11 Best Yellow AI Alternatives for CX Automation

Yellow.ai offers plenty of ways to automate customer conversations, but that doesn’t mean it’s the right choice for every business. Maybe you’re looking for more control over how AI agents behave, clearer pricing, or a platform that works better with your existing customer service systems.

Whatever your reason for considering a switch, there are some strong alternatives worth looking at. We’ve compared 11 Yellow.ai competitors, covering their biggest advantages, key features, and pricing, to help you find a platform that can actually handle your customer service needs.

TL;DR

Get the better Yellow AI alternative for enterprise agentic AI. Book a free demo with Quiq today.

Why look for alternatives to Yellow AI in the first place?

If you’re considering Yellow AI for the first time, you should know that a few of its biggest downsides are well documented. And if you’re considering switching, you might have experienced some of these issues yourself.

The support is pretty bad

Ironically, for a tool that is supposed to offer excellent support with AI agents, Yellow’s own support is pretty unimpressive. Multiple users complain about the quality of the customer service, as well as how long it can take to reach someone.

“Everything, but mostly how bad the support is. It’s basically non-existent. When you have a problem, you’ll find out quickly—they simply don’t care about your situation.” – G2 review

“The service is average. We have to raise all issues via email in order to get a resolution. Post onboarding, the service levels drop.” – G2 review

And sometimes, you may have to explain your issues multiple times:

“The turnover of staff handling our account keeps changing! Changing means we need to re-explain our needs again!” – G2 review

A part of this could be attributed to a major round of layoffs in late 2025.

Setup may not be as easy as you may hope

Like most agentic AI platforms, Yellow AI takes a bit of time to set up and get started with. The good news is that it integrates with a wide range of help desks and similar tools. The bad news is that many of these integrations require specialized knowledge which your team may not have. At that point, you have to rely on Yellow’s customer support, which is not very good, as shown above.

As one customer said:

“- some configurations would need tech background e.g. integration to Zendesk”

The best Yellow AI alternatives to replace (or help) human agents in 2026

Whether you want something with better customer support or more transparent pricing, the AI agent market is filled with great Yellow AI competitors. Here are some of your best choices in 2026.

1. Quiq

Quiq is an enterprise customer experience platform that combines AI agents, AI assistance for human agents, and conversation quality management. We help businesses automate customer interactions across voice and digital channels while maintaining control over AI behavior, accuracy, and customer experience.

Key reasons to choose Quiq over Yellow.ai:

• Independent response verification: Verified Intelligence checks AI responses against approved business data and knowledge sources before they reach customers, providing an additional layer of accuracy control. You get responses that are accurate, on-brand and helpful.
• Complete AI for CX platform: human agents, AI agents, AI assistants, ai services, convo analysts, that all work together across every channel.
• Greater control over AI behavior: Process Guides let teams define business policies, escalation rules, and brand standards without writing code. They give your AI agent true agentic AI capabilities, so it can adapt to conversations naturally like a human agent would, but while following policies, escalation rules and brand standards at the same time.
• Detailed AI decision visibility: Teams can inspect individual AI decisions, including tool calls and data lookups, to understand why an agent responded or acted in a particular way.
• Consistent AI and human agent experiences: Our AI Agents and AI Assistants share knowledge, Process Guides, and integrations, helping maintain consistent responses when conversations move between AI and human agents.
• Custom conversation quality analysis: Quiq Conversation Analysts evaluate interactions handled by AI and human agents using customizable quality, compliance, and customer experience metrics.

Pricing: Quiq uses annual contracts with prepaid usage pools, with conversation volume serving as the primary billing metric. Additional charges may apply for automated resolutions and premium features, such as real-time translation and Conversation Analysts. Pricing is customized based on expected usage and feature requirements, so businesses need to contact our team for a quote.

2. Cognigy

Cognigy is an enterprise conversational AI platform designed to automate customer service across voice, chat, and messaging channels. It has a focus on contact center automation, with dedicated voice infrastructure, customizable AI agents, and integrations with existing enterprise systems.

