Conversational AI for Enterprise: Secure, Integrated and Built to Scale

Conversational AI for enterprise has to do more than chat. It must connect to core systems, meet security and compliance requirements, support many languages and channels, and handle millions of conversations reliably. Aadrila’s enterprise AI conversational platform is built for regulated industries such as banking, insurance and finance, by a team of former bankers.

What enterprises need from a conversational AI platform

How Aadrila meets enterprise conversational AI requirements
RequirementHow Aadrila delivers it
Security and complianceISO 27001 and SOC 2, consent capture, recordings and audit logs
IntegrationAPIs to CRM, core banking, policy admin, LMS and claims systems
ChannelsVoice, IVR, web chat, app and WhatsApp from one platform
LanguagesEnglish, Hindi and regional Indian languages
GovernanceRole-based access, approved scripts, change history
AnalyticsIntent, outcome and sentiment on every conversation
ScaleHigh-volume inbound and outbound campaigns

Conversational AI for banking and finance

Conversational AI in banking handles account, card, loan and EMI queries, KYC data collection, collections reminders and cross-sell calls. For lenders and NBFCs, conversational AI for finance teams automates loan lead qualification, document follow-ups and AI in collections, with every call logged for regulators. Our conversational AI banking deployments verify callers before any account detail is shared.

Conversational AI in insurance

Conversational AI insurance use cases include claim intimation, claim and pre-auth status, policy servicing, renewals and premium reminders. Because Aadrila also builds claims management software and document AI, conversational AI in insurance can update the claim, not just read it.

Conversational AI for sales

Use conversational AI for sales to call new leads within minutes, ask qualifying questions and book meetings. Conversational AI lead scoring ranks each lead on the answers given, so your sales team calls the best leads first. See the AI calling agent.

Other industries

Our conversational AI enterprise platform can also handle bookings, changes and reminders in travel and hospitality: conversational AI in travel handles itinerary and booking queries, and conversational AI in hospitality handles reservations and guest requests.

Enterprise deployment, step by step

  1. 1

    Discovery

    Map high-volume journeys and integration points.

  2. 2

    Security review

    Share compliance documentation and agree data handling.

  3. 3

    Pilot

    Launch one journey on a share of traffic.

  4. 4

    Scale

    Add journeys, languages and channels based on results.

Compare platforms in our guide to the best conversational AI platforms. Deployments run on our conversational AI platform and our AI voice agent.

Frequently Asked Questions

What is enterprise conversational AI?

Enterprise conversational AI is a voice and chat AI platform built for large organisations, with system integrations, security, governance, analytics and the ability to handle very high volumes.

How is conversational AI used in banking?

Banks use it for account, card, loan and EMI queries, KYC data collection, collections reminders and sales calls, with caller verification and full audit logs.

How is conversational AI used in insurance?

Insurers use it for claim intimation, claim status, policy servicing, renewals and premium reminders.

What is conversational AI lead scoring?

It is the ranking of sales leads based on the answers they give to an AI during a qualification call or chat.