Front AI AI Answers: What happened and what’s the best alternative in 2025?

So, if you're using Front, you've probably noticed a recent shuffle in their AI lineup. The Front AI AI Answers feature is gone, replaced by a new tool called Autopilot. For teams that were leaning on AI Answers, or even just kicking the tires on it, this sudden switch can be a bit jarring.

This isn't just a simple name change. It's a good moment to pause and think about the role of AI in customer support. What was promising about tools like AI Answers? Where did they miss the mark? And, most importantly, what should you actually be looking for in an AI tool today?

This guide will walk you through the changes with Front's AI, point out the limitations of their new approach, and show you how to find a more powerful, flexible, and budget-friendly alternative to automate your support.

What was Front AI AI Answers?

Before it was retired, Front AI AI Answers was a chatbot feature that worked inside Front Chat. The idea was pretty straightforward: to give customers instant, automated answers to their questions.

Here’s a quick look at how it worked:

• It was a chatbot add-on. This wasn't a full-fledged AI agent, but rather a step you could add into a chatbot flow. A customer would start a chat, and the AI Answers step would jump in at a designated point.

• It needed a knowledge base. The AI could only pull information from a connected knowledge source. This meant you needed a public Front knowledge base or another external help center for it to draw from.

• The logic was simple. After providing an answer, it would ask, “Did that answer your question?” and give the customer two options: "Yes, that helped" or "No, get more help." The chat would then follow a pre-set path based on their response.

Front’s new Autopilot feature works in a similar way, still tethered to a knowledge base. But this model has some real drawbacks that can hold your support team back.

The challenges of a knowledge base-only approach

An AI that only learns from a formal knowledge base is a bit like a chef who only uses one cookbook. It might know the official recipes, but it has no clue how to improvise or handle a request that's slightly off-script. This was a core problem with the original Front AI AI Answers, and it’s an issue that affects a lot of early AI tools.

Relying on outdated, public-only knowledge

The biggest headache with knowledge bases is that they’re static. They require someone to manually update them to keep the information fresh. If an article is out of date, your AI will start confidently giving out wrong information, which is almost always worse than no answer at all.

Front’s own documentation points this out. To get updated content from an external source, you have to remember to click a "Sync now" button. For a busy support team, that's just one more task that can easily fall through the cracks. The documentation also mentions another big blind spot: the AI can’t sync with any private or password-protected content. That means all your internal notes, drafts, and team knowledge are completely invisible to it.

This is where more modern AI platforms work differently. Instead of being locked into a single, static source, tools like eesel AI connect directly to all your company knowledge, no matter where it is. It can pull information from private and constantly changing sources like Confluence, Google Docs, and even Slack, making sure your AI always has the latest context without you having to do a thing.

An infographic showing how eesel AI connects to multiple knowledge sources, unlike the siloed approach of the old Front AI AI Answers.

Ignoring your most valuable data: Past conversations

Think about where your team's best knowledge really lives. It's not just in perfectly polished help center articles. It’s buried in the thousands of tickets and conversations you've already successfully resolved. That history is packed with all the nuances, troubleshooting steps, and specific phrasing that make your support great.

An AI that can't access that is leaving your best asset on the shelf. In fact, a quick look at the Front ideas forum shows that users have been asking for the ability for AI to learn from past conversations for a while. It’s a pretty clear signal that a knowledge base alone just doesn't cut it.

This is exactly what eesel AI was designed for. It connects to your help desk (whether it’s Zendesk, Freshdesk, or another platform) and automatically learns from your historical tickets. Right away, it picks up on your brand’s voice and the solutions that have actually worked for your customers. It can even help you find gaps in your official knowledge base and generate new articles based on successful resolutions.

A screenshot demonstrating how eesel AI can learn from past tickets, a key alternative to the limitations of Front AI AI Answers.

Beyond the "black box": Why control and predictable costs matter

When you think about adding AI to your workflow, two big questions usually pop up: "How much control will I actually have?" and "What is this really going to cost me?" These are two areas where many AI tools, Front's included, can create more problems than they solve.

