The 5 best AI tools for Salesforce teams in 2025 (including Einstein for Developers)

AI in the Salesforce world isn't some far-off idea anymore; it's part of the daily grind. While tools like Einstein for Developers are getting a lot of attention for helping write Apex code, a truly effective Salesforce team needs more than just a coding sidekick. Your developers might be shipping code faster than ever, but what about your support agents? Are they drowning in tickets? Can anyone find the right answers in your internal docs?

This guide walks you through the best AI tools that can help your entire Salesforce team in 2025. We’ll look at coding assistants that go head-to-head with Einstein for Developers, but more importantly, we’ll explore tools that automate the customer-facing side of your business, which is often where AI can make the biggest difference. Let's find the right tools for the job.

What are AI tools for Salesforce?

Simply put, AI tools for Salesforce are smart helpers designed to make life easier within the Salesforce ecosystem. They aren't all the same; they handle a bunch of different jobs for different roles.

For your developers and admins, this might be an AI coding assistant that can generate Apex, whip up test classes, or suggest code as you type. For your support and service teams, it's more about AI agents that can solve customer tickets on their own, draft replies for human agents to review, and sort incoming requests. The best ones are built to understand your specific Salesforce data and setup, giving them an edge over generic AI models.

How we chose the best AI tools for Salesforce teams

To separate the genuinely useful from the overhyped, we looked at each tool with a practical eye. We weren't interested in flashy tech demos; we wanted tools that solve real, everyday problems.

Here’s what we looked for:

• What does it actually do? We focused on the core job of the tool, whether that’s coding, support automation, or code analysis.

• How painful is it to set up? We gave extra points to self-serve tools that you can get running quickly, without a long sales process.

• Does it "get" Salesforce? How well does it handle the quirks of Apex, LWC, and your org’s data model?

• Does it make a real difference? We wanted to see clear proof that it helps people work faster or better.

• Is the price clear? No one likes hidden fees, so we prioritized tools with transparent and predictable pricing.

A quick comparison: Top AI tools vs. Einstein for Developers in 2025

Here’s a quick rundown of how our top picks compare at a glance.

Tool	Primary Use Case	Key Strength	Ease of Setup	Pricing Model
eesel AI	Customer Service & ITSM Automation	Fully self-serve, live in minutes	High	Flat monthly fee
Salesforce Einstein for Developers	Apex & LWC Code Generation	Native Salesforce integration	Medium	Included with Salesforce
GitHub Copilot	General-Purpose Coding	Mature, multi-language support	High	Per user/month
Claude 3.5	Complex Code Analysis & Refactoring	Advanced reasoning & explanation	High	Usage-based / Per user
Amazon Q Developer	AWS-integrated Coding	Deep AWS ecosystem integration	Medium	Per user/month

The 5 best AI tools for Salesforce teams in 2025

Alright, let's get into the details of each tool, covering the good and the not-so-good.

1. eesel AI

A screenshot of the eesel AI landing page, which is a top alternative to Einstein for Developers.

While most AI developer tools focus on building the product, eesel AI focuses on supporting the customers who use it. It’s an AI automation platform for customer service and internal support teams that plugs right into your helpdesk (like Zendesk, Freshdesk, or Jira Service Management) and knowledge sources. We put it at the top of our list because it tackles a huge business problem, high ticket volume, with a refreshingly simple and effective approach.

While Einstein for Developers helps you write code, eesel AI uses your existing knowledge base and past tickets to automatically resolve customer issues, draft agent replies, sort tickets, and power Q&A bots right inside Slack.

Why we picked it:

eesel AI really stands out because it's completely self-serve. You can sign up, connect your helpdesk with a click, and have it running in minutes without ever talking to a salesperson. The simulation feature is what really sold us. It lets you test the AI on thousands of your past tickets, showing you exactly how it would have performed and what your ROI would be before you turn it on for customers. It’s a risk-free way to get comfortable with automation.

The eesel AI simulation feature provides a safe testing environment, a great alternative to Einstein for Developers.

