11 Poly AI Alternatives for Voice AI in 2026

PolyAI is well known for natural-sounding enterprise voice agents, but voice quality is only one part of a successful customer service operation. Its managed approach may feel restrictive for teams that need broader channel coverage, clearer visibility into agent decisions, or more control over how agents connect with internal systems.

The best PolyAI alternatives range from accessible voice agent builders to full contact center platforms. This guide compares their main capabilities and ideal users, while explaining why Quiq is the top choice for enterprises that want connected automation across voice and digital customer journeys.

TL;DR

1. Quiq: Best for enterprise brands that want connected AI across voice and digital channels, full control and transparency with Verified Intelligence, and continuous customer context.
2. Kore.ai: Best for enterprises that need detailed control over conversational workflows and broader contact center automation.
3. Yellow.ai: Best for global service teams managing multilingual automation across voice and chat channels.
4. NiCE Cognigy: Best for large contact centers that want visual agent design and a choice of speech providers.
5. Vapi AI: Best for developers building programmable voice products with control over models and telephony.
6. Synthflow: Best for mid-sized businesses that want an accessible visual builder with advanced API options.
7. Retell AI: Best for teams building custom voice and web chat agents with flexible testing tools.
8. Replicant: Best for enterprise service teams that want nontechnical operations staff to manage contact center automation.
9. Goodcall: Best for local service businesses that need a simple phone receptionist with appointment booking.
10. Bland AI: Best for technical teams running large inbound and outbound calling programs.
11. Genesys: Best for organizations that want virtual agents inside a complete cloud contact center platform.

Get the better Poly AI alternative for enterprise voice AI. Book a free demo with Quiq today.

Why look for PolyAI alternatives for conversational AI?

PolyAI is widely praised for its natural voice quality, and its G2 profile currently holds a perfect rating across 12 reviews and a 4.5/5 rating on Gartner.

However, strong voice performance does not automatically mean the platform covers every part of enterprise customer service. Teams may still compare PolyAI alternatives when they need broader automation, more digital channels, or clearer insight into agent decisions.

Limited AI footprint

PolyAI mainly focuses on customer facing AI Agents that answer and resolve requests through conversation. That covers an important part of customer service, but it leaves other areas of the operation dependent on separate tools.

Compare this to a platform like Quiq, which provides four connected types of AI. AI Agents work directly with customers, AI Services execute backend workflows, AI Assistants support human representatives, and AI Analysts grade conversations. Each capability uses the same data and integrations, so improvements made in one part of the platform can support the others.

This wider scope allows companies to apply what the platform learns across automated service and human support. PolyAI may be enough when voice automation is the main goal, but it provides a narrower foundation for companies planning to use AI throughout the customer journey.

Limited channel reach

PolyAI was built around enterprise voice assistants, and voice remains central to its product positioning. Its own G2 description focuses on natural phone conversations for banks, hotels, insurers, restaurants, retailers, and telecommunications companies.

This focus can become limiting when customers expect to communicate through WhatsApp, Apple Messages for Business, SMS, or email. A company will need separate platforms for these channels, creating disconnected conversations and making it harder to retain context when a customer moves from messaging to a phone call.

Complex deployment can delay time to value

PolyAI is designed for large enterprise deployments, but that can mean a longer setup process when workflows involve several systems or unusual business rules. One Gartner reviewer said that implementation and customization can require “significant effort for complex enterprise use cases,” while another reported that setup and training required considerable work.

This may be reasonable for those launching a major voice automation program. However, teams that want to test smaller use cases quickly may prefer an alternative with a more accessible setup process and stronger internal configuration tools.

Premium pricing can make smaller use cases difficult to justify

Several Gartner reviewers describe PolyAI as a premium product. One reviewer said that Poly AI pricing made the platform harder to justify for smaller, low-volume workflows, even though its voice performance was strong.

Another customer said the overall cost made certain workflows difficult to justify and suggested that PolyAI appeared more interested in expanding usage than improving existing performance. The same reviewer also mentioned limited visibility into implementation timelines and inconsistent response times.

Developer teams may have limited self-service control

PolyAI manages much of the dialogue design and configuration process for its customers. This can reduce the technical burden on internal teams, but developers may have fewer opportunities to experiment with prompts or make small changes independently.

One Gartner reviewer said PolyAI provides “less flexibility for any developers who want to tweak things,” due to its in-house dialogue setup. Another pointed to the lack of an open testing environment for rapid prompt experimentation.

