Language barriers and complex menus slowed fintech adoption. Now, an AI voice assistant handles money transfers conversationally.
A UAE-based technology group operates a communication app used by eight out of 10 smartphone users in the country, which is currently expanding to offer fintech services like digital wallets and international remittances.
As the platform expanded into financial services, many users struggled with digital literacy, language barriers, and confusing menu navigation....
“Voice Live API acts as a connective tissue for AI-driven conversation across every layer of the app. It gives us a standardized framework so different product teams can incorporate voice without needing to hire deep AI expertise.”
Astra Tech's Voice assistant is part of this use case:
Super-app platform integrating communication, financial services, and e-commerce.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Legacy systems struggled to translate diverse global dialects. Now, AI delivers millisecond-latency voice translations worldwide.
Static pages forced users to click endlessly. Now, 150k+ AI agents answer 1.8M inquiries via 24/7, face-to-face conversations.
Without emotional warmth, users felt self-conscious during personal AI chats. Expressive text-to-speech made conversations feel human.
Transcription latency delayed voice agents. By processing speech mid-utterance, agents trigger workflows before callers even finish.
Cached prompts failed dynamic voice chats. Rebuilding context every turn via GPT-5.1 cut memory misses 30% and lifted retention 20%.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Accountants manually scoured mailboxes to assemble 15 subsidiary workbooks. Now, staff-built AI agents pull invoice data for instant review.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.
Language barriers and complex menus slowed fintech adoption. Now, an AI voice assistant handles money transfers conversationally.
A UAE-based technology group operates a communication app used by eight out of 10 smartphone users in the country, which is currently expanding to offer fintech services like digital wallets and international remittances.
As the platform expanded into financial services, many users struggled with digital literacy, language barriers, and confusing menu navigation....
“Voice Live API acts as a connective tissue for AI-driven conversation across every layer of the app. It gives us a standardized framework so different product teams can incorporate voice without needing to hire deep AI expertise.”
Astra Tech's Voice assistant is part of this use case:
Super-app platform integrating communication, financial services, and e-commerce.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Legacy systems struggled to translate diverse global dialects. Now, AI delivers millisecond-latency voice translations worldwide.
Static pages forced users to click endlessly. Now, 150k+ AI agents answer 1.8M inquiries via 24/7, face-to-face conversations.
Without emotional warmth, users felt self-conscious during personal AI chats. Expressive text-to-speech made conversations feel human.
Transcription latency delayed voice agents. By processing speech mid-utterance, agents trigger workflows before callers even finish.
Cached prompts failed dynamic voice chats. Rebuilding context every turn via GPT-5.1 cut memory misses 30% and lifted retention 20%.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Accountants manually scoured mailboxes to assemble 15 subsidiary workbooks. Now, staff-built AI agents pull invoice data for instant review.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.