Key reasons to choose Cognigy over Yellow.ai:

• Advanced voice infrastructure: Cognigy Voice Gateway supports call recording, DTMF input, interruption handling, and outbound calling, with connectivity to existing telephony systems.
• Flexible AI model selection: Teams can assign different language models to individual agent tasks, connect privately hosted models, and configure fallback options.
• Combined conversational approaches: Cognigy supports both structured, intent-based workflows and generative AI reasoning within the same customer interaction.
• Customizable agent assistance: Cognigy Agent Copilot can be embedded into existing contact center desktops or used alongside its own Live Agent workspace.
• Interactive customer experiences: Cognigy xApps support multimedia interactions, including interactive forms, location sharing, biometric verification, and secure payments.

Pricing: Cognigy uses enterprise contracts with pricing based primarily on conversation volume and the services included. Their AWS Marketplace listing shows a 12-month package starting at $43,080 for 60,000 conversations, increasing to $53,916 with five Voice Gateways included. Larger deployments require custom pricing based on usage requirements and infrastructure.

3. Kore AI

Kore.ai is an enterprise conversational AI platform that helps businesses build and manage AI agents for customer service, employee support, and internal operations. It combines multi-agent orchestration, enterprise search, and customizable workflows, although its extensive capabilities can introduce a learning curve, as discussed in our Kore.ai reviews.

Key reasons to choose Kore.ai over Yellow.ai:

• Broader enterprise AI applications: Kore.ai offers dedicated solutions for HR, IT, recruiting, and enterprise knowledge search alongside its customer service automation capabilities.
• Extensive agent marketplace: Kore.ai provides more than 300 agents and templates covering different business functions, along with integrations for connecting them to enterprise applications.
• Advanced agent orchestration: Teams can coordinate multiple specialized agents across departments, assign specific responsibilities, and manage how agents interact with business systems.
• Flexible deployment and model selection: Kore.ai supports multiple language models and deployment environments, including privately hosted models for organizations with specific infrastructure requirements.
• Structured agent development: Its Artemis platform includes Agent Blueprint Language, which lets developers define agent behavior, workflows, and governance requirements through structured configurations.

Our Kore.ai alternatives guide explores how the platform compares with other enterprise conversational AI solutions.

Pricing: Kore.ai offers a limited free environment for testing, while paid options use session, usage, or seat-based billing depending on the product. Enterprise pricing is customized, with additional costs potentially applying to advanced features, integrations, and support. Our Kore.ai pricing guide explains these billing components in more detail.

4. Ada CX

Ada CX is an enterprise customer service automation platform that uses AI agents to resolve customer inquiries across voice, email, and messaging channels. Unlike Yellow.ai, which also covers employee experience and marketing use cases, Ada focuses primarily on autonomous customer support, making it an option for businesses that want specialized customer service capabilities.

Key reasons to choose Ada CX over Yellow.ai:

• Dedicated customer service focus: Ada’s platform is built specifically around autonomous customer support, with tools for managing agent behavior, measuring resolution rates, and improving service quality.
• Customizable Playbooks: Teams can create structured workflows from an initial idea or existing support procedures. For example, an AI agent can verify customer information, retrieve booking details, and update reservations through connected external systems.
• Targeted AI coaching: Ada lets teams provide feedback on specific agent responses, decisions, and actions to improve how similar conversations are handled in the future.
• Resolution-focused analytics: Ada emphasizes automated resolution rates, allowing businesses to evaluate whether customer issues were actually solved rather than relying solely on containment or deflection metrics.
• Enterprise implementation support: Ada combines its software with dedicated CX experts who help companies configure agents, identify automation opportunities, and improve performance after deployment.

You can explore other options in our Ada CX alternatives guide.

Pricing: Ada primarily uses conversation-based pricing, although resolution-based contracts are also available for enterprise customers. While Ada doesn’t publish standard prices on its website, AWS Marketplace has listed an annual package at $33,000 for 60,000 conversations. Actual costs depend on usage volume, implementation requirements, and included services, as explained in our Ada CX pricing guide.

