AI Agents have become the core of how modern businesses scale support, improve engagement, and cut costs. Among the many players in this space, Yellow.ai has emerged as a well-known name, offering a no-code platform that promises to power 24/7 customer conversations through generative AI and multichannel deployments.

With over 1100 enterprise clients across 85+ countries, Yellow.ai markets itself as a future-ready platform built on a robust multi-LLM foundation and trained on billions of real conversations. But while some users appreciate its NLP capabilities, multilingual reach, and versatility, others report frustrating onboarding experiences, missed timelines, and gaps in communication—issues that can cost teams both time and trust.

If you’re evaluating AI Agent chat and voice solutions and wondering whether Yellow.ai is the right fit for your business or looking for more agile, transparent, or industry-specific solutions, you’re not alone. Many organisations today are seeking alternatives that deliver on both the promise and the performance of AI-driven automation.

In this blog, we’ll explore 10 powerful alternatives to Yellow.ai, each offering unique strengths in chatbot development, voice AI, CRM integration, multilingual support, analytics, and more. Whether you’re a growing startup or a global enterprise, these platforms could be your next step toward building smarter, faster, and more human customer experiences.

Let’s dive in.

Why Look for an Alternative to Yellow.ai?

While Yellow.ai has built a strong reputation for delivering generative AI-powered automation at scale, it may not be the ideal solution for every business. From pricing concerns to feature gaps, there are a few reasons why teams might want to explore other options before committing.

1. Cost is one of the first barriers.

Yellow.ai’s pricing structure may feel out of reach for small and mid-sized businesses—or even larger enterprises trying to optimise tech spend. In some cases, companies have reported paying for a full suite of tools without receiving working implementations months into the engagement.

2. Feature requirements also vary across industries.

For instance, a healthcare company may need HIPAA-compliant AI agents, while a fintech firm might prioritise secure authentication workflows and audit trails. If the platform doesn’t offer the depth or flexibility your use case demands, the gap can quickly become a bottleneck.

3. Integration is another big one.

No business runs in isolation. Most need their chatbot to plug into CRMs, payment gateways, support ticketing systems, or analytics dashboards. If Yellow.ai’s integrations feel limited—or complex to implement—teams may lose valuable time and efficiency.

4. Support experience matters, too.

Several users have raised concerns about delayed responses, unmet timelines, and a lack of communication from Yellow.ai’s implementation teams. If onboarding and scaling feel like a struggle, it can affect customer experience and internal adoption.

Here’s a quick summary of why teams are exploring other platforms:

• You need better ROI and a pricing model that fits your scale

• You require industry-specific capabilities or deeper customisation

• You want smoother, faster integrations with your existing tech stack

• You expect more reliable onboarding and support throughout the journey

Ultimately, choosing a conversational AI partner is about more than flashy features. It’s about finding a solution that fits your business—technically, financially, and operationally.

Key Features to Consider in AI Agent Platforms for Customer Support

AI agents today are doing more than just answering FAQs—they’re transforming how support teams scale, personalise, and resolve customer queries in real time.

First, look for real conversation skills.

AI agents powered by strong Natural Language Processing (NLP) and Generative AI can do more than reply—they can interpret, infer, and respond with contextual relevance. Whether it’s handling a complex return request or guiding users through a service workflow, these agents use intent detection and emotion recognition to drive smarter responses.

Consistency across channels is critical.

Your AI agent should operate seamlessly across your website, WhatsApp, Instagram, mobile app, and even voice, offering connected, persistent experiences no matter where your customer reaches out.

Next, check for deep integration capabilities.

The right platform doesn’t just talk—it acts. AI agents should be able to connect with your CRM, helpdesk, order management system, and APIs to fetch data, trigger workflows, or even take action like updating a ticket or issuing a refund.

Don’t forget context memory.

The most powerful AI agents retain the history of interactions across channels and time. This ensures continuity in conversations, reduces customer repetition, and makes support feel far more personal.

Scalability is also a deal-breaker.

Whether you’re a growing startup or a large enterprise with 10,000 daily conversations, your AI agent should maintain speed, accuracy, and performance, without spiking operational costs.

Last but not least, consider compliance and privacy.

With increasing customer expectations and tightening regulations, your AI platform must prioritise secure data handling, auditability, and transparency.

While AI chatbots started the automation journey, today’s AI agents are intelligent, contextual, and action-oriented—built to serve real business goals.

Here’s a quick checklist of features to evaluate:

• Generative AI + NLP for intelligent, human-like responses

• Context memory for continuity across touchpoints

• Workflow automation via CRM and third-party integrations

• Omnichannel deployment including voice, text, and messaging apps

• Scalability and performance for high-volume support

• Security and compliance are baked into the platform

AI agents aren’t just responding, but they’re resolving. Choose a platform that goes beyond chat to deliver true customer value.

Top 10 Alternatives to Yellow.ai for Customer Support Automation

If you’re exploring more flexible, scalable, or better-aligned AI agent platforms than Yellow.ai, you’re not alone. While Yellow.ai offers a robust solution, businesses looking for faster implementation, stronger support, or specialised features often seek alternatives that better fit their stage and goals.

