Ideas on AI agents for revenue-critical calls.
Clear thinking on voice AI, agentic systems, and running collections, renewals, retention and support at scale — written for the people who own the number.
What are AI agents, and why should you care?
The real distinction between an agent and a chatbot, and why it is the difference between software that talks and software that does the job.
Generative AI writes. Agentic AI acts. The difference decides what it can actually do for a bank, a lender, or an insurer.
AI, machine learning, and deep learning are not synonyms. They nest inside one another, and knowing which is which changes the questions you ask a vendor.
Strip a voicebot down and you find a pipeline: speech in, reasoning, speech out, over a phone line, in under a second. Here is how the parts fit.
The enterprise buyer's guide to voice AI: what a voicebot is, how the stack works, and what to evaluate before you commit.
How AI voice agents reach every overdue account, negotiate promise-to-pay, take payment on the call, and stay compliant.
AI takes the volume and the routine, humans take the hard accounts, and the handoff carries full context. The operating model for collections and retention.
India does not bank in English. The banks that understand this are the ones reaching the customers everyone else quietly writes off.
Most AI in insurance is a novelty bolted onto the website. The money is in the boring, timed conversations that decide whether a policy stays on the books.
Every bank says it is customer-first. Most still send the same message to millions of people at the same time. The gap between those two things is where AI does its work.
Accuracy, latency, interruptions, languages, fallback, compliance and load. The checklist that keeps a voice pilot boring instead of embarrassing.
Contact rate, containment, task completion, handle time, CSAT and the outcome metrics that prove a voice programme is working.
Data residency, encryption, consent, PII handling and vendor due diligence for voice AI in Indian banking, lending and insurance.
Building your own voice AI looks cheaper on the first slide. Here is what it actually takes to run one in Indian BFSI, and when buying a platform is the smarter call.
A practitioner's checklist for evaluating voice and conversational AI vendors in Indian BFSI: the eight criteria that decide whether a deployment recovers money or just runs.
Per-minute pricing rewards your vendor for talking longer. Outcome pricing pays them for the result you actually wanted.
A practitioner's comparison of AI agents and traditional BPO across the six things that decide a BFSI collections or support programme, and why the model that wins is a blend.
India's recovery-conduct norms are written around behaviour, not the caller. An AI voice agent, acting through logged tools, enforces them more reliably than a human floor.