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Voice AI Agents

The agent doesn’t just talk. It does the work.

Inbound and outbound agents that look up the record, take the permitted action and hand to a person by policy.

Book a DemoSee how it runs
  • Runs in your perimeter
  • Handoff by policy
  • Acts in your systems
Story01 / 11

A convincing answer is not a finished task.

The agent at work, then three beats from the buyer’s side: where general agents stall, the core that gets past it, and the one place the agent is built, rehearsed, released and watched.

  1. What the agent does

    Looks up, checks policy, then acts.

  2. Where agents stall

    Sounds done, nothing finished.

  3. Hear, know, act, as one

    Speech, a model, your tools and data.

  4. Build, test, run, as one

    Every change scored before it ships.

An agent hub joined by tubes to a database, a ticket tray, a calendar and a vault behind a small gate, with a receipt tile beside it.
  1. The recordThe agent looks the customer’s record up live in your own system, while the caller is on the line.
  2. Policy checkEvery write is checked against your permission and policy rules before it reaches a system of record.
  3. The agentThe agent interprets the request and decides which of its attached tools the call needs.
  4. TicketingA ticket is opened and updated by the agent in your ticketing system, as one tool call among the others.
  5. The receiptEvery lookup and write is on the call’s record with the result the system returned, for audit and for a person who takes over.

700 ms end-to-end response latency at the 80th percentile

Illustrative scene, not a product capture

Capability 1 of 4: What the agent does

Film02 / 11

Build, test, ship, then watch it work.

One agent from its first node to production, with every change scored against synthetic callers before it ships and every call traced after.

  1. BuildThe conversation as a graph
  2. ConfigureSpeech, model and pipeline
  3. TestSynthetic callers first
  4. EvalsScores before the release
  5. ProductionLive calls on one console
  6. ObserveEach call traced end to end

Product demonstration with sample data

The pipeline03 / 11

Three stages, every one timed.

Every stage of the runtime is timed, and published with its scope.

  • 01

    Speech recognition

    Transcribes the caller as they speak, accents and all, on the live stream.

    • <110 ms ASR processing

      speech recognition stage

    • 2.2% word error rate

      speech recognition, 25+ languages

    • 25+ languages

      speech recognition with native accent understanding

  • 02

    Agentic intelligence

    Reads the request against the call so far, then chooses the tool for it.

    • 97.2% function-calling accuracy

      agentic intelligence stage

    • 20+ turn context window

      agentic intelligence stage

    • <0.3% hallucination rate

      agentic intelligence stage

  • 03

    Natural response

    Speaks the answer, and stops the moment the caller speaks over it.

    • <200 ms interrupt detection

      natural response stage

    • 180 ms TTS synthesis

      natural response stage

    • <400 ms total time to first byte

      natural response stage

raw audio to action in under 400 milliseconds

three-stage pipeline, end to end

Voice AI Agents

One call, from the caller’s words to the action taken

99.95% uptime SLA

Capabilities04 / 11

Seven capabilities, one agent on the line.

Each row plays a clip of the product, from the builder to the analytics that measure it: evidence of how the story above is done.

  1. Designed as a graph

    Prompts, tools and transitions.

  2. Each layer in your hands

    Speech, model, voice and turn-taking.

  3. Rehearsed on hard calls

    Synthetic callers before real ones.

  4. Tools chosen on the call

    The request decides which tool runs.

  5. Acts in your systems

    Lookups and permitted operations.

  6. Your fleet, one console

    Every agent and its calls, one view.

  7. Measured on every call

    Completion, containment, escalation.

The builder: an agent is named, a voice chosen, a prompt written and tools attached on a graph of nodes and transitions, then set to deploy.

Ask us for a builder walkthrough

Product demonstration with sample data

Capability 1 of 7: Designed as a graph

How it runs05 / 11

One call, from intent to receipt.

A cancelled flight, one call, as an illustration. The agent names the intent, picks the rebooking tool, passes the policy check, re-issues the ticket and records a receipt. The refund goes to a person with the full context.

