Yellow AI: A 2025 review of the enterprise AI platform

If you’ve spent any time looking for an AI solution for your customer support team, you’ve probably seen the name Yellow AI pop up. It’s a big name in the enterprise world, promising to deliver incredibly smart, human-like conversations using its powerful "agentic AI."

But what does that actually mean for you and your team?

This article is a straight-up review of what you can expect from the Yellow AI platform in 2025. We'll get into its main features, try to make sense of its complicated pricing, and walk through the big questions you should be asking before you even think about booking a demo.

Yellow AI is a powerful tool, no doubt. But it’s built for a very specific type of customer, and its enterprise-first approach comes with some serious trade-offs. Let's dig in and see if it's the right fit for you.

What is Yellow AI?

At its core, Yellow AI is a platform designed to automate conversations for massive companies, both for their customers and their own employees. The whole system is built around what they call "AI agents."

The big idea behind their "Agentic AI" is to create bots that do more than just spit out pre-written answers. They're designed to be autonomous, meaning they can supposedly think for themselves, take action, and solve tricky problems without a human stepping in. Imagine a bot that not only answers "Where's my order?" but can also proactively figure out there’s a shipping delay, notify the customer, and offer a discount on their next purchase, all on its own.

Yellow AI is aimed squarely at large enterprises that need one giant platform to handle automation for both customer experience (CX) and employee experience (EX). It’s built to work everywhere, supporting over 35 channels, from your website chat and email to voice calls and social media messages. The goal is to let companies manage every conversation from one place, giving users a consistent experience no matter how they reach out.

Key features of Yellow AI

The Yellow AI platform is a complex machine with a lot of moving parts, all built to handle operations at a massive scale. Here’s a breakdown of what’s under the hood.

Dynamic AI agents and multi-LLM architecture

Yellow AI doesn’t just rely on one Large Language Model (LLM) like many other tools. It uses a multi-LLM setup, which lets it pull from different AI models to find the best way to handle a conversation. They claim this makes their AI agents faster and more accurate.

These "Dynamic AI agents" are built for what they call "goal-driven conversations." In simple terms, this means the bot is trying to do something, not just answer a question. It can guide a customer through a multi-step process, like scheduling a repair service or changing a flight, which is a step beyond just pulling an answer from a help article.

Omnichannel orchestration

This is one of the platform’s biggest selling points. The idea is that you can build an AI agent once and then use it on your website, in your app, over the phone, on WhatsApp, and anywhere else your customers are.

More importantly, it’s supposed to keep the conversation going even if a customer switches channels. For example, someone might start a chat on your website to report a problem, get frustrated, and decide to call. An omnichannel platform like Yellow AI is designed to give the phone agent (or AI phone agent) the full history of that web chat, so the customer doesn't have to repeat themselves. It’s all about creating a smoother journey.

No-code/low-code agent builder

To avoid making their platform a tool only for developers, Yellow AI has a visual workflow builder. It’s a drag-and-drop tool that lets your business teams, like marketing or customer support, design and launch their own AI agents using plain English.

This is a pretty common feature these days, and for good reason. It helps teams move faster by taking the technical bottleneck out of the equation. Your support lead can build a new workflow for handling refund requests without having to file a ticket with the engineering team and wait two months.

Analytics and enterprise integrations

Of course, the platform comes with an analytics dashboard. It’s designed to give you a high-level view of how your AI agents are doing, see which topics are popping up most often, and spot any areas where the automation might be failing.

To make sure it plays nicely with the tools you already use, Yellow AI has a library of over 150 pre-built integrations. This includes connections to major enterprise software like Salesforce, Zendesk, and Genesys, so it can pull customer data and push information back into your core systems.

Yellow AI pricing in 2025

Okay, here’s where things get a bit murky. Yellow AI doesn't put any pricing on its website. If you want to know how much it costs, you have to schedule a demo and talk to their sales team. This is standard practice for expensive, old-school enterprise software, but it’s a real pain when you’re just trying to figure out if it's even in your budget.

Luckily, we can do a little digging. By checking out their listings on places like the AWS Marketplace and Salesforce AppExchange, we can get a much better idea of the kind of money we're talking about.

Plan/Source	Price	Details
AWS Marketplace - Basic	$10,000 / year	A basic chatbot for a single use case, with limits on conversations.
AWS Marketplace - Standard	$25,000 / year	A standard chatbot for four use cases, also with conversation limits.
Salesforce AppExchange	$58,000 / year	Includes 60,000 conversations and licenses for 10 human agents.
Salesforce Gen AI Add-on	$18,000 / year	An extra yearly fee just to get their generative AI features.

