EVIDENCE · NUMBERS THAT ALREADY HAPPENED

The headcount and the money peers have already saved

20 numbers for the result, 25 case write-ups for the process — from global giants to 200-person mid-caps, from China to the Middle East. Organized by industry, sources graded below.

Honesty note: these are public industry results, not our own delivery record. Sources are in the appendix at the end of this page, graded 〔官方〕 for media and official reports, 〔厂商〕 for vendor-published claims. If you work with us, your numbers are settled by your own audit ledger: every AI action and every cent, on the record and traceable.

Two deep reads · mid-caps count too

You don't have to be a giant to deserve this ledger

DEEP READ · SYNTHESIA · 400 PEOPLE

Customers grew 7× — support headcount grew by zero

The struggle: customers went from 40,000 to 316,000 in two years — the old playbook meant growing the support team 7× too.

What the AI did: holds the front line; routine questions resolved outright, complex ones escalated to a human, missed answers fed back into the knowledge base.

87%self-serve resolution

5 days → 4.6 hrsresolution time

+0support hires

DEEP READ · NEIGHBORHOOD CU · REGIONAL CREDIT UNION

One hotline, $4.4M saved per year

The struggle: the hotline caught only half of inbound calls; peak-hour queues, member complaints, and hiring costs that didn't add up.

What the AI did: voice AI answers every call first, handles routine business end to end, routes complex matters to a human agent.

48 hourstakeover 50→90%

$4.4Moperating savings

43,000 hrsmember wait time cut

Appendix · where every number comes from

Sources, graded

〔官方〕 media / official / research reports ｜〔厂商〕 vendor-published named cases. Methodology references: AWS Enterprise Agentic AI Guide 2026 · MIT NANDA 2025 · IDC 2025 · Menlo Ventures 2025 · Forrester 2024.

The headcount and the money peers have already saved

25 cases, each one explained

You don't have to be a giant to deserve this ledger

Customers grew 7× — support headcount grew by zero

One hotline, $4.4M saved per year

Sources, graded

The next signed results report could be yours.