Companies with experienced conversational designers or engineering teams may prefer a PolyAI alternative that gives them direct access to prompts, agent logic, testing environments, and deployment controls.

Advanced integrations may require continued vendor support

PolyAI can connect with CRM platforms and enterprise systems, but more difficult integrations may still require direct help from the vendor. A Gartner reviewer said that connecting the platform with legacy databases often required high-touch technical assistance from PolyAI’s engineering team.

This creates an ongoing dependency when internal systems change or a new workflow must be added. Companies that want their own developers to manage integrations may prefer a platform with clearer APIs and more accessible configuration options.

API complexity can create integration friction

PolyAI may be less appealing to companies that want to build heavily customized integrations through APIs. One Gartner reviewer praised the platform’s interface and scalability but described its APIs simply as “difficult.”

API friction can become a bigger concern when voice agents need to access several internal systems during a conversation. Teams may compare PolyAI alternatives that provide clearer documentation, more flexible function calling, and easier testing for external actions.

Changes may take longer than internal teams expect

A managed service can be helpful during implementation, but it may slow teams down once the voice assistant is live. One Gartner reviewer said changes to the assistant sometimes took longer than expected. Another mentioned slow implementation timelines for updates and limited visibility into when changes would be completed.

This can frustrate companies that regularly update policies or service processes. Alternatives with stronger self-service tools can give operations teams more direct control over everyday changes.

Rare requests and edge cases still require additional tuning

PolyAI receives strong reviews for natural conversations, interruption handling, and voice quality. However, reviewers still report difficulties with unusual customer requests and niche edge cases.

One Gartner customer said the platform can struggle with unusual requests, especially when workflows are complex. Another explained that fine-tuning rare scenarios could take additional time after deployment.

Companies should therefore compare how each platform tests failure scenarios and manages exceptions before choosing a voice AI provider.

Call handoffs may not cover every fallback scenario

Human handoff is an important part of voice automation, particularly when an agent cannot complete a request. One PolyAI reviewer reported that the platform could not return to the automated flow when a transferred call was not answered by the intended location. This made it harder to assess the request further or recover the interaction.

Businesses with complex routing requirements may need to examine whether PolyAI supports the fallback logic required for unanswered transfers and other failed handoff scenarios.

Brittle conversational logic and limited observability tools

PolyAI can deliver polished conversations, but teams may have less visibility into how its agents reach particular decisions. Its managed service model can also leave customers dependent on the vendor when they need to inspect behavior or make changes, which can create a black box feeling.

Path-dependent conversational logic can become difficult to maintain as use cases grow. When an agent loses awareness of an earlier step, the team may only see the incorrect final response rather than the decision process that produced it. Testing the output alone makes it harder to identify whether the problem came from the instructions, knowledge source, business rules, or an integration.

With this limited testing environment, it can be difficult to feel confident in your changes before hitting publish.

Performance and analytics may need improvement

Most PolyAI reviews on G2 are highly positive, especially about its voice quality and implementation support. Still, a small number of reviewers mention slow performance, delays when initiating commands, and a desire for deeper voice analytics.

One reviewer said the platform was “slow at times,” while another wished it offered “voice analytics” for better analysis of customer requests. Another enterprise reviewer noted that some complex scenarios may present challenges.

These concerns may become more noticeable in large deployments where teams need quick responses and detailed insight into every interaction. Companies that want automated quality management across both human and AI conversations may prefer a platform that analyzes all interactions and supports custom service metrics.

The best PolyAI alternatives for AI voice agents in 2026

The best PolyAI alternative depends on whether you need a focused voice agent, a broader contact center platform, or one system that connects AI and human support across channels. The options below cover enterprise platforms, developer tools, and simpler builders, starting with Quiq as the strongest choice for companies that want transparent, connected customer service automation.

1. Quiq

Quiq is an agentic customer journey platform for enterprise brands that want customer service automation across voice and digital channels. It is built for high-volume service teams that need AI Agents to resolve customer requests, work alongside human agents, and retain context throughout the customer journey.