That five-figure starting price is a huge barrier for most companies. And notice that sneaky "Gen AI Add-on", you have to pay an extra $18,000 a year just to get the core AI technology that makes the whole thing work. This means your final bill could be way higher than you first thought.

For teams that just want clear, predictable costs, this model feels outdated. It's a stark contrast to modern tools like eesel AI, which offers a simple and public pricing page. You can see exactly what you'll pay per month, and you can get started on your own without having to sit through a sales call.

A screenshot of the eesel AI pricing page, showing its transparent, self-serve monthly plans as a direct comparison to Yellow AI’s opaque, enterprise-focused model.

Limitations and considerations of Yellow AI

While Yellow AI is a beast of a platform, its enterprise-first DNA brings some major trade-offs. Here are a few things you really need to think about before you go any further.

The high cost and confusing pricing of Yellow AI

We just talked about the price, but it’s worth repeating. The cost isn't just high; it's confusing. With different tiers, add-ons, and conversation limits, it’s almost impossible to predict what your bill will be at the end of the year. This kind of pricing model is designed to get a foot in the door and then "upsell" you later. It pretty much excludes any small or medium-sized business and can be a tough sell even for individual departments within a large enterprise.

The long, sales-driven setup process for Yellow AI

Anytime you see a "Book a Demo" button as the only way to get started, you can bet you’re in for a long ride. The sales cycle for a tool like Yellow AI can take months, and that’s before you even start the implementation.

Getting set up isn’t a weekend project. It often requires a dedicated project manager, a team of consultants, and significant time from your own staff. It’s a classic "rip and replace" project, where you have to bend your existing processes to fit their software, not the other way around.

No way to test Yellow AI without risk

This might be the biggest issue of all. When you're about to let an AI talk to your customers, you want to be damn sure it’s going to do a good job. A bad bot can tick off customers and create more work for your team, completely defeating the purpose.

Yellow AI’s model doesn’t give you a simple, risk-free way to see how it will perform with your actual customer questions before you flip the switch. This "big bang" launch is a huge gamble.

This is a massive gap, and it’s where a solution like eesel AI completely changes the game. It has a simulation mode that lets you test the AI on thousands of your past support tickets. You can see exactly what its resolution rate would have been, read every single one of its proposed answers, and get a clear forecast of your ROI, all before a single customer ever interacts with it.

A screenshot of the eesel AI simulation mode, which allows users to test their AI agent on past customer tickets to predict its performance and ROI, a feature that contrasts with the riskier launch process of Yellow AI.

A simpler, more transparent alternative to Yellow AI: eesel AI

For teams that don’t have the time, budget, or patience for a massive enterprise rollout, eesel AI offers a much more modern approach. It’s designed to plug right into the helpdesks you already use, like Zendesk or Freshdesk, so you can be up and running in minutes.

Here’s a quick side-by-side look at the two philosophies:

Feature	Yellow AI	eesel AI
Onboarding	Sales-led. You have to go through demos and a long setup.	Completely self-serve. You can go live on your own in minutes.
Pricing Model	Starts in the high five-figures with confusing tiers and add-ons.	Totally transparent. Simple monthly plans with no hidden fees.
Integrations	Over 150 deep integrations, but often require changing how you work.	One-click integration with your existing helpdesk. No disruption.
Pre-launch Testing	No clear way to simulate performance on your real data.	A powerful simulation mode on past tickets so you can test risk-free.
Control	Enterprise-level control, but the platform can feel rigid.	You have fine-grained control to automate just what you want, and roll out slowly.

If you don't have a six-figure budget and a team of project managers ready for a months-long implementation, eesel AI gives you the power of an enterprise AI solution but with the speed and flexibility that most modern support teams actually need.

Is Yellow AI right for you?

So, what's the verdict? Yellow AI is a powerful, complicated, and very expensive platform. It's built for global companies with incredibly complex support needs across dozens of channels, who have the budget and internal teams to manage a heavy-duty piece of software. If you're running a massive contact center with thousands of agents and need one vendor to rule them all, it might be worth a look.

But for almost everyone else, the sky-high cost, the painfully long implementation, and the gamble of a "big bang" launch are huge red flags.

This video provides a complete demo of building an AI agent on the Yellow AI platform, giving you a closer look at its capabilities.

If your team is looking for a faster, smarter AI solution that works with the tools you already love and has pricing you can actually understand, you should check out a platform like eesel AI. You can have your first AI agent up and running in minutes, not months.