High call volumes bottlenecked 130+ agents. Now, a secure internal LLM resolves app queries and summarizes chats, even during air raids.
A Ukrainian financial institution supporting massive daily transaction volumes and over 130 concurrent support agents, requiring continuous service delivery even during air raids.
Overloaded phone lines and manual processing of legal documents created significant operational bottlenecks for staff. Meanwhile, clients faced long...
“Мы уже видим конкретный эффект от внедрения ИИ, в частности количество обращений в контакт-центр уменьшилось на 9−11%, что является значительным показателем. В то же время скорость получения ответа и удовлетворенность сервисом значительно возросла.”
Also reported by
Systemically important Ukrainian bank for retail, SME, and corporate clients.
Developed the NovaTalks omnichannel platform used by the bank to integrate AI into its customer service and automate operator tasks.
Sense Bank's Customer support is part of this use case:
Related implementations across industries and use cases
Complex disputes required manual tracing. AI agents now autonomously plan and execute multi-step payment investigations.
Manual processing blocked 24/7 support. Now, an AI agent resolves routine requests autonomously, freeing staff for relationship work.
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Manual processing blocked 24/7 support. Now, an AI agent resolves routine requests autonomously, freeing staff for relationship work.
Agents manually hunted for crypto data. Now, an autonomous agent cites real-time records to boost case resolution by 70%.
Minor compliance updates once forced full video reshoots. Now, course creators generate and edit AI avatar videos directly from text.
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Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.
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High call volumes bottlenecked 130+ agents. Now, a secure internal LLM resolves app queries and summarizes chats, even during air raids.
A Ukrainian financial institution supporting massive daily transaction volumes and over 130 concurrent support agents, requiring continuous service delivery even during air raids.
Overloaded phone lines and manual processing of legal documents created significant operational bottlenecks for staff. Meanwhile, clients faced long...
“Мы уже видим конкретный эффект от внедрения ИИ, в частности количество обращений в контакт-центр уменьшилось на 9−11%, что является значительным показателем. В то же время скорость получения ответа и удовлетворенность сервисом значительно возросла.”
Also reported by
Systemically important Ukrainian bank for retail, SME, and corporate clients.
Developed the NovaTalks omnichannel platform used by the bank to integrate AI into its customer service and automate operator tasks.
Sense Bank's Customer support is part of this use case:
Related implementations across industries and use cases
Complex disputes required manual tracing. AI agents now autonomously plan and execute multi-step payment investigations.
Manual processing blocked 24/7 support. Now, an AI agent resolves routine requests autonomously, freeing staff for relationship work.
Multilingual claims bottlenecked expansion. Claude now auto-drafts decisions across 15 apps, automating 70% of targeted tasks.
Manual processing blocked 24/7 support. Now, an AI agent resolves routine requests autonomously, freeing staff for relationship work.
Agents manually hunted for crypto data. Now, an autonomous agent cites real-time records to boost case resolution by 70%.
Minor compliance updates once forced full video reshoots. Now, course creators generate and edit AI avatar videos directly from text.
Shifting to B2B sales exposed disconnected workflows and anecdotal forecasts. Now, AI analyzes interactions to surface deal intelligence.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.
Sourcing native speakers for 14 markets was costly. Now, AI handles 40% of routine queries and translates live for a central English team.