Poly AI pricing starts at around $150,000 per year, which is a typical ballpark number for enterprise contact centers. But that merely scratches the surface of how much Poly AI’s voice agents will cost you. Thanks to its pricing model based on usage, no two businesses will pay the same.
Here is how much you’ll typically pay for Poly AI and what influences that number.
Get the better Poly AI alternative for enterprise voice AI use cases. Book a free demo with Quiq today.
Poly AI has a usage-based pricing model
PolyAI pricing follows a usage-based model, with ongoing voice automation charged per minute. However, the company does not publish exact rates or standard packages on its website, so enterprise teams need to contact sales for a custom quote.
The final price is likely to reflect call volume and the scope of the deployment, including the voice agents and natural language understanding capabilities required. This makes it difficult to estimate costs before speaking with the PolyAI sales team.
What affects PolyAI pricing?
PolyAI does not publish a standard per-minute rate or a fixed enterprise plan. Their website only confirms that ongoing voice agent usage is charged per minute, so the final quote will depend on how the company plans to use the AI platform.
Call volume and conversation length
Call volume has the most direct effect on recurring PolyAI pricing. Since usage is billed per minute, a business receiving more calls will consume more billable minutes. Longer customer conversations will also raise monthly usage, even when the number of calls stays the same.
Enterprise teams should review historical call data before requesting a quote. Monthly minutes provide a more useful estimate than the number of calls alone, particularly when call duration changes across departments or seasons.
Estimating peak demand is also important. An enterprise voice AI platform may handle sudden increases without requiring additional human agents, but those extra conversations still add to usage. Businesses that need predictable costs should ask whether the quote includes committed minute volumes, usage tiers, or different rates once certain thresholds are reached.
Inbound and outbound calls
The direction of the calls may influence the deployment scope. Many PolyAI use cases focus on inbound customer service, but the platform also supports outbound calls for appointment reminders, customer notifications, and other proactive communication. Outbound calling must be enabled for the project and requires a configured connector.
A company using both inbound and outbound calls may generate substantially more monthly minutes than one that only automates incoming demand. Outbound campaigns can also create uneven usage patterns, making costs harder to forecast from normal contact center activity.
Buyers should ask whether inbound and outbound calls use the same per-minute rate. PolyAI does not publish enough pricing information to confirm whether separate commercial terms apply.
Number and complexity of use cases
A simple voice agent that answers common questions will usually require less configuration than one that completes transactions or handles several customer journeys. PolyAI supports conversation flows for bookings, identity checks, information collection, payments, and live agent transfers.
Each additional use case can add new conversation logic and testing requirements. It may also require more ways to recover when the caller provides incomplete information or asks something outside the expected flow.
This operational complexity could influence the initial quote even if recurring usage is still billed by the minute. Companies should define which tasks need to be available at launch and which ones can be introduced later.
Integrations with existing systems
PolyAI can connect with contact center platforms and CRM tools. It also supports payment systems and external knowledge sources. These connections allow voice agents to retrieve customer information, create tickets, and complete actions during a call.
The amount of integration work varies by deployment. Several voice integrations can be connected through Agent Studio, while custom SIP configurations and some managed integrations require coordination with a PolyAI account manager.
An enterprise deployment that uses custom APIs or older internal systems may require more implementation work. Buyers should ask whether this work is included in the contract or priced separately, as it can have a major effect on the first year cost.
Size of the enterprise deployment
Deployment scope covers more than the number of voice agents. A company may need separate configurations for different business units or customer groups. It may also need several testing and production environments.
PolyAI supports a deployment process that moves agents from sandbox testing into live use. Environments can have their own phone numbers and configurations, which can add work when the project covers several call centers or markets.
A wider rollout can require more testing and internal coordination. It may also involve additional routing rules and reporting requirements. These factors can raise operational complexity before the company begins paying for regular call usage.
AI models and ongoing platform services
PolyAI combines speech recognition and language processing with voice generation to manage customer conversations. Its platform documentation describes a process that converts speech into text, uses an LLM to generate a response, then turns that response back into speech.
PolyAI states that its per-minute pricing includes maintenance and ongoing performance improvements. It also includes 24/7 support, platform upgrades, monitoring, and a 99.9 percent service level agreement.
The company does not explain whether different AI models or advanced configuration options affect the rate. Enterprise teams should confirm which models and support services are included in the quote, rather than assuming every capability comes under the base usage charge.
Contract terms and cost visibility
The lack of published rates limits cost visibility before the sales process begins. Two companies with similar call volume could receive different quotes if their deployment requirements and integration needs differ.
Buyers should request a clear breakdown of recurring usage charges and implementation costs. The proposal should also explain minimum commitments and charges for exceeding the agreed usage level.
Without these details, comparing PolyAI with another conversational AI provider can be difficult. Predictable costs depend on receiving clear commercial terms from the sales team, since the public pricing page does not provide enough information to calculate a realistic monthly total.
What’s included in all plans?