5. Sierra AI

Sierra AI is an enterprise customer experience platform that builds conversational AI agents for customer support, sales, and service operations. It focuses on resolving complex customer requests through personalized interactions, making it an option for businesses evaluating Sierra AI competitors such as Yellow.ai. Our Sierra AI reviews also examine the challenges users have encountered with implementation and pricing.

Key reasons to choose Sierra AI over Yellow.ai:

• Specialized customer service focus: While Yellow.ai supports customer and employee experience automation, Sierra concentrates on customer interactions, with an emphasis on resolving service requests and maintaining consistent brand behavior.
• Natural language agent development: Sierra’s Ghostwriter lets teams describe desired agent behaviors and changes in plain English, then helps implement those changes without requiring developers to configure every step.
• Detailed conversation analysis: Sierra Explorer lets users investigate customer conversations through natural language questions. For example, teams can examine why a support ticket was escalated or identify a recurring customer comment about service quality.
• Advanced voice simulations: Sierra provides dedicated voice testing that evaluates how agents respond to background noise, transcription errors, and different speakers before deployment, helping teams identify critical performance issues.
• Support for extended customer journeys: Sierra’s Horizon agents can coordinate interactions over multiple days or weeks, maintaining context while pursuing customer outcomes. Our Sierra AI vs Decagon comparison explores how Sierra approaches complex enterprise customer service workflows.

Pricing: Sierra AI uses outcome-based pricing, charging businesses for agreed results such as resolved support requests or successful customer retention rather than simply charging for conversation volume. Pricing is customized, with no publicly available standard plans. Our Sierra AI pricing guide discusses reported starting costs of around $150,000 annually, although these figures are estimates rather than official published rates.

6. Decagon

Decagon is an enterprise conversational AI platform that helps businesses automate customer service across voice, chat, and email. Its AI agents can answer customer questions, resolve support tickets, and complete actions in connected systems, with a particular focus on autonomous issue resolution. Our Decagon reviews examine how these capabilities perform in practice.

Key reasons to choose Decagon over Yellow.ai:

• Agent Operating Procedures (AOPs): Decagon lets customer service teams set rules in natural language for AI agents to follow, while developers retain control over integrations and security requirements.
• Duet agent development assistant: Teams can generate agent procedures from existing conversation transcripts and refine them with AI assistance, even when they don’t have a clean set of documented support workflows.
• Detailed conversation monitoring: Decagon Watchtower lets teams open a filtered view of customer interactions, identify policy violations, and investigate recurring issues without reviewing a lot of individual tickets.
• Agent testing and experimentation: Decagon offers simulations, version control, and controlled experiments to evaluate agent behavior before introducing changes to live customer conversations.
• Built for autonomous resolution: Decagon emphasizes agents that complete customer requests through connected business systems, including refunds, subscription changes, and account updates, rather than focusing primarily on answering questions.

Our Decagon alternatives guide compares its capabilities with other enterprise customer service platforms.

Pricing: Decagon offers two custom pricing models, charging either per conversation or per successful resolution. Our Decagon pricing guide estimates an annual platform fee of approximately $50,000 or more, with additional usage charges, although this is not an officially published starting price. Final costs depend on conversation volume, workflow complexity, and contract requirements.

7. Poly AI

Poly AI is an enterprise conversational AI platform specializing in voice automation for customer service and contact centers. While Yellow.ai supports a wider range of customer engagement channels, Poly AI focuses on natural phone conversations, using proprietary speech and dialog models to handle complex customer requests. Our Poly AI review examines its capabilities and limitations in more detail.