Key features

• Natural language Process Guides: Teams can teach AI Agents their service procedures, brand rules, and escalation requirements using readable instructions rather than rigid conversation trees. Process Guides also support human agents with contextual guidance and guardrails during live interactions.
• Verified Intelligence: Quiq can verify agent decisions and claims separately instead of relying on the language model to check its own work. Teams also get clear visibility into the information used and the actions taken during each resolution.
• Continuous conversation context: One conversation thread follows the customer across voice, SMS, chat, WhatsApp, and human escalation. Customers can even exchange text during a voice call or switch channels without repeating their request.
• Actions across business systems: Quiq agents can use customer data and connected APIs to complete tasks such as rebooking travel, processing returns, updating account information, or delivering personalized recommendations. The interaction can move to a human agent with its history and context intact when judgment is required.
• AI Conversation Analysts: Quiq analyzes every interaction handled by human and AI agents, rather than reviewing a small call sample. It can measure CSAT, CES, first contact resolution, or custom metrics, then trigger actions such as training alerts or churn risk updates.

Quiq is a good PolyAI alternative for enterprises that want more visibility and control than a managed, voice first deployment may provide. PolyAI is known for natural voice experiences, but its dependence on managed changes can feel like a black box, while Quiq combines voice and digital service with visible decision logic, configurable workflows, and ongoing context between AI and human agents.

Quiq pricing starts at $20,000 for a 90-day packaged digital pilot, with the payment applied to the contract when the customer continues. Ongoing pricing is custom and usage-based, while broader adoption commonly begins in the low six figures depending on usage and selected capabilities.

Book a free demo to find out how Quiq can improve your customer satisfaction.

2. Kore AI

Kore.ai is an enterprise conversational AI platform built for organizations that want to automate customer service across voice and digital channels. It is mainly designed for large contact centers that need detailed control over conversation design, integrations, security, and deployment.

Key features

• Kore.ai Voice Gateway: Connects virtual agents with existing telephony and contact center systems through SIP, while supporting live transfers when a conversation needs human help.
• Experience flows and dialog tasks: Lets teams build structured conversations that collect customer information, trigger actions in other systems, and complete service requests from start to finish.
• Multimodal orchestration: Allows enterprises to use different language models for different tasks while applying their own rules for accuracy, security, and response behavior.
• Agent AI: Gives human agents suggested replies, conversation summaries, knowledge recommendations, and guided steps during live customer interactions.
• Quality AI: Reviews voice and chat conversations, scores performance, and highlights coaching opportunities across contact center teams.

Kore.ai is a good PolyAI alternative for enterprises that need more than voice automation. It also covers digital self-service, agent assistance, quality management, and broader contact center operations, giving companies more control over how automation fits into their service setup.

Kore AI pricing is custom. Kore does not publish plan rates and directs prospective customers to request a demo or speak with its sales team, so pricing transparency is limited. The lack of transparent pricing is one of the main reasons why businesses look at Kore AI alternatives.

3. Yellow AI

Yellow.ai is an enterprise customer service automation platform for companies that want to manage conversations across voice and chat channels from one system. Its voice AI platform is designed for contact centers that need to deploy voice agents for inbound support, outbound campaigns, and multilingual customer interactions.

Key features

• Automatic language detection: Yellow.ai voice agents can recognize the language a caller is speaking and respond in that language without requiring the customer to select it from a menu.
• Outbound voice campaign workflows: Teams can create automated calling campaigns with defined entry rules, conversation flows, and follow-up actions across channels such as SMS and email.
• WebRTC voice testing: Developers can test voice conversations directly in a browser before connecting phone numbers or external telephony systems.
• Telephony and call management: The platform supports call initiation, forwarding, waiting, and transfers through a telephony layer connected to Yellow.ai’s conversation engine.
• Enterprise system integrations: Yellow.ai offers more than 150 prebuilt integrations for platforms such as Salesforce, SAP, Oracle, Workday, ServiceNow, and Jira.

Yellow.ai is a good PolyAI alternative for businesses that want voice automation as part of a broader customer service platform. While PolyAI is closely associated with enterprise phone conversations, Yellow.ai gives teams one place to build and manage agents across voice, chat, email, and messaging.

Yellow AI pricing starts at $0 for one agent and 500 chat sessions per month, after which each resolution costs $0.99. Enterprise pricing is custom and covers unlimited agents, higher usage, and access to all supported channels.

4. Cognigy

NiCE Cognigy is an enterprise voice AI platform for large contact centers that need configurable automation across voice and digital channels. It is aimed at organizations that want to create human-like conversations while retaining close control over conversation logic, speech technology, knowledge sources, and agent handovers.