PolyAI does not publish named subscription tiers, but its pricing page lists several services included in every customer plan. These cover support, security, system monitoring, platform upgrades, and service availability. The exact cost remains subject to custom pricing based on usage and deployment requirements.
Customer support
Every PolyAI plan includes access to a web ticket portal and a 24/7/365 emergency support phone line. This gives enterprise teams a way to report routine platform issues and request urgent help when voice assistants experience problems during live calls.
PolyAI also states that ongoing maintenance is included in its per-minute usage price. However, the company does not explain whether every support request is covered or whether some professional services are billed separately.
Security and compliance
PolyAI includes data security controls, continuous infrastructure coverage, compliance certificates, and regular audits and testing across all plans. These protections are relevant when AI agents handle payments, account information, or other sensitive customer data.
The public pricing page does not provide a plan-level breakdown of individual certifications. Buyers may need to confirm which security requirements are covered during the sales process.
A 99.9% uptime SLA
All plans include a 99.9% service level agreement for phone line uptime. This commitment is important for companies using PolyAI to answer inbound calls outside normal contact center hours or manage periods of high demand.
Companies should still review the full agreement before signing. The public page does not explain how downtime is measured or what compensation applies when the service level is missed.
Also, 99.9% may sound impressive, but once you translate it to real-world use cases, it means 3.65 days of downtime per year.
Monitoring and performance improvements
PolyAI includes system monitoring and ongoing performance work in every plan. Its pricing page says the company monitors the service for maintenance and system performance, while the per-minute charge includes proactive improvements.
This means customers are not simply purchasing access to static voice assistants. PolyAI continues working on the performance of deployed AI agents, although the website does not explain how often each agent receives individual review.
Platform and technology upgrades
Customers receive access to new system features as PolyAI updates its platform. PolyAI also states that every plan includes an evolving technology stack intended to maintain platform performance.
Agent Studio gives customers direct control over several parts of the deployment. Teams can configure knowledge, conversation flows, voice settings, testing, and system integrations through its visual interface.
Access to PolyAI integrations
PolyAI can connect with telephony providers, CRM platforms, payment services, and knowledge systems. Supported connections allow agents to route calls, transfer customers, retrieve records, and complete tasks during conversations.
However, the pricing page does not state that every available integration is included at no additional charge. Custom development or complex system integrations may affect the quote, so buyers should confirm what is covered before agreeing to a contract.
Voice cloning may cost extra
Voice cloning is available to enterprise customers that want an exclusive synthetic voice based on recordings from a chosen speaker. PolyAI says customers must commission this service through their account representative, which suggests it may not be part of the standard services included in all plans.
Companies interested in a custom voice should ask whether recording support, voice creation, and future adjustments are covered by the original quote. Since PolyAI only provides custom pricing, the additional cost is not publicly available.
Why PolyAI pricing might not work for your organization
PolyAI is designed for large contact centers that need advanced voice automation across many customer journeys. Its pricing can make sense when the platform handles enough valuable conversations to offset the investment. However, some organizations may struggle to build a convincing business case once usage, implementation, and ongoing management are included.
High call volume can produce a large recurring bill
PolyAI charges for ongoing usage by the minute.
This means high call volume can lead to a substantial monthly bill, even when the agent is handling routine calls that require little decision-making. Longer conversations will also raise usage because pricing is tied to minutes rather than completed outcomes.
Usage-based billing can work well when every automated call replaces a meaningful amount of contact center work. It becomes less attractive when callers frequently repeat themselves, spend time waiting for system responses, or need to be transferred to a human agent.
You should compare the expected PolyAI bill with the cost of handling the same call volume through your existing team. The calculation should account for containment rates and average call duration. You should also consider how many conversations reach a successful outcome without human assistance.
Routine calls may not require advanced conversational quality in your contact center
PolyAI places considerable emphasis on natural conversations, proprietary speech technology, and its Raven language model. The platform is built to understand callers and respond while following business rules.
This level of conversational quality can be valuable for complicated service requests or emotionally sensitive conversations. However, teams that mainly automate routine calls may not need the same technical depth.
A basic request such as checking business hours or confirming an appointment can often be handled by a simpler voice system. Paying for an enterprise platform may be difficult to justify when most interactions follow a short and predictable script.
Before choosing PolyAI, teams should identify how many calls genuinely require advanced language understanding. If the majority involve simple questions, the total cost may outweigh the benefit of a more natural voice experience.
The implementation may be too demanding for mid-market teams
PolyAI provides a visual interface for configuring agents, conversation flows, knowledge, voices, and integrations. The platform also supports custom code and APIs for more advanced deployments.
These capabilities give enterprise teams plenty of control, but they also introduce work. A production deployment may require input from contact center leaders and technical staff. It may also require ongoing review from conversation designers and compliance teams.
Mid-market teams may not have enough internal resources to manage this process comfortably. Even when PolyAI provides implementation support, the customer still needs to define call flows, approve responses, test edge cases, and coordinate access to internal systems.