Key reasons to choose Poly AI over Yellow.ai:

• Specialized voice AI technology: Poly AI develops proprietary dialog models specifically for enterprise phone conversations, rather than relying entirely on external speech recognition and language model providers.
• Audio native reasoning: Its Dialog RSN 1 model processes raw call audio to recognize hesitation, interpret speech in context, and decide when to respond. This gives businesses an alternative to traditional voice architectures that process speech through separate transcription and language models.
• Natural conversation handling: Poly AI agents support interruptions, topic changes, and conversational pauses, allowing callers to explain requests without following rigid IVR menus.
• Developer-focused customization: Poly AI’s Agent Development Kit supports Python, Git, and automated deployment pipelines, allowing engineering teams to develop and manage agents using their existing tools.
• Dedicated voice operations support: Poly AI includes continuous monitoring, performance improvements, and 24/7 emergency support in its enterprise plans, which may appeal to organizations relying heavily on phone automation.

Our Poly AI alternatives guide compares it with other enterprise conversational AI solutions.

Pricing: Poly AI uses custom enterprise pricing, with ongoing voice agent usage billed per minute rather than through fixed subscription tiers. Our Poly AI pricing guide estimates that enterprise deployments can cost around $150,000 annually, although this is not an official starting price. Actual costs depend on call volume, conversation duration, and deployment requirements, with maintenance and ongoing support included in the usage charges.

8. Retell AI

Retell AI is a conversational AI platform for building voice agents and chatbots that handle customer support, appointment scheduling, and outbound calling. Compared to Yellow.ai’s broader enterprise customer experience platform, Retell AI focuses on developer customization and accessible voice automation, making it an option for businesses exploring Retell AI competitors.

Key reasons to choose Retell AI over Yellow.ai:

• Transparent usage pricing: Retell AI publishes its per-minute voice agent rates and offers a paid usage model without mandatory annual contracts, making it easier to experiment before committing to a larger deployment.
• Developer control over voice agents: Teams can choose language models, voice providers, and telephony configurations, with APIs and webhooks for connecting agents to existing business applications.
• Flexible conversation design: Retell AI supports both single prompt agents and structured conversation flows, giving developers control over how bots respond and what happens when customers change topics or request human assistance.
• Built-in simulation testing: Teams can create simulated customer conversations, define success criteria, and run batch tests to identify problems before deploying changes to production.
• Outbound calling capabilities: Retell AI supports scheduled and batch calling campaigns for appointment reminders, lead qualification, and customer follow ups, with personalized call data and performance tracking.

Pricing: Retell AI offers a pay-as-you-go plan with voice agents costing $0.07 to $0.31 per minute, depending on the language model, voice provider, and additional features, plus $10 in free credits. Its Enterprise plan uses custom pricing and provides higher concurrency limits, dedicated support, and additional deployment controls. Our Retell AI pricing guide explains how telephony charges, usage volume, and optional features affect the final cost.

9. Haptik

Haptik is an enterprise conversational AI platform that helps businesses automate customer support, sales, and engagement across voice and digital channels. Backed by Reliance Jio, Haptik offers specialized AI agents for customer service, product recommendations, appointment booking, and lead qualification, with a strong focus on conversational commerce.

Key reasons to choose Haptik over Yellow.ai:

• Dedicated conversational commerce capabilities: Haptik supports product discovery, personalized recommendations, cart management, and payments within messaging channels, making it worth considering for ecommerce businesses.
• Specialized AI agents: Haptik offers dedicated agents for customer support, sales, bookings, and lead qualification, allowing businesses to select solutions around specific customer journeys.
• WhatsApp commerce ecosystem: Through its Interakt product, Haptik provides WhatsApp sales and support tools, including abandoned cart recovery, automated campaigns, and Shopify integrations.
• Multilingual voice automation: Haptik supports voice interactions in more than 100 languages, with capabilities for intent detection, dynamic call routing, and automated customer assistance.
• Customizable AI model selection: Teams can work with models such as GPT, Claude, and Llama, while connecting agents to enterprise knowledge bases and external business systems.

Pricing: Haptik uses custom pricing for its enterprise conversational AI platform and does not publish standard subscription rates. Businesses need to contact sales for a quote based on their deployment requirements, expected usage, and selected services. Its separate Interakt product offers subscription plans for businesses primarily interested in WhatsApp automation.

