Natural voice conversation
Human-like speech with sub-200ms response latency and 99.4% transcription accuracy.
OnDial is the AI Voice Agent Platform global enterprises use to handle inbound and outbound calls at scale, resolve customer intent in under 200 milliseconds, and hand off to human agents with the full conversation already in context.
Overview
AI Voice Agents are software systems that hold real spoken conversations with customers over the phone, understand what the caller actually wants, and complete the task without a human on the line. Unlike an IVR menu, which forces callers down a fixed decision tree, a Conversational AI Voice Agent listens to natural speech, interprets intent from context, asks clarifying questions, and executes an action in your business systems. The result is a phone channel that behaves like your best-trained agent, available at any hour, in any language, at any call volume.
An AI Voice Agent runs a continuous loop across four layers. Speech recognition converts the caller's audio into text in real time, a language model interprets intent against your knowledge base and business rules, an integration layer reads and writes to your CRM or ERP through live API calls, and speech synthesis returns a natural spoken response. OnDial closes this loop in under 200 milliseconds, which is the threshold at which a conversation stops feeling like a machine and starts feeling like a person.
Challenge
Phone volume has not gone away, but the economics of answering it manually have collapsed. Enterprises routinely miss more than half of calls placed outside working hours, and every unanswered call is a lead that phones a competitor next. Representatives who should be selling instead spend a large share of their day copying call notes into spreadsheets and CRMs. The failure points compound. High call volume creates queues, queues create abandonment, abandonment creates lost revenue and support escalations that cost more to resolve than the original call. Manual scheduling introduces no-shows, human error introduces compliance exposure, and staff overload introduces attrition, which restarts the hiring cycle at the exact moment volume peaks.
Comparison
| Focus | Traditional process | OnDial AI Voice Agents |
|---|---|---|
| Peak hours | Long hold queues during peak hours | Unlimited concurrent calls, zero hold time |
| Availability | Calls answered only during business hours | 24/7 AI Call Management across time zones |
| CRM logging | Notes typed manually into a CRM, often late | CRM updated automatically before the call ends |
| Quality | Script quality varies by representative and shift | Identical, approved conversation on every call |
| Languages | New language market requires a new hiring plan | 100+ languages available without new staff |
| Scale | Scaling means recruiting, training, attrition | Scaling is a configuration change |
| Analytics | Call quality reviewed by sampling a few calls | Every call transcribed, scored, and searchable |
Solution
OnDial sits between your telephony layer and your systems of record, so the AI Voice Agent is not a chatbot bolted onto a phone line but an operator with live access to the data it needs. When a call arrives, the agent identifies intent, retrieves the relevant customer record through an API call mid-conversation, and executes the workflow attached to that intent, whether that is booking a slot, checking an order, or qualifying a lead. Anything the agent cannot or should not handle transfers to a human with the transcript, the intent, and the sentiment already attached.
Process
The agent answers on the first ring, at any hour, in any supported language.
Natural speech is transcribed and interpreted against your knowledge base and business rules, not a menu tree.
It books the appointment, retrieves the order status, or qualifies the lead through a live API call to your systems.
The record, the disposition, and the structured call summary are written before the call ends.
The customer receives an SMS, WhatsApp, or email confirmation triggered by the conversation outcome.
Sentiment, resolution, and next best action are logged, and anything requiring judgment routes to a human with full context.
Features
Capabilities
Features describe what the AI Voice Agent Platform ships with. Capabilities describe what it can actually do when a real customer is on the line, and the conversation does not go to plan. This is where most Voice Automation Platform evaluations are won or lost.
Benefits
Industries
Conversation
Inbound call lands, or the AI Phone Agent dials out.
The agent opens in your brand voice and auto-detects the caller's language.
The agent identifies what the caller wants from natural speech.
Identity is confirmed against your records where the workflow requires it.
The agent gathers only the fields the workflow needs.
The appointment, order, or qualification is executed live via API.
The record, disposition, and structured data are pushed to your system of record.
SMS, WhatsApp, or email confirmation is triggered automatically.
Transcript, sentiment, action items, and next best action are logged, or the call transfers to a human with all of it attached.
Integrations
OnDial connects to the stack you already run, which means deployment is a configuration exercise rather than a replatforming project. Connections are established through enterprise-ready APIs, and most teams are live on their core systems within days.
Security
Regulated enterprises cannot deploy a Voice AI Platform on trust alone, so OnDial is built to be audited rather than described. Every conversation, transcript, and recording is governed by AI-specific controls covering retention, redaction, and access. Compliance posture is verifiable through current attestations, not marketing claims.
Languages
Global coverage is the difference between an AI Voice Agent that serves one market and a platform that serves your footprint. OnDial supports 100+ languages and 50+ regional accents, with automatic language detection on connect and no additional setup per market. Agents switch language mid-conversation while holding intent and context, which matters in markets where callers code-switch naturally. Transcription accuracy holds at 99.4% across supported languages. Entering a new market becomes a routine decision rather than a hiring plan.
Deployment
Call flow audit, intent mapping, system access, compliance review.
Agent configuration, knowledge base ingestion, integration wiring in the no-code builder.
Sandbox calls, accent and language validation, escalation logic, security sign-off.
Phased traffic cutover with a solution architect on call, then tuning against live data.
Customization
Every enterprise deployment differs in voice, rules, and edge cases, so nothing in OnDial is locked. Teams control the agent's voice and persona, the conversation scripts, the underlying prompts, and the business rules that decide when to act and when to escalate. Custom workflows and API endpoints extend the agent into proprietary systems, and the no-code builder means iteration does not queue behind an engineering sprint.
Outcomes
Comparison
| Capability | Human agent | Traditional IVR | OnDial |
|---|---|---|---|
| Availability | Business hours | 24/7 | 24/7 |
| Understands natural speech | Yes | No, menu tree only | Yes |
| Handles interruptions | Yes | No | Yes |
| Concurrent calls | One | Limited by lines | Unlimited |
| Languages | One or two per agent | Few, pre-recorded | 100+ |
| Live CRM and API actions | Manual, after the call | Rare, brittle | Automatic, mid-call |
| Consistency across shifts | Varies | Fixed but rigid | Consistent |
| Escalates with context | Not always | No | Yes, full transcript |
| Cost behaviour at scale | Linear with headcount | Low but low value | Flat and predictable |
| Analytics coverage | Sampled | Minimal | Every call |
Pricing
Services available across all tiers include implementation and integration, agent design and prompt engineering, and ongoing optimisation against live call data.
For teams validating AI Call Automation on a single use case, with core integrations and standard support. Usage-based pricing with no long-term commitment.
For multi-market, multi-workflow deployments requiring SSO, advanced compliance controls, dedicated environments, and an SLA. Includes a named solution architect through onboarding and beyond.
For regulated or high-complexity environments needing bespoke integrations, specific data residency, or on-premise considerations. Priced against scope after a technical discovery session.
Straight answers on speed, languages, integrations, and compliance.
AI Voice Agents are software systems that answer and place phone calls, understand natural speech, and complete tasks in your business systems without a human on the line. Unlike IVR, they interpret intent rather than routing through a menu.
Get started
Four ways to start, depending on where you are.