Tools / Voice & Phone AI

PolyAI Review (2026)

Replaces IVR menus with a voice agent people can actually talk to, at enterprise scale and enterprise price.

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2.8out of 5
Pricing transparency1.0
Capability4.0
Independence5.0
Independent evidence1.5
Cost predictability2.5

What the score measures. Five things we can verify from published material: whether pricing is transparent, whether the product can act on your systems or only answer from documents, whether the vendor still owns its own roadmap, how much independent review evidence exists, and whether the bill stays predictable as volume grows. Weighted, then scored against an ideal platform that scores 5.

Evidence score2.8 / 5
Starting priceNot published
Pricing modelCustom / sales-led
Free planNo
Self-serveNo
IndependentYes

BEST FOR: ENTERPRISES REPLACING IVR AT SCALE · LAST UPDATED 2026-07-30

PolyAI in depth

PolyAI's target is the phone menu, and it is a good target. IVR trees are among the most disliked pieces of software ever deployed, and the reason they persist is that nothing better existed at the price.

PolyAI replaces the tree with a voice agent that handles open speech, interruptions and correction mid-sentence. Where an IVR asks you to press four, PolyAI lets you say what you want and works it out.

What it does

  • Natural voice conversation replacing menu trees
  • Interruption handling and natural turn-taking
  • Integration with contact centre platforms
  • Multilingual voice support
  • Backend system lookups mid-call
  • Call analytics and containment reporting
More detail on how it works

It is a London-founded enterprise product with substantial funding, sold to large contact centres through a sales process. There is no self-serve path and no published pricing.

Turn-taking and interruption

The unglamorous engineering that decides whether voice AI feels usable. Barge-in, silence handling and recovery from a customer talking over the agent get little attention in evaluations and drive most of the frustration in deployment. PolyAI's work here is a genuine strength.

Backend lookups mid-call

Checking an account or booking while speaking, which is what separates a voice agent from a spoken FAQ. Requires integration work on your side.

Multilingual voice

Harder than multilingual chat because accent and speech recognition compound the difficulty. Test your actual caller base rather than the demo audio.

Setting PolyAI up

Realistic time to a working deployment: Weeks. These are the standard steps for this category. We have not published a walkthrough specific to this tool yet.

  1. 01

    Scope the calls you are automating

    One or two intents, not the whole queue. Voice failure is far more visible to customers than chat failure.

  2. 02

    Provision numbers and routing

    Port a number or forward from your existing system. Carrier work, and the step with actual lead times.

  3. 03

    Build the conversation flows

    Voice needs tighter scripting than chat because there is no scroll-back and no visible menu.

  4. 04

    Connect backend systems

    Order, account or appointment lookups. Same engineering work as chat, less tolerance for latency.

  5. 05

    Tune interruption and silence handling

    Barge-in, timeouts and turn-taking. Gets the least attention in evaluation and drives the most customer frustration.

  6. 06

    Test on real accents and real noise

    Not the demo audio. Your actual callers, on phones, in cars.

  7. 07

    Keep a fast route to a human

    A voice agent with no obvious escape is the fastest way to lose a customer.

The step that takes longer than they imply. Telephony. Numbers, carrier routing and IVR replacement are infrastructure changes with real lead times, not a settings page.

What the AI actually does

Every platform here says “AI agent”. It covers a bot that reads your help centre and a system that can refund a customer. This is which one you are buying.

Acts on your systems

How PolyAI sells it: "the world's most lifelike voice AI agents", built for complexity rather than for deflection.

It runs its own model, Raven, trained on over a billion enterprise conversations — which is a different bet from the platforms wrapping a general-purpose LLM, and the reason it competes on how the call sounds.

  • Completes transactions on the phone rather than routing them: authentication, account management, billing and payments, bookings and reservations, order management, troubleshooting
  • Raven is a proprietary model trained on 1bn+ enterprise conversations, so the voice quality is the product rather than a wrapper setting
  • Connects to telephony and CRM so the agent can read customer data and act during the call
  • Multilingual, with published examples down to less common languages rather than the usual big five
  • Fogo de Chão is reported as on track for just over $7M in incremental revenue — a sales number rather than a deflection one, which is unusual in this category

Who Should Use It

The second list is the more useful one.

Enterprises with heavy phone volume

Thousands of calls a day where a menu tree currently handles the routing badly.

Businesses with high-frequency simple calls

Booking changes, balance enquiries, appointment scheduling. Repetitive, verifiable and well suited to voice automation.

Teams replacing a hated IVR

The customer experience improvement is real and measurable in abandonment rates.

Who should look elsewhere. Small and mid-market businesses. Voice deployment is weeks of telephony work with enterprise pricing attached, and below serious call volume the arithmetic does not close. Also wrong for emotionally difficult calls, where voice AI is at its weakest and the cost of failure is highest.

Strengths and Weaknesses

What Works

  • Genuinely good conversational voice, particularly interruption and turn-taking
  • Strong enterprise integrations
  • Replaces something customers actively dislike, so the experience gain is real

What Does Not

  • No published pricing
  • Enterprise-only economics
  • Telephony deployment with real lead times
  • Voice failure is more visible to customers than chat failure

PolyAI pricing

PolyAI does not publish pricing. Expect enterprise quotes based on call volume and integration scope.

The business case is usually clear at enterprise scale: compare against your cost per handled call, which for offshore voice support is often measured in dollars rather than cents. Voice is the most expensive support channel, so automation has the most room.

The full arithmetic

Ask what happens on a failed containment — whether you pay for a call the agent could not handle and transferred. At high volume that clause matters more than the headline rate.

Custom and private pricing

PolyAI does not publish a rate. You have to ask, which means a sales conversation before you can compare it against anything else on this site.

Contact sales  ↗

Ask two things on that call: what triggers a billable event, and what the rate is at twice your current volume.

INTEGRATIONS

GenesysAmazon ConnectNICE CXoneTwilioSalesforceServiceNowCustom APIs

Our Recommendation

Who we would tell to buy this, and who we would not.

PolyAI is a strong product aimed at a genuinely bad incumbent. If you run a large contact centre where an IVR tree currently mishandles routing and callers abandon in frustration, a voice agent that understands open speech is a real improvement and the business case against per-call cost is usually straightforward. The constraints are structural: enterprise pricing you cannot check, weeks of telephony work, and the fact that voice failure is far more visible than chat failure. Keep a fast route to a human, and test on your real callers rather than the demo audio.

Where we write about PolyAI

5 pieces on this site name it.

Frequently Asked

The questions people actually search for about PolyAI.

What does PolyAI do?

Replaces phone menu trees with a voice agent that handles open speech, interruptions and mid-call system lookups.

How much does PolyAI cost?

Not published. Enterprise quotes based on call volume and integration scope.

Is PolyAI better than an IVR?

For customer experience, clearly — callers say what they want rather than navigating a tree. The cost only works at genuine enterprise volume.

How long does PolyAI take to deploy?

Weeks. Telephony work, number routing and backend integration are infrastructure changes with real lead times, not settings.

Can PolyAI handle multiple languages?

Yes, though voice is harder than chat because accent and recognition compound. Test your actual caller base, not the demo.

Is PolyAI good for small businesses?

No. Enterprise pricing and weeks of deployment mean the arithmetic does not close below serious call volume.

What are the main PolyAI alternatives?

Parloa for European contact centres, Replicant for high-volume repetitive calls, Sierra for voice and chat from one agent, or the voice layers in NICE CXone and Genesys.