Key features

• Cognigy Voice Gateway: Connects AI agents to phone numbers and existing contact center infrastructure. Teams can select speech recognition and voice providers from companies such as Microsoft, Google, AWS, and Nuance, rather than being tied to one speech stack.
• Visual AI Agent Studio: Conversation designers can build call flows through a node-based editor that maps prompts, decisions, system actions, and escalation paths. Developers can also add custom JavaScript or TypeScript when the visual tools are not enough.
• Agent Copilot sentiment monitoring: Cognigy performs customer sentiment analysis during live interactions and displays the caller’s emotional tone to human agents. This can help agents adjust their responses when frustration or confusion begins to rise.
• Knowledge AI: AI agents can retrieve information from company articles, manuals, FAQs, and other approved sources before generating an answer. This gives teams a controlled way to use company knowledge during customer conversations.
• Configurable human handovers: Teams can define when an automated conversation should move to a human agent and connect those flows with platforms such as NiCE CXone, Genesys Cloud, Salesforce, and 8×8. The flow can pause during the transfer and continue after the human interaction finishes.

NiCE Cognigy is a good PolyAI alternative for enterprises that want deeper control over how voice agents are designed and connected to their contact center systems. Its combination of visual flow building, agent assistance, and sentiment monitoring can also help companies enhance customer engagement beyond fully automated phone calls.

NiCE Cognigy pricing is custom. The company does not publish plan rates or a free tier on its website, requiring businesses to arrange a demo for exact pricing.

5. Vapi AI

Vapi AI is a developer-focused platform for building voice agents that make and receive phone calls. It is primarily intended for product and engineering teams creating custom voice applications or AI powered call centers, including those in telecommunications and financial services that need close control over their technical stack.

Key features

• Configurable voice pipeline: Teams can select separate providers for transcription, language models, and speech generation. They can also connect their own model server instead of relying on a fixed combination chosen by Vapi.
• Squads with specialist agents: Vapi lets businesses divide complex calls among several assistants. One agent can identify the caller’s request before handing the conversation to another agent built for booking, qualification, or support.
• Visual workflow builder: The no-code builder supports branching conversation flows, variable collection, and transfers to human representatives. Teams can pass a message or call summary to the person receiving the transfer.
• Reusable tools and call actions: Assistants can transfer calls, send text messages, enter keypad digits, access external data, and trigger actions through company APIs. Custom tools can be created through the dashboard and reused across multiple assistants.
• Voice agent testing and monitoring: Vapi can run simulated phone conversations against predefined scenarios, then track call quality and flag problems when configured thresholds are crossed.

Vapi is a good PolyAI alternative for technical teams that want more freedom to choose their models, voices, telephony providers, and backend integrations. Unlike broader AI chat platforms, it is built around programmable voice infrastructure, giving developers more room to create custom call experiences rather than adopting a largely predefined enterprise solution.

Vapi AI pricing starts at $0.05 per call minute on the Build plan, while model provider costs are billed separately. There is no fixed platform fee for Build, while the Scale plan uses custom annual pricing based on volume.

6. Synthflow

Synthflow is a voice automation platform that lets businesses build agents for inbound calls, outbound campaigns, appointment scheduling, and customer support. It is aimed at mid-sized businesses and enterprise teams that want non-technical users to manage agents visually, while still giving technical teams developer control through APIs and custom actions.

Key features

• Flow Designer and Prompt Builder: Teams can choose between structured conversation flows with nodes and conditional branches or a flexible prompt-based agent. Both approaches work for voice and chat, helping companies manage customer interactions across multiple channels.
• Built in telephony infrastructure: Synthflow operates its own telephony layer, which is designed for low latency and can connect with an existing SIP or PBX setup. Companies can also use inbound and outbound calling without replacing their current phone infrastructure.
• Custom actions during live calls: Agents can make HTTP requests while speaking with a customer, allowing them to check order details, create CRM records, or trigger workflows in existing systems. This gives technical teams more developer control without forcing business users to write code.
• Advanced call transfers: Synthflow supports transfers to regular phone numbers, SIP endpoints, dynamic destinations, and managed phone books. Teams can configure warm transfers with summaries, recipient messages, office hour rules, and fallback destinations.
• Visual workflows and integrations: The workflow builder connects agents with CRMs, databases, scheduling tools, and external APIs before or after a call. Native integrations, Zapier connections, and webhooks provide seamless integration with existing systems.

Synthflow is a good PolyAI alternative for companies that want a more accessible way to create and adjust voice agents internally. PolyAI is generally positioned for large contact center deployments, while Synthflow gives mid-sized businesses a visual builder, flexible telephony options, and API access within the same platform.

Synthflow pricing starts at $30,000 annually for an enterprise contract. Final pricing is custom and depends on call volume, concurrency, telephony requirements, integrations, and launch support.