Here are ten strong alternatives worth considering, starting with one of the top players in the space:

1. Verloop.io

Verloop.io is more than just a chatbot platform; it’s an end-to-end customer support automation solution designed specifically for customer support teams. Built with generative AI at its core, Verloop.io offers chat and voice agents that don’t just respond but they understand, learn, and resolve issues contextually.

What sets Verloop.io apart is its ability to balance automation with personalisation, alongside its supportive solutions like Sparks Auto QA and Co-pilot for Agent to help agents respond faster. Whether it’s handling high volumes of repetitive queries or transferring complex issues to live agents with full context, the platform ensures that every interaction feels effortless for the customer and efficient for the business.

Key capabilities include

• Generative AI-powered chat and voice agents that can handle 80–90% of routine queries

• Smart context memory to carry over past interactions, even across channels

• Easy integration with CRMs, order management systems, and helpdesks

• Real-time handover to agents with complete conversation history

• Built-in quality audit and coaching tool (Sparks™) for performance tracking

• Multi-language support and enterprise-grade security (ISO 27001, GDPR compliant)

Verloop.io is designed for industric specific AI models for industries like e-commerce, BFSI, and healthcare, where speed, compliance, and context are critical. Businesses using Verloop.io often report higher CSAT, faster resolution times, and lower support costs.

“It is very fast as compared to Gupshup & highly responsive”
— G2 Reviewer

If you’re looking to deploy AI agents that actually work, without spending months on implementation, Verloop.io is a top contender to consider.

2. Kore.ai

Kore.ai positions itself as a robust enterprise conversational AI platform that empowers organisations to automate support, internal operations, and digital experiences across channels. Designed for scale, the platform is trusted by over 400 Fortune 2000 companies and offers an impressive suite of solutions across automation, contact centre, agent AI, and intelligent search.

Its no-code/low-code tools make it easier for enterprises to build and deploy AI agents quickly, with flexibility to customise for industry-specific use cases. Whether you’re automating an IT helpdesk, customer support flow, or internal HR assistant, Kore.ai allows teams to build once and scale across voice, chat, and multimodal experiences.

Key Features

• Multi-product architecture: Offers four distinct tools – Automation AI, Contact Centre AI, Agent AI, and Search AI

• No-code/Low-code bot builder: Role-based workflows, visual nodes, and drag-and-drop design

• Multimodal support: Build bots for chat, voice, mobile, and web platforms

• LLM & RAG integration: Plug in LLMs and external databases for advanced responses using Retrieval-Augmented Generation

• Advanced NLU engine: Helps bots understand user intent across languages and dialects

• Omnichannel deployment: Native integrations with websites, apps, and enterprise tools

• Analytics dashboard: A/B testing, performance tracking, and usage heatmaps

• Live Agent Handoff: Context-rich escalation capabilities

Pros of Kore.ai

• Built for enterprise-grade scalability and control

• Powerful LLM + RAG integrations enable smarter, data-backed replies

• Flexible bot builder with roles, permissions, and collaboration tools

• Voice and chat automation within one ecosystem

• Excellent customer support with regional offices globally

Cons of Kore.ai

• Steep learning curve for beginners and non-technical users

• Interface can be overwhelming due to its range of features

• Response latency may increase when running complex LLM models

• Higher cost may be a consideration for SMEs

• Documentation could be more beginner-friendly

What Users Say (via G2):

“Everything is in one place—from testing to LLM integration to data search. I don’t have to depend on multiple tools.”
— Test Engineer, Enterprise Tech Company

“Great for scalability and deep control, but would love a faster response time when using generative AI.”
— Support Analyst, BFSI Industry

“We were struggling with human-only models. Kore.ai helped us scale 24/7 service and reduce response times drastically.”
— IT Ops Manager, Telecom Company

Kore.ai is a solid choice for enterprises seeking deep control, multi-modal flexibility, and an AI agent framework that supports both customer-facing and internal automation use cases. While it may require some onboarding investment, the power it offers is undeniable.

3. Intercom (Fin)

Intercom’s AI Agent, Fin, is designed to handle the heavy lifting of customer support—automating up to 60% of incoming queries while delivering high-quality, human-like responses. Powered by the Fin AI Engine™, this solution combines advanced generative AI with a purpose-built architecture optimised for speed, accuracy, and continuous learning.

Unlike traditional AI chatbots, Fin doesn’t just answer questions—it takes action, understands complex queries, and seamlessly escalates issues to human agents when needed. It’s built for scale, integrating with popular CRMs and helpdesks like Zendesk, Salesforce, HubSpot, and Intercom’s own suite to deliver unified support.

What sets Fin apart is its end-to-end AI agent lifecycle—from training to deployment—enabling teams to iterate quickly and improve performance continuously in a no-code environment.

