AI Agent Memory
The Four Memory Types in AI Agents: Which One Actually Matters for BFSI
Voice AI systems differ not in model quality but in memory architecture. Here is what the four memory types mean for BFSI collections, servicing, and cross-sell.
Voice AI
Voice AI
The Voice Agent Latency Budget: A Practical Breakdown with Real Numbers
A voice agent has 800ms to respond naturally. This breakdown covers STT, LLM, TTS, and why context retrieval architecture is the only 1,000x variable.
Voice AI
How to Evaluate a Voice AI System for BFSI in India: The 7-Criteria Checklist
Skip the vendor feature list. Use these 7 criteria to evaluate any voice AI system for BFSI in India, and avoid pilots that stall quietly for 6 weeks.
Voice AI
How Voice AI Agents Get Memory of Past Customer Calls in BFSI
Learn how BFSI voice AI agents gain memory of past customer calls via per-entity context profiles that cut latency and repeat NBFC borrower questions.