7. Retell AI

Retell AI is a platform for building custom AI agents that handle inbound and outbound phone calls, with additional support for web chat and browser-based voice conversations. It is designed for businesses and development teams that want direct control over agent behavior, telephony, integrations, testing, and deployment.

Key features

• Conversation Flow: Retell provides a drag-and-drop interface with separate nodes for dialogue, conditional logic, API actions, code, and call transfers. Teams can also package sections of a flow into reusable components for use across several agents.
• Prompt-based agent configuration: Teams can define an agent’s personality, goals, boundaries, and transfer conditions through natural language instructions. Retell supports both simpler single-prompt agents and multi-prompt setups that divide longer conversations into controlled stages.
• Retell Website Widget: Businesses can place chat, live browser voice, and callback options on their website through one customizable widget. The same agent logic can support both phone conversations and web chat.
• Function calling: Retell agents can book appointments, check availability, send text messages, update orders, access external APIs, and transfer callers to human representatives during a conversation.
• Knowledge retrieval and automated testing: Agents can reference approved websites and documents when answering complex customer inquiries. Teams can then review transcripts, test predefined scenarios, and inspect quality results to find failures before or after deployment.

Retell AI is a good PolyAI alternative for teams that want to create, test, and modify their own voice agents through a mix of visual tools and APIs. It offers more direct control over custom AI agents and supports website interactions alongside phone calls, while PolyAI is generally geared toward larger, more managed contact center deployments.

Retell AI pricing starts at $0 and includes $10 in free credits. Voice agents cost between $0.07 and $0.31 per minute, while chat agents start at $0.002 per message; enterprise plans use custom volume pricing.

8. Replicant

Replicant is an enterprise contact center automation platform that supports voice, chat, and SMS interactions. It is mainly built for large service organizations that want to automate high-volume customer requests while giving non-technical teams self-service control over agent behavior and conversation updates.

Key features

• Agent Replication: Replicant analyzes conversations from a company’s top human agents, identifies the workflows and decision patterns behind successful resolutions, then turns that information into a testable agent. The platform says teams can begin testing the resulting agent within one hour.
• Premium voice experience: Replicant focuses heavily on voice quality, using realistic voices with natural pacing and minimal response delay. Its agents can handle conversations in more than 30 languages.
• No code conversation builder: Non-technical teams can build and edit agents through natural language instructions, a visual interface, and point-and-click script editing. Technical users can still add business rules and integrations when a workflow needs more control.
• Deterministic guardrails: Replicant keeps business rules and security policies outside the language model prompt. Supervisory agents review conversations as they happen to detect policy violations or inaccurate responses.
• Conversation Intelligence: The platform analyzes every interaction instead of relying on small call samples. Teams can track metrics such as CSAT and resolution rates, identify reasons for escalation, and use the findings to improve service quality across human and automated agents.

Replicant is a good PolyAI alternative for contact centers that want more self-service control over how agents are created and updated. It also supports voice alongside chat and SMS, while its agent replication and automated quality analysis give operations teams more insight into customer interactions.

Replicant pricing starts at a custom quote. The company directs buyers to its sales team and does not publish a starting rate or free plan, making it difficult to estimate costs before a consultation.

9. Goodcall

Goodcall is a phone agent platform built mainly for local service companies and smaller businesses that cannot answer every incoming call. Its conversational agents handle natural conversations, answer common questions, capture leads, and manage appointment booking without requiring a large technical team.

Key features

• Dedicated Goodcall phone numbers: Each agent receives a local phone number that can work alongside the company’s existing line. Businesses can let staff answer first or have Goodcall respond immediately and transfer selected calls.
• Operator workflow: When the agent cannot complete a request, it can transfer the caller to a chosen person or department. It can also take a message, share a useful link, or arrange a callback when human intervention is needed.
• Appointment skills: Goodcall can check availability and schedule appointments during the call. It can also help customers cancel or reschedule existing bookings, reducing the number of routine calls handled by staff.
• Teachable business knowledge: Companies can give the agent documents and specific topics to learn from. This helps it respond to detailed questions and casual chats about services, opening hours, or company policies without relying on a rigid phone menu.
• Unique caller pricing: Goodcall charges according to the number of unique customers who speak with an agent each month, rather than billing for every minute. Published plans cover smaller deployments, while companies building more than ten agents can contact Goodcall for custom pricing.

