Customer case case · Rocketizer Intelligence

BProof grade

8Metrics retained

1Evidence records

GupshupVendor

Reported outcomes

20000000 USDExpected operational cost savingExpected over three years · GupshupBaseline: No comparable pre-Gupshup baseline was disclosed. · Formula: Projection assumptions and cost baseline are not disclosed.

95 %AI accuracyThe measurement window was not disclosed. · GupshupBaseline: No comparable pre-Gupshup baseline was disclosed. · Formula: The vendor reports the value directly but does not disclose the calculation inputs, denominator or method.

4.3 xCustomer-care productivityThe measurement window was not disclosed. · GupshupBaseline: No comparable pre-Gupshup baseline was disclosed. · Formula: The vendor reports the value directly but does not disclose the calculation inputs, denominator or method.

75 %Queries resolved autonomouslyThe measurement window was not disclosed. · GupshupBaseline: No comparable pre-Gupshup baseline was disclosed. · Formula: The vendor reports the value directly but does not disclose the calculation inputs, denominator or method.

90 %_approximatelyQueries arriving through in-app chatThe measurement window was not disclosed. · GupshupBaseline: No comparable pre-Gupshup baseline was disclosed. · Formula: 9 of 10 queries = 90%.

2.5 xInteraction-volume increaseThe measurement window was not disclosed. · GupshupBaseline: No comparable pre-Gupshup baseline was disclosed. · Formula: This is a direct reported scale or adoption measure; counting rules and any derivation are not disclosed.

1500000 customersCustomer scaleThe measurement window was not disclosed. · GupshupBaseline: No comparable pre-Gupshup baseline was disclosed. · Formula: This is a direct reported scale or adoption measure; counting rules and any derivation are not disclosed.

20 %_less_thanProjected headcount growthThe measurement window was not disclosed. · GupshupBaseline: No comparable pre-Gupshup baseline was disclosed. · Formula: Projected constraint; baseline headcount and calculation are not disclosed.

Context and boundaries

Workflowcustomer_support_and_serviceGenAI in-app banking support with autonomous resolution.

Implementation??

CaveatsVendor-hosted named case; no customer-owned quantified publication was retained, so it is not grade A.–No single overall case measurement window, cohort definition or audited methodology is disclosed.vendor_owned

Source trail

Tonik Bank case study
Named vendor case: Tonik reports 75% autonomous resolution, 95% AI accuracy, 4.3x care productivity, nine of ten queries in in-app chat, interaction volume 2.5x, and an expected USD 20 million cost saving over three years. The savings is a projection, not achieved revenue.
company · accessed 2026-07-13

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