Results at Kotak Securities, Würth, Star Health and 16 more
AI and modernization case studies. 13 are under NDA and appear by sector.
Financial Services/India
Kotak Securities' mobile order flow went from eleven taps to three, and conversion on it rose 400%.
76%
Faster from first tap to completed order
- A major financial institution
Financial Services/Client under NDA
A major financial institution saw 25% fewer fraudulent transactions after we put machine-learning scoring inside its banking systems.
25%
Fewer fraudulent transactions, caught in real time
Industrial Distribution/Germany
Würth's 30,000 field representatives moved off a patchwork of third-party tools onto one CRM, on web and mobile.
30,000
Field representatives on one platform
- A manufacturing group
Manufacturing/Client under NDA
A manufacturing group lowered supply chain costs 20% with demand and inventory forecasts that feed its ERP.
20%
Off supply chain costs, with shorter lead times
Insurance/India
Star Health rebuilt five customer flows on a cloud-native platform with us, and conversion across them rose 22%.
+22%
Conversion across the rebuilt flows
- A metropolitan transit network
Government & Public Sector/Client under NDA
A metropolitan transit network's voice line now resolves 70% of calls without a person, in eleven languages.
70%
Calls resolved without a person
Real Estate & Infrastructure/India
Tata Realty and Infrastructure logs every internal request against an SLA, in one system that replaced email and phone escalation.
100%
Internal requests captured against an SLA
- A hospital network
Healthcare/Client under NDA
A hospital network cut readmissions 15% with a risk score that appears in the clinical record before discharge.
15%
Fewer readmissions, with the prediction inside the EHR
- A national telecom operator
Telecommunications/Client under NDA
A national telecom operator cut network outages by 40% with models that flag faults before they happen.
40%
Fewer network outages
- A major retail bank
Banking/Client under NDA
Bots now check loan documents and route complaints at a major retail bank, and loan processing takes 60% less time.
60%
Less time to process a loan
- A regional government
Government & Public Sector/Client under NDA
A regional government moved its top twenty services behind one citizen identity. More than 15 million citizens have signed up.
15M+
Citizens onboarded
Education/India
Navneet Publications moved its classes and content onto one platform, and 1.5 million students joined in the first academic year.
1.5M+
Students in the first academic year
- A leading automotive manufacturer
Automotive/Client under NDA
An automotive manufacturer's line runs 30% faster and wastes 20% less material after a process redesign and automated quality checks.
30%
Faster production
- A telecom operator
Telecommunications/Client under NDA
A telecom operator improved response times 50% by putting assistants on routine questions and automating billing.
50%
Faster responses
- An online retailer
Retail/Client under NDA
An online retailer grew sales 20% with recommendations and page content tuned to each customer segment.
20%
More sales, with higher engagement
- A major retail brand
Retail/Client under NDA
A major retail brand lifted campaign conversion 25% with a personalization engine running across every marketing channel.
25%
Higher conversion, with more repeat purchases
- A leading e-commerce platform
E-commerce/Client under NDA
An e-commerce platform ships 60% fewer post-release bugs since automated tests went into its release pipeline.
60%
Fewer post-release bugs
Education/India
An AI agent inside Canam Consultants' CRM now does 80% of counselors' repetitive work, with a person approving it, and each counselor can handle twice the load.
80%
Repetitive tasks automated, each reviewed by a person
- A high-growth technology startup
Technology/Client under NDA
A high-growth startup cut testing time 40% by replacing a manual QA gate with automated tests in its pipeline.
40%
Less testing time, so releases ship sooner
Tell us which system the AI has to run inside
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