Key Features

• Fin AI Engine™: Proprietary architecture tuned for precision and low-latency AI resolution

• Train, test, and deploy in one place: No-code interface to configure tone, behaviour, and response logic

• AI-powered analytics: Real-time suggestions to optimise Fin’s performance

• Seamless handoffs: Fin identifies when human intervention is needed and routes accordingly

• Omnichannel availability: Works across chat widgets, email, and integrations with existing CRMs

• Self-improving system: Fin learns from resolved tickets and human agent interactions

• Proactive onboarding assistance: Helps reduce churn and improve user adoption through setup guidance

Pros of Intercom

• High query resolution rate (60%+ reported by users)

• Fast to set up and easy to train without technical barriers

• Strong testing and optimisation tools built-in

• Continuous learning loop from past interactions and human agent resolutions

• Integrates well with major CRMs and helpdesks

• Excellent customer support and documentation from Intercom

Cons of Intercom

• Escalation workflows require fine-tuning to avoid dropped conversations

• Limited visibility into overall CX scores at conversation-level granularity

• Some visual presentation limitations in chatbot responses

• A/B tests may be rolled out without notice, affecting performance unpredictably

• Basic HubSpot integration could be improved

What Users Say (via G2)

“Fin solves 60%+ of customer queries. Once you put in the initial training effort, the value is massive.”
— Head of Customer Experience, SaaS Company

“The ability to refine Fin’s responses is a big win. But would love more visual controls in how replies are displayed.”
— Product Operations Manager

“It’s made onboarding smoother and saved our team hours weekly. Fin answers setup questions naturally and effectively.”
— Customer Success Lead

“Escalations need work, but the pace of updates and product support gives me confidence.”
— Support Specialist

Intercom’s Fin is ideal for growth-stage and mature businesses looking to bring automation to their customer support with precision and speed. Its advanced AI engine and all-in-one lifecycle tools make it a top contender for teams that want both control and scalability in their AI agent stack.

4. Freshchat

Freshchat, a product by Freshworks, is designed to empower businesses with real-time, conversational engagement across popular channels like WhatsApp, Instagram, iMessage, and web chat. With a focus on ease of use and omnichannel continuity, Freshchat helps support teams deliver proactive, contextual, and personalised experiences at scale.

Its AI-powered bots can be built with a no-code interface, allowing even non-technical teams to automate FAQs, data collection, and ticket handoffs. Paired with powerful tools like Journey Builder and IntelliAssign, Freshchat is a go-to solution for companies looking to streamline customer support while maintaining a human touch.

Key Features

• Omnichannel Support: Engage customers via web, mobile, WhatsApp, Instagram, and more

• No-Code Chatbot Builder: Quickly design automated flows without needing developers

• Journey Builder: Automate and personalise customer journeys based on behaviour and triggers

• Contextual Conversation View: Unified dashboard with history, customer details, and past touchpoints

• Agent Productivity Tools: IntelliAssign, canned responses, and Freshdesk integration for quick handoffs

• Multilingual Capabilities: Create chatbot topics and flows in multiple languages

• Analytics & Reporting: Visual dashboards and metrics to track team performance and customer behaviour

Pros of Freshchat

• Easy to implement and beginner-friendly for non-technical teams

• Seamless handoff between chatbot and human agents

• Deep Freshdesk/Freshservice integrations

• Customisable workflows with multilingual and multi-channel support

• Scalable for growing customer service needs

• Responsive support team and good onboarding documentation

Cons of Freshchat

• Limited native integrations beyond the Freshworks ecosystem

• Some platform bugs and quirks with Freshbot logic across channels

• Analytics interface has a learning curve and could be more intuitive

• Occasional issues with commercial hours interfering with bot flows

• Refund and account management experiences have been mixed for some users

What Users Say (via G2):

“Freshchat has been a game-changer for us at Kalki Fashion… the automation and reporting features have made a real impact on our support team’s productivity.”
— Ecommerce Support Manager

“We use multilingual topics daily—our chatbot collects data and sends it to agents with full context. That saves our team a ton of time.”
— CX Specialist, Healthcare

“Journey builder helps us proactively support customers across WhatsApp and web. The Freshdesk ticket sync is a big bonus.”
— Customer Support Lead

“Navigating the analytics takes some time, and Freshbot logic is a bit inconsistent between channels. But the support team is helpful, and updates are frequent.”
— Operations Manager

Freshchat is ideal for companies seeking a plug-and-play conversational AI platform with deep Freshworks integration, multi-language support, and automation capabilities tailored for scaling service operations. Its no-code approach and omnichannel capabilities make it a strong choice for mid-size to large teams looking to blend automation with agent productivity.

5. Gupshup

Gupshup is a leading conversational messaging platform that powers over 6 billion messages per month, helping businesses automate marketing, commerce, and customer support. With a carrier-grade API that connects over 30+ channels, including WhatsApp, SMS, and RCS, Gupshup is especially favoured by businesses in emerging markets for its reliability, reach, and scalability.

From transactional messages to intelligent chatbots, Gupshup offers a complete messaging stack tailored to high-volume communication. Whether you’re running flash sales or automating FAQs, the platform promises high deliverability, rich personalisation, and campaign performance across industries and geographies.