Case manager, agentifieddemo

One day of product-issue tickets at Bridgewater Trade & Safety

180 tickets, 240 trade accounts, four agents, one case manager at the gate. Synthetic data, scripted outcomes, nothing here calls a model.

Finance chainWarranty chainSupplier ops
The value, sized

At 46,000 tickets a year, disciplined triage is worth $1.4m a year.

Arithmetic, not modelling. Two published-style rates multiplied by ticket volume: what manual processing costs against automated, and what gets paid out on a claim that should have been declined. Move the volume and every number moves with it.

10k45k300k
Processing cost, manual
$1.93m$42 per ticket · WarrantyHub / APQC benchmark range
Processing cost, automated
$0.92m$20 per ticket · same range, automated end
The gap, every year
$1.4mOf which $0.4m is claims that should have been declined
Days to resolve
10 1.5Manual 7–14 days, automated 1–2 · WarrantyHub 2026

What this number is

The distance between manual case handling and a disciplined, vision-assisted one, at this ticket volume. It is not a headcount plan — category and account managers stay; what moves is which tickets need them.

What it is not

Not a fraud-detection product. Most of this gap is ordinary process cost and ordinary misuse that a careless system pays out anyway, not deliberate deception.

The honest test

Take the queue below, run today’s tickets, and see how many actually needed a person. That is the real number this page is built to show.

Manual/automated cost per claim and cycle time from WarrantyHub, Claims Processing Benchmarks 2026, and APQC Open Standards Benchmarking. Misuse share from NRF, 2025 Retail Security Survey (9% of returns estimated fraudulent) against a 2% residual once entitlement and photo evidence are checked before anything is paid. Illustrative of scale, not a commitment.

The company

Bridgewater Trade & Safety Pty Ltd fictional

annual sales
active trade accounts
SKUs catalogued
third-party brands + own
branches, distribution centres
tickets, last 90 days
On the public record

What has already happened, cited

9%of returns estimated fraudulent, industry-wide

Most of it is not deliberate fraud so much as evidence never checked. The same discipline — a receipt, a photo, an entitlement window — closes most of the gap.

NRF, 2025 Retail Security Survey
97%accuracy claimed for AI defect classification

Vendor-reported figures for computer-vision quality inspection. Below that confidence band here, a person looks at the photo before anything closes.

Averroes.ai, vision QC overview
55–70%of support tickets resolved without a human

Conservative 2025 industry estimates. Vendors like Zendesk claim up to 80%; Gartner forecasts 80% of routine interactions fully AI-handled by 2026. The gap between those numbers is exactly where judgment still matters.

Twig, 2026 automation benchmark
$15–25vs $35–50 manual, cost per claim

Automated claims processing against manual, same industry benchmark. Cycle time moves from 7–14 days down to 1–2.

WarrantyHub, Claims Processing Benchmarks 2026
Spend by category

Where the catalogue sits

14 categories, own-brand Bridgewater Pro plus 13 third-party lines. Bars are annual sales; the figure is SKUs catalogued.
The account base, live

240 trade accounts. 30 raised a ticket today.

low escalation on watch high escalationtoday’s showcasetouched today
Last 90 days

Tickets a day, needing a person

touchless, 90-day
median days to resolve
mean vision-agent confidence
with a manufacturer now
Run the day

Tuesday 15 September 2026 · 180 tickets

Every request, email, portal form and monitoring signal that reached the case desk today, in arrival order. Watch the agents clear the routine and hand the rest to a person. Click any row to open it in the chain.

0processed
touchless
0to the gate
0declined, evidence clear
$0agent cost, whole day
$0misuse declined, value
Nothing processed yet. Run the day, or open a showcase ticket on the right.
Showcase tickets

30 scenarios worth watching closely

Planted in the data so every number reconciles with the receipt, the SKU and the account history. Filter by family, click to open.

01
Intake and visionEmail, portal, phone and monitoring signals resolved to an account and a SKU; the photo and receipt read before a person opens the ticket
Idle
02
Entitlement and brand routingReturn window, purchase evidence and misuse signals checked; own-brand stays internal, third-party routes to the manufacturer
Idle
03
Resolution matchingPolicy matched to the fault: replace, credit, repair or decline, checked against the delegation limit
Idle
04
Action and recoveryExecutes what is in policy, files the manufacturer or carrier claim, and prepares anything above the line for a signature
Idle
Human · Case manager decision

Nothing on this page approves a credit above the line, disputes a manufacturer or withdraws stock without a person.

No items awaiting approval yet.
The data behind the day

Accounts, SKUs, 90-day tickets and today’s queue, all synthetic, all reconcilable

0Tickets processed
Touchless
0Declined, evidence clear
0With a manufacturer
$0Misuse declined, value
0Signed by the case manager
Sources for the figures quoted in narratives and the value sizer. NRF, 2025 Retail Security Survey (9% of returns estimated fraudulent, ~US$76bn) · Appriss Retail, 2026 Total Retail Loss Benchmark Report (returns fraud/claims 15.14% of returns, US$103bn) · Averroes.ai, computer vision quality control overview (97% vendor-reported defect classification accuracy) · Twig, 2026 AI ticket automation benchmark (55–70% of tickets resolved without a human, 2025 estimate) · WarrantyHub, Claims Processing Benchmarks 2026 ($15–25 automated vs $35–50 manual per claim; 1–2 vs 7–14 days) · APQC, warranty claim cycle time benchmark · Wesfarmers Industrial and Safety / Blackwoods, company overview (the real-world branch-network shape this demo is modelled on, at a smaller and entirely fictional scale).