Voice and Chat AI Agents Built for Enterprise Conversations at Scale
Move Beyond Scripts. Deploy Human-Quality AI Agents That Talk, Listen, and Act.
AIVeda builds enterprise-grade Conversational AI Agents that handle inbound calls, outbound campaigns, chat, and WhatsApp — using Private LLMs, Small Language Models, and your existing telephony and CRM stack. No third-party data leakage. No black-box voice pipelines. Deployed inside your environment, governed by your policies.
Built for enterprises looking to scale conversation operations with privacy, governance, and predictable cost.
Traditional call centres and chatbots cannot scale modern conversations
Enterprises run thousands of conversations every minute — across sales, support, collections, scheduling, and verification. The infrastructure built to handle them has not kept up.
Common challenges include:
The result: customer experience plateaus while cost per conversation keeps climbing.
Enterprises need conversational agents that are intelligent, private, and always-on
Conversation is becoming a system of execution, not just a channel of contact. AI must understand language, accent, intent, and context — and then take action inside your business systems.
Organizations adopting private conversational AI gain reach, speed, and consistency without scaling headcount.
AIVeda Conversational Agent
AIVeda designs and deploys voice and chat AI agents that operate entirely inside your environment, understand 25+ languages including Indian vernaculars, and integrate directly with your CRM, telephony, and core systems.
What is a Conversational Agent?
A Conversational Agent is an AI system that holds natural, real-time conversations across voice and chat, understands intent and context, and triggers actions in your business systems. AIVeda Conversational Agents are private by design — built on Private LLMs and Small Language Models deployed inside your infrastructure, governed by enterprise policies and audit logs.
Core capabilities
Key Outcomes
Why AIVeda
Private-by-design
Conversations and recordings stay inside your environment. No data sent to public model providers.
Multilingual Real-time
Natural conversations in English, Hindi, Hinglish, Tamil, Telugu, Marathi, Bengali, and 18 more languages with sub-300 millisecond latency.
Enterprise Integrations
Native connectors to Twilio, Plivo, Exotel, Salesforce, HubSpot, Zoho, SAP, and your in-house telephony.
Auditability
Every call and chat is logged, transcribed, scored, and retained under your governance policy.
Pilot-to-Production
A 30-day pilot path from first agent to live calls — without rebuilding your stack.
How It Works
Discovery
Identify the conversation flows that matter most — inbound queries, outbound campaigns, escalations — and define success metrics.
Agent Design
Configure agent persona, scripts, fallback logic, function calls, and language coverage. Choose Private LLM or SLM.
Integration
Connect to telephony, CRM, knowledge base, and downstream systems. Set RBAC and call recording policies.
Pilot Calls
Run controlled test campaigns. Tune voice, tone, latency, and escalation rules against quality benchmarks.
Production & Governance
Roll out across departments and regions. Monitor every call. Audit, refine, and expand capabilities continuously.
Conversational AI Use Cases
By Function
AI Cold Calling and Lead Qualification
Outbound voice agents qualify leads, book meetings, and pass warm conversations to human reps. Run thousands of dials per minute across regions and languages.
Inbound Customer Support and Call Centre
24×7 voice and chat agents answer FAQs, triage tickets, look up order status, and escalate complex cases — replacing IVR menus with natural conversation.
Collections and Payment Follow-ups
Polite, compliant collection agents call customers on overdue invoices, offer payment links, capture promises-to-pay, and route disputes to human agents.
Appointment Booking and Scheduling
Voice agents handle appointment confirmation, reminders, rescheduling, and no-show recovery for healthcare, real estate, services, and field operations.
By Industry
BFSI
Loan recovery calls, KYC verification, policy renewals, and fraud confirmation under regulatory governance.
Healthcare
Appointment scheduling, post-discharge follow-ups, prescription refills, and patient triage — under PHI-safe boundaries.
eCommerce & Retail
Cart abandonment recovery, COD confirmation, order status, returns, and post-purchase NPS at high concurrency.
EdTech & Recruitment
Lead qualification, course counselling, candidate screening interviews, and onboarding follow-ups at campaign scale.
Security and Governance
Conversations are sensitive by default. AIVeda Conversational Agents are governed at every layer — model, infrastructure, telephony, and audit.
Governance Framework
- →Define agent scope, allowed actions, and out-of-scope handoff rules
- →Monitor every call and chat in real time with quality scoring
- →Apply compliance controls for recording, consent, and data retention
- →Maintain audit-ready execution logs across every interaction
Deployment Options
On-Prem
Full control of voice pipeline and customer data. Ideal for BFSI, healthcare, and regulated industries.
VPC Private AI
Scalable conversational infrastructure inside your isolated cloud — AWS, Azure, GCP, or Oracle Cloud.
Hybrid
Voice pipeline on-prem, orchestration in cloud. Combine compliance with elastic scale.
Integrate across your conversation stack
Pilot-to-Production Model
Discover
Identify the highest-value conversation flow and define live KPIs.
Pilot
Deploy one agent against a single use case. Validate quality, latency, and conversion within 30 days.
Production
Roll out across regions, languages, and channels with full governance.
Optimize
Refine prompts, expand to adjacent use cases, and feed insights back into your core systems.
Proof
Enterprise-ready conversation systems
- ✓Handle thousands of concurrent conversations without scaling headcount
- ✓Reduce cost per qualified lead and per resolved ticket
- ✓Improve customer experience scores across every channel
- ✓Deploy across markets and languages without rebuilding the agent
Frequently Asked Questions
What is a conversational AI agent?
A conversational agent is an AI system that holds natural conversations across voice and chat, understands intent and context, and takes actions in your business systems. AIVeda Conversational Agents are built on Private LLMs deployed inside your environment.
How is this different from a standard chatbot or IVR?
Standard chatbots follow scripted decision trees and IVRs route by menu. AIVeda Conversational Agents reason in real time, handle interruptions and accents, switch languages mid-call, and execute actions in your CRM and core systems.
Which languages and accents are supported?
English, Hindi, Hinglish, Tamil, Telugu, Marathi, Bengali, Gujarati, Kannada, Malayalam, Punjabi, and 14+ international languages. Accent handling is tuned for Indian, US, UK, and Middle East English.
How is customer data protected on calls?
Conversations run inside your on-prem or VPC environment. Recordings, transcripts, and embeddings stay under your governance policy. No data is sent to public model providers.
How long does a pilot take?
Most pilots go live within 30 days — from use-case selection to first live calls. Production rollout follows once quality and latency benchmarks are validated.
Build AI You Can Trust
Private conversational AI for regulated, mission-critical enterprises. Book a Conversational AI pilot with our team.