Solutions · Call Centers

Your agent hangs up. Then the typing starts.

NextRev drafts the summary, the CRM record and the application from what was said. Your agent reviews and approves. Nothing sends on its own. It runs on the dialer you already have.

The hidden cost on every floor

After every call, your best agents stop selling and start doing paperwork:

  • Re-keying the caller's info and policy details into the CRM
  • Filling out applications and enrollment forms by hand
  • Writing call notes and the compliance summary
  • Logging dispositions and updating statuses across systems
  • Copy-pasting between the dialer, the quoting tool, and the CRM
  • Pulling together the end-of-day reports

Industry benchmarks put after-call work at roughly 6 to 12% of an agent's paid time, and compliance-heavy lines like insurance likely sit at the high end (our read). Hand-keyed records are not free either: studies of manual data entry report errors of roughly 0.3% to 6.6% depending on the method. Those numbers come from the cited sources and describe the industry, not a NextRev result. We size yours from your own calls.

What NextRev does for your floor

It runs on the dialer and CRM you already have. No rip-and-replace.

A live cheat sheet, during the call

Captured, missing, and unsure fields on screen as your agent talks, so they stay with the customer instead of hunting for fields.

The work, already done, after the call

The summary, the CRM record, and the application are drafted for your review and queue for one-click approval. Your agent reviews; nothing sends on its own.

Works on the phone system you already have

Whether your dialer hands over live audio or just the recording, the value never depends on the hardest piece to connect.

Every field ties back to the call

Every field is tied to the moment of the call it came from. Anything the system is unsure of is left empty and flagged, never invented. Your agent's approval is the only point a record moves.

The working software

Try it right here, on a sample call

This is the working software, running on sample data. Load a sample call, watch the cheat sheet fill from what was actually said, and approve the record yourself. Everything below runs on sample data; nothing you do here touches a live system.

nextrev-cci-demo.pages.dev SAMPLE DATA
Open the demo full screen Want this running on your own calls? Request a demo.
The working software

And it reconciles your commissions

The same engine, pointed at your commission statements. Drop a carrier statement, PDF or Excel, and watch it check every line against your book, flag what does not match, and show what each producer is owed, every number traced back to the statement. Runs on sample data here; nothing you do touches a live system.

nextrev-cci-commission.pages.dev SAMPLE DATA
Open the demo full screen Want this on your own statements? Request a demo.

Why insurance floors are moving now

The technology to do this safely has arrived, and adoption is following. The figures below are industry context, not a NextRev result.

Top AI use

Contact-center and customer-service automation is among the most common AI uses organizations report, alongside capturing and processing information.

McKinsey, State of AI 2025
Approve-first

The blocker was trust: AI that guesses cannot touch a regulated record. NextRev only writes what traces to the call, and only after an agent approves.

NextRev design principle

See it on your own calls

We start with a paid diagnosis sized on your floor's own numbers. You leave with a plan whether or not we build.

Sources

  1. Voiso, "Average After-Call Work Time." After-call work as 6 to 12% of agent time. voiso.com
  2. SQM Group, "Industry Standards for Top Call Center KPIs." After-call-work benchmarks. sqmgroup.com
  3. Garza et al., "Error Rates of Data Processing Methods in Clinical Research" (systematic review, NCBI/PMC). Manual data-entry error rates. ncbi.nlm.nih.gov
  4. McKinsey, "The State of AI" 2025. Contact-center automation among top AI uses; insurance adoption. mckinsey.com
  5. McKinsey, "The future of AI in the insurance industry." AI across the distribution lifecycle. mckinsey.com