Goodcall is a good PolyAI alternative for smaller organizations that want an accessible phone receptionist rather than a large enterprise contact center project. Its setup, appointment tools, and predictable caller-based pricing are easier to adopt for businesses with straightforward call handling needs.

Goodcall pricing starts at $66 per agent per month with annual billing, or $79 with monthly billing. The Starter plan includes 100 unique customers each month, with each additional customer costing $0.50, while enterprise pricing is custom.

10. Bland AI

Bland AI is a programmable platform for companies that want to build virtual agents for inbound service and outbound calling campaigns. It is primarily aimed at technical teams and large enterprises that need to handle high call volumes while retaining control over agent logic, telephony, and deployment infrastructure.

Key features

• Conversational Pathways: Bland AI lets teams map multi-turn conversations through connected nodes, with separate instructions for each stage of the interaction. Teams can generate an initial pathway from use case descriptions, import one through JSON, or create the full flow themselves.
• Batch calling campaigns: Businesses can upload a CSV list or use the API to launch large outbound campaigns. Shared prompts and pathways can be applied across the batch, while results are tracked through a central dashboard.
• Shared memory across channels: Its multi-channel support covers voice, SMS, iMessage, and web chat. The same pathways and conversation memory carry across these channels, allowing customers to continue an interaction through different messaging apps without starting again.
• Warm transfers with agent briefings: Before transferring a caller, the virtual agent can contact a human representative and explain the customer’s request. Once the representative is ready, Bland AI joins both sides and leaves the conversation.
• Enterprise deployment controls: Enterprise plans can include SIP connectivity, messaging access, and custom code execution. Bland AI also offers self-hosted models and dedicated infrastructure for organizations with stricter security or performance requirements.

Bland AI is a good PolyAI alternative for companies that want more direct control over how their agents are built and connected to internal systems. Its programmable pathways and batch calling capabilities also make it well suited to custom outbound use cases, while PolyAI is more closely focused on managed enterprise customer service deployments.

Bland AI pricing starts with no platform fee and a usage rate of $0.14 per minute. Paid plans begin at $299 per month plus $0.12 per minute, while enterprise pricing is custom and contracted according to volume.

11. Genesys

Genesys Cloud CX is a cloud contact center platform for mid-sized and large organizations that want virtual agents, human agent tools, and customer routing in one system. It is intended for companies managing voice alongside other communication channels, especially those considering a broader replacement for their contact center software.

Key features

• Genesys Architect: Contact center managers can create voice and digital bot flows through a drag-and-drop interface. Flows can recognize customer intent, collect information, perform calculations, and route interactions without requiring every change to go through a developer.
• Native contact center routing: Virtual agents can transfer customers into Genesys queues based on language skills, availability, and routing rules. This connects automated conversations directly with the same routing system used by human agents.
• Flexible telephony deployment: Companies can use Genesys Cloud Voice or connect their current carrier through BYOC Cloud or BYOC Premises. This gives organizations several ways to retain existing SIP trunks and phone systems during migration.
• Broad digital channel coverage: Genesys supports web messaging, SMS, WhatsApp, Instagram, Facebook Messenger, and several open messaging connections. Bots and human agents can work across these channels within the same contact center environment.
• Configurable speech and language options: Teams can select different speech recognition engines and text-to-speech voices within Architect. Third-party speech services provide more choice over natural-sounding voices, while multi-language support helps organizations serve customers across different regions.

Genesys is a good PolyAI alternative for enterprises that want voice agents connected to a full contact center platform rather than deployed as a separate voice product. It may require more technical knowledge to configure, while pricing transparency becomes less clear once usage charges and AI Experience tokens are added to the published subscription prices.

Genesys pricing starts at $75 per user per month with annual billing for Genesys Cloud CX 1. Published base rates provide some pricing transparency, but AI Experience tokens and other usage charges may raise the final cost.

Get the best Poly AI alternative to increase customer satisfaction

The right PolyAI alternative depends on how much control your team wants over voice agents, which channels you need to support, and how closely automation must connect with your existing customer service systems. Some platforms focus on developer flexibility, while others provide simpler builders or full contact center software.

Quiq stands out for enterprises that want more than natural voice conversations. Its AI Agents can resolve customer requests across voice and digital channels, take action in connected systems, and pass conversations to human agents without losing context. Teams also get clear visibility into agent decisions, configurable guardrails, and tools for analyzing every customer interaction.

Book a demo with Quiq to see how agentic customer service can help your team deliver faster resolutions and improve customer satisfaction.