10. Level AI

Level AI is an enterprise customer experience platform that combines conversational AI, automated quality assurance, and contact center analytics. Compared to Yellow.ai’s broader focus on customer engagement automation, Level AI places greater emphasis on analyzing customer interactions and improving agent performance through detailed quality monitoring and coaching.

Key reasons to choose Level AI over Yellow.ai:

• Specialized quality assurance: Level AI’s QA GPT automatically evaluates up to 100% of customer interactions against customizable scorecards, providing supporting evidence and reasoning for each evaluation.
• Advanced agent coaching: The platform identifies performance gaps from actual conversations and helps managers create personalized coaching plans, assign improvement tasks, and track progress over time.
• Agent screen recording: Level AI captures agent desktop activity alongside customer conversations, helping supervisors identify process bottlenecks, investigate compliance issues, and review how agents use internal systems.
• Detailed customer sentiment analysis: Its Voice of the Customer solution analyzes conversations to identify recurring complaints, emerging issues, and customer satisfaction trends, including inferred satisfaction scores for interactions without survey responses.
• Natural language conversation analytics: Level AI’s AI Workers let managers ask questions about customer interactions and generate reports using existing quality scores and conversation data.

Pricing: Level AI uses custom enterprise pricing and does not publicly disclose standard subscription rates or fixed pricing tiers. Businesses need to request a quote based on their contact center requirements, selected products, and deployment scale. The final cost may vary depending on whether the organization needs automated quality assurance, agent assistance, conversation analytics, or additional capabilities.

11. Rasa

Rasa is a conversational AI development platform that helps businesses build customized AI agents for customer service, employee support, and internal operations. Compared to Yellow.ai, Rasa places greater emphasis on developer control, offering both code-based development and visual tools for designing conversations. It is particularly relevant to organizations with engineering resources that want direct access to their agent architecture and deployment environment.

Key reasons to choose Rasa over Yellow.ai:

• Greater developer control: Rasa lets developers customize agent logic using Python, custom actions, and configurable components, offering flexibility for teams with specialized technical requirements.
• Flexible deployment options: Businesses can deploy Rasa on their own infrastructure, in a private cloud, or through a managed service, giving them control over data storage and deployment configurations.
• Structured conversation management: Rasa’s CALM architecture combines language model understanding with deterministic conversation flows, allowing teams to define exactly how agents should respond and which actions they can perform.
• Custom business system integrations: Developers can build actions that access databases, retrieve business objects, and exchange information with external APIs, allowing agents to work with existing enterprise systems.
• Detailed conversation insights: Rasa Studio includes analytics for conversation volume, containment rates, response latency, and customer satisfaction. Teams can also review interactions by channel, language, or tag to identify areas for improvement.
• Integrated development environment support: Rasa offers tools that connect with development environments such as VS Code and Cursor, helping engineering teams build, test, and debug conversational agents within their existing development processes.

Pricing: Rasa offers a free Developer Edition that supports one bot per company, with up to 1,000 external conversations or 100 internal conversations per month, including production deployments. Its Enterprise plan uses custom pricing and includes expanded usage capacity, enterprise security capabilities, and premium support. Businesses can contact Rasa for a quote based on their deployment requirements and expected usage.

Get the best Yellow AI alternative for enterprise CX operations

Switching from Yellow.ai is a big decision, especially when your customer service team handles thousands of conversations every day. You need a platform that can actually resolve customer requests, work with your existing systems, and give your team control over what AI agents say and do.

That’s what we’ve built Quiq to do. Our AI Agents can handle everything from answering account questions to processing returns, while Process Guides and Verify Claim help keep their actions and responses in check. And when a customer needs human assistance, the conversation history comes along with them.

We’d love to show you what this looks like in practice. Book a demo with Quiq and see how we can help your team resolve more customer requests without sacrificing service quality.