The implementation burden can be difficult to justify when a company only wants to automate one narrow call type. A lighter platform may offer a faster path to launch with fewer internal dependencies.
System integrations can expand the total cost
PolyAI can connect with telephony providers, CRM platforms, payment services, and knowledge systems. It also supports custom connections through APIs and Python functions.
These connections are often required for useful call handling. An agent may need to identify a customer or update an account. It may also need to process a payment or transfer the caller with the correct context.
Integration work can increase the total cost beyond voice usage. Older systems may require custom development, security reviews, or changes to existing processes. Some managed integrations also require PolyAI to complete the setup rather than allowing customers to configure everything independently.
Organizations should account for internal development hours and testing when comparing proposals. They should also consider future maintenance whenever an integrated system or API changes.
Strong call handling does not guarantee measurable outcomes
Successful call handling is only one part of the business case. A voice agent can answer the caller correctly but still fail to produce measurable outcomes if customers frequently request human assistance or abandon the call before completing their task.
Teams should define what success looks like before deployment. Useful measurements may include completed bookings and resolved requests. They may also include lower transfer rates or improved customer satisfaction.
PolyAI includes tools for reviewing conversations and tracking agent performance. Its platform also supports dashboards and call data exports for further analysis.
However, organizations still need enough internal capacity to review these results and improve the agent. Without continued analysis, poor flows can consume additional minutes without creating proportional value.
PolyAI may be difficult to justify for a narrow deployment
PolyAI is primarily positioned as an enterprise platform that can support several use cases and connect with existing contact center infrastructure.
That scope may be excessive for a company that only needs after-hours coverage or basic call routing. It can also be hard to justify when call volume is low, and the organization has no plans to expand automation into additional departments.
PolyAI pricing is more likely to work when the organization can apply the technology across a meaningful share of customer conversations. Companies with narrow requirements should compare the expected benefits with simpler Poly AI alternatives before committing to an enterprise deployment.
Why Quiq is the better option for agentic AI in your business
PolyAI is built primarily around voice automation, while Quiq covers the wider customer journey. Quiq connects AI agents with human support across voice and digital channels, allowing large enterprises to manage more customer interactions through one platform.
One platform for AI and human agents
Quiq supports customer-facing AI Agents across voice, SMS, chat, WhatsApp, and other digital channels. AI Assistants provide human agents with guidance when a conversation requires escalation.
We also include AI Services that execute actions across connected business systems. Conversation Analysts review interactions and measure results against custom customer experience metrics. Companies can manage more of their agentic AI strategy without combining several disconnected products.
Conversation context carries across channels
Quiq maintains conversation context when a customer moves between channels or transfers from an AI agent to a human employee. Customers do not need to repeat account details or explain the same issue again after an escalation.
This continuity is useful when a conversation begins with voice and continues through messaging. It also gives human agents access to the information collected by the AI, allowing them to continue from the same point instead of restarting the interaction.
AI agents reflect your brand voice
Quiq lets businesses teach AI agents their processes and brand voice through natural language Process Guides. You’re not restricted to generic scripts or rigid templates that produce similar responses across every organization.
You can define how the agent should communicate and when it should escalate, as well as set the actions it may perform. This gives you more control over how agentic AI represents the brand during customer conversations.
Transparent usage-based pricing
Quiq uses transparent usage-based pricing tied primarily to conversation volume. Annual usage pools are purchased in advance, while automated resolutions and selected premium features may carry additional charges.
The final quote is still customized, but the pricing structure is easier to connect with business activity than a model based only on call minutes. A completed customer conversation has a clearer relationship with the work performed than the amount of time a caller spends speaking.
This also reduces the incentive to shorten conversations purely to limit usage charges. You can focus on whether the AI agent resolved the request rather than tracking every additional minute.
Greater visibility into agent decisions
Quiq’s Verified Intelligence gives you visibility into how AI agents reach decisions and which information they use. Administrators can inspect agent logic, test responses in simulations, and apply verification checks before making changes available to customers.
This level of visibility helps companies identify why an agent produced an incorrect response. It also gives internal teams more direct control over optimization instead of requiring every adjustment to pass through the vendor.
Designed for large enterprises
Quiq primarily serves large enterprises with high volumes of customer interactions. Our customers span across retail, travel, financial services, and other consumer industries.
Quiq supports major CRM systems and API connections. We provide security controls for organizations operating in regulated industries. This allows companies to introduce agentic AI without replacing the systems their service teams already use.
More flexibility beyond voice
PolyAI may remain a good choice when natural voice conversations are the main requirement. Quiq is the better option when the organization needs AI to manage the full journey across voice and digital channels.
The platform supports customer-facing AI agents and human support from the same environment. It also keeps context connected as the customer changes channels. This gives businesses more room to expand their agentic AI strategy without purchasing a separate product for each part of the customer experience.
Book a free demo with Quiq today to find out why we’re the best Poly AI alternative for enterprise teams.