The hidden costs of per-resolution pricing

Front’s old AI Answers was priced at $0.70 per resolution, and its replacement, Autopilot, is even pricier at $0.89 per resolution. On the surface, this model seems straightforward, but it has a fundamental flaw: it penalizes you for being busy.

If you have a big month, launch a new product, or run into an unexpected issue that causes a spike in tickets, your AI bill can shoot up without warning. You're left with unpredictable costs you can't really control. This makes it impossible to budget properly and can turn a helpful tool into a financial headache.

In contrast, eesel AI offers clear and predictable pricing. Our plans are based on a fixed number of monthly AI interactions, with no surprise fees per resolution. You know exactly what you’re paying each month, which lets you handle more support volume without stressing about a huge bill.

The risk of deploying without proper testing

I saw a story from a sysadmin on Reddit that really stuck with me. An engineer on his team blindly followed an AI co-pilot's instructions and ended up wiping out two databases. It’s a pretty stark reminder of what can happen when you deploy a 'black box' AI and just hope for the best.

Reddit

Many AI tools don't give you a way to properly test them before they interact with customers. You’re essentially forced to take a leap of faith, which is a massive risk for your brand’s reputation.

This is why eesel AI’s simulation mode is so useful. It lets you test your entire AI setup on thousands of your own past tickets in a totally safe environment. You can see exactly how the AI would have responded to real customer problems, get accurate forecasts on your resolution rate, and tweak its behavior before it ever talks to a single live customer. It’s the "trust but verify" approach, built right into the platform.

eesel AI's simulation mode provides a risk-free way to test performance, a crucial feature missing in tools like Front AI AI Answers.

Key features for a powerful alternative

If you’re looking for something better than what Front offers, you need a modern AI support platform. Here’s a quick buyer's guide on what to look for.

• Go live in minutes, not months. You shouldn’t have to sit through a bunch of sales calls and a lengthy onboarding just to get started. A great AI tool should be self-serve. With eesel AI, you can connect your help desk and build your first AI agent in under five minutes, completely on your own.

• Unified knowledge that learns from everything. Your AI should be able to connect to all your knowledge sources, not just a public help center. This includes past tickets, internal wikis like Confluence, and documents in Google Drive.

• A fully customizable workflow engine. You need fine-grained control. You should be able to define exactly which tickets the AI handles, what actions it can take (like tagging, escalating, or calling an external tool), and its precise tone of voice.

• Risk-free simulation and analytics. You have to be able to test with confidence. A solid simulation mode lets you check performance before you launch, and good analytics should show you where your knowledge gaps are so you can keep improving.

• Transparent and predictable pricing. Your bill should never be a surprise. Look for flat-rate plans that don’t charge you for every single resolution.

Front AI AI Answers pricing vs. a predictable alternative

Front's pricing requires you to be on a higher-tier plan before you can even pay extra for AI add-ons, many of which come with those per-resolution fees. It can get complicated and expensive, quickly.

In contrast, eesel AI's pricing is designed to be simple and predictable. All our core products, including our AI Agent, Copilot, and Triage tools, are included in a single plan based on your monthly interaction volume.

Upgrade your Front AI AI Answers with a smarter, simpler solution

Front AI AI Answers is gone. Its replacement has the same core limitations, being stuck with a siloed knowledge base, and adds the headache of unpredictable pricing.

Modern AI for customer support should be controllable, trainable on all your business knowledge, and affordable. It needs to work with your existing tools, not lock you into its own little world.

For Front users looking for an upgrade, eesel AI is the ideal solution. It fits right into your current workflow, gives you powerful control and simulation features that take the risk out of the equation, and offers a clear pricing model that grows with you, not against you.

Take the next step

Ready to see what a truly modern AI support agent can do for your team? Sign up for eesel AI for free and build your first AI agent in just a few minutes.