Manual dialers, scattered platforms, a rigid IVR. One cloud platform unified 350 agents — turning phone banking into a revenue channel.
A small finance bank serving more than 10 million financially underserved customers across India, operating under strict Reserve Bank of India guidelines governing cloud adoption, data residency, and security controls.
As its customer base grew, the bank relied on a legacy IVR system and managed outbound communications across multiple disconnected platforms,...
“We understood how the market is shaping up; everything is going to cloud. Once you’re in the cloud, you can optimize your applications.”
Small Finance Bank offering personal, business, and NRI banking services.
AI-powered customer experience orchestration platform for contact centers.
Ujjivan SFB's Contact center automation is part of this use case:
Related implementations across industries and use cases
Manual QA left 90% of calls unchecked. AI now audits every interaction, accurately capturing mixed Hindi-English conversations.
Tools failed on Hindi-English mixes, limiting QA to <10% of calls. AI now transcribes every word to audit 100% of interactions.
Static bots capped accuracy at 75%. Now, AI agents run live credit checks with 99% precision, tripling engagement.
Tools failed on Hindi-English mixes, limiting QA to <10% of calls. AI now transcribes every word to audit 100% of interactions.
Blind spots across 300 hubs hid test drive issues. Tablet mics now surface defects, while AI agents automate sales calls.
Analyzing 200-page reports took senior reps hours. Now, AI extracts key insights, empowering any sales rep to build tailored client decks.
Escalations from 2.5M daily transactions bottlenecked teams. Multi-agent AI now dynamically routes and resolves complex payment issues.
Manually evaluating high call volumes was slow and inaccurate. Now, AI extracts sentiment so sales teams can refine their outreach.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.
Manual dialers, scattered platforms, a rigid IVR. One cloud platform unified 350 agents — turning phone banking into a revenue channel.
A small finance bank serving more than 10 million financially underserved customers across India, operating under strict Reserve Bank of India guidelines governing cloud adoption, data residency, and security controls.
As its customer base grew, the bank relied on a legacy IVR system and managed outbound communications across multiple disconnected platforms,...
“We understood how the market is shaping up; everything is going to cloud. Once you’re in the cloud, you can optimize your applications.”
Small Finance Bank offering personal, business, and NRI banking services.
AI-powered customer experience orchestration platform for contact centers.
Ujjivan SFB's Contact center automation is part of this use case:
Related implementations across industries and use cases
Manual QA left 90% of calls unchecked. AI now audits every interaction, accurately capturing mixed Hindi-English conversations.
Tools failed on Hindi-English mixes, limiting QA to <10% of calls. AI now transcribes every word to audit 100% of interactions.
Static bots capped accuracy at 75%. Now, AI agents run live credit checks with 99% precision, tripling engagement.
Tools failed on Hindi-English mixes, limiting QA to <10% of calls. AI now transcribes every word to audit 100% of interactions.
Blind spots across 300 hubs hid test drive issues. Tablet mics now surface defects, while AI agents automate sales calls.
Analyzing 200-page reports took senior reps hours. Now, AI extracts key insights, empowering any sales rep to build tailored client decks.
Escalations from 2.5M daily transactions bottlenecked teams. Multi-agent AI now dynamically routes and resolves complex payment issues.
Manually evaluating high call volumes was slow and inaccurate. Now, AI extracts sentiment so sales teams can refine their outreach.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.