat has to do four things, in order, on every interaction. Miss one and you still need the human.
Sub-300ms voice. English, Spanish, Arabic dialects, Hindi, 100+ languages. Handles tone, interruption, ambient noise, accent.
IDs, trade licences, bank statements, claim forms, dashcam footage, collateral packs, tax documents. Read live on the call, structured data extracted, attached to the right record.
Your credit box, your authority matrix, your KYC/KYB rulebook, your refund thresholds, your regulatory obligations. Applied inside the agent's reasoning, not as a post-call filter.
Core banking, policy admin, LMS, claims platform, CRM, case management. The case closes in your system of record before the call ends.
One agent, all four, every time. That’s what an ops seat does. That’s what Cozmo replaces.
Live customer results. Same thesis, replace the seat, across different workflows. Pick the one on your P&L.
The pattern is the same across every workflow. The seat gets replaced, the cost line drops, the throughput metric climbs, the audit trail gets cleaner. Your outsourcer doesn’t have an answer to this. Your in-house floor doesn’t either. We do.
Every other approach forces you to stitch together two or three vendors and hope nothing breaks at the seams between them. The seams are where the regulator finds you.
APE is Cozmo’s governance layer. It runs 800 deterministic compliance checks on every exchange the AI employee has with a customer. The full regulatory stack, enforced inside the agent’s reasoning, not bolted on as a post-call review.
Outbound dialing with consent state tracked per customer per channel.
Mini-Miranda, validation notices and dispute handling enforced on every call.
Identity verification before any account information is disclosed.
Thresholds applied live during KYC, with SAR-relevant flags routed for review.
Every decision logged with the input, the rule it followed, and the policy clause behind that rule. Ready for the regulator.
Cozmo is running regulated customer operations today across insurance, banking, lending and collections, for Fortune 100s, US carriers, and digital lenders.
We replaced an entire collections floor. Cost per resolved account dropped 70%. The AI employee negotiates, processes the financial documents on the call, and produces an FDCPA audit trail that is cleaner than what our human team was doing.
Dash-cam footage is analyzed instantly, the call is handled in the customer's language, document follow-ups happen automatically. One AI employee runs what used to be our entire FNOL desk.
Same AI employee handling voice, messaging and documents 24/7 across English, Arabic and Spanish. No shift changes, no handoffs, no quality variation between agents.
Your written compliance policies, your authority matrix, your call scripts, your system integrations. Loaded into the AI employee, dry-run against your historic calls, then live.
Pick the workflow. Hand over policies, scripts, system credentials.
Compliance rules loaded into APE. Agent persona and authority matrix configured.
AI employee runs against historic calls. You QA the transcripts and decisions side by side.
First live customer call. Phased ramp from there at the pace your risk team is comfortable with.
Onboarded customer. Collected account. Closed claim. Funded loan. Handled support case. Pricing is tied to the outcome the AI employee delivers, defined and measured against the same SLA your ops floor is on today.