Domain depth beats generic AI. And finishing the job takes a platform, not a point solution, so our agents close claims, renewals and servicing end to end. Governed and auditable.
Tata AIG
Generali Central
Chola MS
SBI Life
Bajaj Life
Aditya Birla Health
Tata AIG
Generali Central
Chola MS
SBI Life
Bajaj Life
Aditya Birla HealthPick a language and a scenario. It opens in English, switches the moment your customer speaks, and closes the task, every step logged.

A generic bot pointed at finance guesses. Our agents are built on BFSI itself, so they finish the job instead of deflecting it. Three things that changes:
Renewals, FNOL, cashless, persistency, KYC. It anticipates the next step because it knows the process, not just the words.
Insurance and banking terminology and IRDAI rules are built in, so it handles regulated conversations correctly, not generically.
It reads from your policy and product tables, so it never invents a premium, a rule or an eligibility. Accuracy where a generic model guesses.
Lead pre-qualification, policy renewals and persistency, Tele-MER scheduling, onboarding and KYC, claims first-notice, lapsed-policy re-engagement, service requests resolved on the call.
Collections and EMI reminders, account servicing, loan pre-qualification, card activation, onboarding verification, dispute intake, retention outreach, all compliant and logged.
Speaking many languages is table stakes now. The hard part, and the point, is finishing the work: claims, renewals and servicing, end to end, grounded on your policy data and fully auditable.
Each agent is measured on a business result: renewals recovered, claims closed, cost to serve down. Not talk time or tickets deflected. The number you actually chase.
SOC 2 Type II, ISO 27001, DPDP compliant and AES-256 encrypted, with human sign-off on high-stakes cases and IRDAI-aware guardrails by design.
The agent answers only from your verified policy and product data, so it never invents a premium or a rule. It says I do not know rather than guess.
Representative feedback from deployments, shared anonymously at our customers' request.
“We moved renewal outreach onto governed Voice AI across three languages and recovered promise-to-pay commitments the team could never chase by hand. The audit trail is what sealed it for compliance.”
“FNOL to cashless used to take days. Now the routine cases finish on first contact, and my officers only touch the ones that genuinely need a human.”
“What sold us was governance. Every action logged, human sign-off on the high-stakes calls. It cleared our risk review on the first pass.”
Agentic Universe builds secure, compliant, multilingual Agentic AI for banking and insurance that resolves customer requests end to end across voice, chat, WhatsApp and SMS, not just reply.
A chatbot replies. Agentic Universe finishes the task. The agents read the goal, use your systems, and complete work like renewals, claims and servicing end to end, handing off to a human when needed, with every step logged.
12+ global and Indian languages including English, Hindi, Tamil, Telugu, Kannada, Malayalam, Marathi, Gujarati, Bengali, Punjabi, Japanese and Cantonese, with switching mid-conversation.
Yes. SOC 2 Type II, ISO 27001, DPDP compliant, AES-256 encryption, full audit trails, human-in-the-loop sign-off, and IRDAI-aware by design.
Yes. High-stakes decisions get human sign-off before anything commits, and any case can be escalated to your team with full context.
Most BFSI use cases go live in weeks, not months, because the agents are purpose-built for insurance and banking workflows and integrate with your existing systems.
Agentic Universe is headquartered in Singapore with an office in India, serving BFSI enterprises across APAC.
A live demo on your use case, in your language, against your workflow. A real person follows up within a day.