Pros:

• Live in minutes: The setup is completely self-serve, a huge contrast to the complicated onboarding most other tools require.

• You're in the driver's seat: You get to decide exactly which tickets the AI handles and what it can do, from looking up order details to escalating an issue to a specific team.

• Connects all your knowledge: It learns from everything, past tickets, help center articles, Google Docs, Confluence, and more, to give complete and accurate answers.

• No-nonsense pricing: Simple, flat-rate monthly plans without any surprise "per-resolution" charges.

Cons:

• It's not a coding tool. It’s built for support and IT teams, not for developers writing Apex.

Pricing:

eesel AI keeps its pricing simple and clear.

• The Team plan is $299/month ($239/month if billed annually) and covers up to 1,000 AI interactions, an AI Copilot for your helpdesk, and Slack integration.

• The Business plan at $799/month ($639/month if billed annually) adds the ability to train on past tickets, use custom AI Actions for triage, integrate with Microsoft Teams, and run bulk simulations.

• A Custom plan is also available for larger companies with more advanced needs.

A visual of the eesel AI pricing page, which contrasts with other tools by showing clear, public-facing costs, making it a transparent alternative to Einstein for Developers.

2. Salesforce Einstein for Developers

This is Salesforce's own AI coding buddy, built right into the platform and available as a VS Code extension. Its main job is to generate Apex and LWC code from plain English prompts and to offer inline code suggestions as you type.

Why we picked it:

Its biggest selling point is that it's a native solution. It’s trained specifically on Apex and is aware of your org's metadata, which in theory should mean it gives more relevant code suggestions. If your team is committed to using only first-party Salesforce tools, this is your go-to.

Pros:

• Native integration: It’s tightly connected to your Salesforce metadata and development process.

• Speaks Apex: It's trained specifically on Apex, so there’s less risk of it getting confused with other programming languages.

• No extra cost: It’s included with your Salesforce subscription.

Cons:

• It's still finding its feet: User feedback, like in this Reddit thread, suggests it can be a bit basic. It often handles simple logic well but can struggle with more complex unit tests.

• Limited scope: It's great for Salesforce work, but it's not going to help you with anything outside that ecosystem.

Pricing:

Einstein for Developers is included for free in all Salesforce editions (Developer, Enterprise, Performance, and Unlimited). Of course, "free" comes with the price of your Salesforce subscription, which is something to keep in mind.

3. GitHub Copilot

A screenshot of the GitHub Copilot landing page, a powerful alternative to Einstein for Developers.

You've probably heard of this one. GitHub Copilot is the most well-known and mature AI coding assistant out there. It works with VS Code and other editors to give smart code completions, suggestions, and chat-based help across dozens of programming languages.

Why we picked it:

For developers who work on more than just Salesforce, Copilot is pretty much the undisputed champ. It’s widely seen as more capable than Einstein for Developers for general coding. Many Salesforce devs prefer it because it has learned from a massive dataset, which often results in more sophisticated suggestions.

Pros:

• Polished and powerful: It frequently generates more complex and accurate code than newer, more specialized tools.

• Plays well with others: Perfect for developers who also dabble in JavaScript, Python, or other languages.

• Strong community: It benefits from being part of the massive GitHub ecosystem.

Cons:

• Not a Salesforce specialist: It can sometimes get Apex syntax mixed up with Java or other similar languages.

• No org awareness: It can't see your custom objects or fields, so its suggestions aren't as context-specific as Einstein's.

Pricing:

GitHub Copilot has a few different plans:

• Free: A limited plan for individuals with up to 50 chat requests and 2,000 completions per month.

• Pro: $10/month (or $100/year) for individuals, giving you unlimited use and access to better models.

• Business: $19/user/month, built for teams that need policy and license management.

• Enterprise: $39/user/month, which adds more customization and deeper integration.

4. Claude 3.5

A screenshot of the Claude 3.5 landing page, a strong alternative to Einstein for Developers for code analysis.