One call, from intent to receipt.A cancelled flight, one call, as an illustration. The agent names the intent, picks the rebooking tool, passes the policy check, re-issues the ticket and records a receipt. The refund goes to a person with the full context. The steps, in order: Intent, Tool choice, Policy check, Execute, Receipt, Human handoff.Intentflight cancelledTool choicerebook, seat mapPolicy checkfare allows itExecuteticket re-issuedReceiptevery step keptHumanhandoffnot automatedIntent, not a menuThe caller’s own wordsThe tools it hasAttached to this agentPolicy before actionThe rules layer firstWritten, not draftedIn the airline’s systemKept as it ranEvery lookup and writeA person takes overTranscript and state

Built in06 / 11

The parts that keep an agent inside policy.

The parts that hold a call inside policy are named and shown.

One call keeps its context inside policy when it reaches a humanInside policyCallHumanContext retained
Inside policy

Speech in and out

Speech enters and leaves on one acoustic channel.

Voice authentication

Voice and behaviour verify the caller before action.

Model choice

Models can change without changing the agent contract.

Conversation context

The call history stays intact from turn to turn.

Policy checks

Policy checks every turn before tools may act.

Human handoff

Recovers, then hands over. The person gets the full context.

  • >99.2% multi-factor voice authentication accuracypassive voiceprint plus behavioural biometrics
Voice AI Agents

The parts that hold one call inside policy

automated QA scoring on 100% of calls, not sampled

Where it runs07 / 11

Runs inside your perimeter.

The same agent runs on your own servers, in your cloud account or behind your own telephony, with your data inside your boundary for the life of the call.

  • On your own servers

    In your own data centre, air-gapped where required: models, telephony bridge and call records all in the room.

  • In your cloud account

    Inside your own cloud subscription, behind your own IAM boundary, your keys and your network policy, in region.

  • On your telephony

    Through the numbers and providers you route today, with voice, WebSocket and chat test lines before go-live.

In production08 / 11

What live deployments actually measure.

These figures come from live deployments, with their scope.

A man on a phone call in the open floor of a bank branch, the counters behind him out of focus.
Voice AI Agents

A bank customer on the line with the agent

  • 40-78% first call resolution improvement

    The agent finishes the task on the call instead of raising a case.

    live deployments across BFSI, telecom and travel

  • 30-55% average handle time reduction against a human-only baseline

    Lookups and writes happen while the caller is still speaking.

    live deployments across BFSI, telecom and travel

  • <3 sec average response time, no queue, no hold

    Every call is answered at once, with no queue and no hold music.

    live deployments across BFSI, telecom and travel

  • <22% of calls requiring human escalation

    Policy decides what the agent may do, and a person takes the rest.

    live deployments across BFSI, telecom and travel

Independent Q1 2025 benchmark study, enterprise production environments

Connected09 / 11

It plugs into the systems you already run.

Voice AI Agents reaches your systems through their own interfaces.

Voice AI AgentsRuntime interfaces

Enterprise applications

Each app keeps its own interface.The runtime meets it there.

SAPServiceNowOracleWorkdayMicrosoft SharePointMicrosoft TeamsSlackAtlassian Jira

Contact centre platforms

Calls enter and leave here.The runtime joins their interfaces.

GenesysFive9TwilioAvayaAmazon ConnectRingCentralGoogle CCAI PlatformNICE CXone

Customer records

Customer records stay in place.The runtime uses their own interfaces.

SalesforceHubSpotMicrosoft Dynamics 365ZendeskPegaZoho CRMFreshworksAdobe Experience Platform

Cloud accounts

Cloud accounts stay customer owned.Connections use the account surfaces.

AWSGoogle CloudAzureOracle Cloud InfrastructureIBM CloudAlibaba CloudRed Hat OpenShiftVMware

Programmatic surfaces

REST, GraphQL and WebSocket.Reach your own interfaces.

Owned event queues

Webhooks and events are routed.Into your own queues.

Voice AI Agents

The runtime at the centre of the systems it calls

6 weeks from contract to live

Proof10 / 11
A bank’s contact centre at dusk: agents on headsets at white desks, the city skyline behind the glass.

Voice AI AgentsBanking

A voice-first contact centre that takes inbound and outbound calls.. Read the case study

UTI Mutual Fund

VAANI voice-first contact centre, inbound and outbound calls, since Dec 2025

Closing11 / 11

Bring one call type. Leave with an architecture.

A white suite case opening on six coloured discs, the product surfaces, rising between its lid and its base.
Voice AI Agents

Inbound and outbound, finishing the call

A working session with an engineer who has deployed inside a bank’s perimeter. We map your telephony, data boundary and handoff rules, and tell you what we would not automate.

Book a Demo