Okay, so this isn't an extension you plug into your editor. Think of Claude as a super-smart consultant you can bounce ideas off of. It's a large language model from Anthropic that's getting a lot of praise for its ability to reason through and analyze code.

Why we picked it:

Sometimes the real headache isn't writing new code, it's figuring out what that five-year-old chunk of code is even doing. We've found that Claude can be better than other models at explaining complex code and suggesting improvements. It’s great for tasks like modernizing an old trigger or untangling a confusing batch class.

Pros:

• Excellent code translator: It’s great at breaking down complicated logic into simple English.

• Great for refactoring: Ideal for spotting architectural improvements and cleaning up old code.

• A solid learning tool: It can help junior developers understand not just what the code does, but why it was written that way.

Cons:

• It's not integrated: You have to copy and paste code into a separate web page.

• Be careful with your data: You need to be mindful not to paste any sensitive or company-proprietary code into a public tool.

Pricing:

Claude has plans for individuals and teams:

• Free: A basic version with usage limits, perfect for trying it out.

• Pro: $20/month ($17/month annually) for individuals, giving you at least 5x more usage.

• Team: $30/user/month ($25/user/month annually, with a 5-user minimum) for team use.

• Enterprise: Custom pricing for large-scale use.

5. Amazon Q Developer

A screenshot of the Amazon Q Developer landing page, an excellent alternative to Einstein for Developers for AWS-integrated coding.

Amazon Q Developer is AWS's take on an AI coding assistant. It's built to work seamlessly within the AWS world, helping developers who build with AWS services and infrastructure.

Why we picked it:

If your Salesforce org relies heavily on AWS for backend services, integrations, or data storage, Amazon Q could be a fantastic choice. It understands AWS SDKs and APIs better than any other tool, which is a huge help when you're writing Apex callouts or LWC that talk to AWS.

Pros:

• Top-notch AWS integration: It provides expert-level help for anything related to AWS.

• Security-minded: Comes with features that scan your code for security vulnerabilities.

Cons:

• A bit of a one-trick pony: It's not as useful if your tech stack isn't heavily invested in AWS.

• Can be a bit chatty: Some users find its suggestions are less direct than what you get from Copilot.

Pricing:

Amazon Q Developer's pricing is straightforward:

• Free Tier: Gives you code suggestions in your editor and has limited access to advanced features.

• Pro Tier: $19/user/month, which unlocks customization, enterprise controls, and more usage for things like security scans.

How to choose the right AI tool for your Salesforce team

So, how do you pick the right tool? It really comes down to what's causing you the most pain right now. Don't just get an AI tool for the sake of it; find your biggest bottleneck and pick the tool designed to fix it.

• If your developers are getting bogged down writing boilerplate Apex, start with Einstein for Developers. It’s free and native. If it feels a bit limited, upgrade to GitHub Copilot for more power.

• If you're staring at a tangled mess of legacy code, use Claude 3.5 as a second pair of eyes to help you understand and refactor it.

• If your biggest problem is an overwhelmed support team and slow response times, a developer tool isn't going to help. That’s a clear sign you need a customer service automation tool like eesel AI, which is built specifically to cut down on ticket volume and help agents work more efficiently.

The idea is to build a full toolkit. Your developers need a coding assistant, sure, but the business also needs an engine to handle the customer-facing work.

Build a complete AI toolkit for your team beyond Einstein for Developers

So, what's the big takeaway? AI is changing how Salesforce teams work, but a single tool can't do it all. While Einstein for Developers and its rivals are great for speeding up coding, they only address one piece of the puzzle. The teams that really get ahead will use a combination of AI tools to help everyone.

By pairing a top-tier coding assistant like GitHub Copilot with a smart, self-serve automation platform like eesel AI, you can speed up development and completely change how you handle customer service. It’s time to stop thinking of AI as just a developer toy and start seeing it as a toolkit for your entire business.

Ready to see how AI can take a load off your support team? Start a free trial of eesel AI and see for yourself how quickly you can reduce ticket volume.

This video explains how Einstein for Developers can make you more productive.