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Tools & Integrations

The 5 Best AI Agent Platforms for Small Business

You're one person managing IT for 200 employees. Password resets, software access requests, equipment issues—they're all piling up while security updates and infrastructure projects collect dust.

You've heard AI agents can help. But there's a fork in the road:

  • Build your own using an AI agent platform
  • Use one that's already built for your specific problem

This guide covers both. We'll start with the platforms, then show you when it makes more sense to skip the build entirely.

What to Look for in an AI Agent Platform

Most "AI" tools just add another dashboard to your tab graveyard. Here's what actually matters when you're evaluating platforms.

  1. Does it match your team's technical skills? Some platforms require Python. Others are no-code. Don't buy something you can't implement.
  2. Can you connect it to your existing tools? You need agents that work with Okta, BambooHR, Jamf, Slack, and whatever else you're already running. If the answer is "with some API work," keep looking.
  3. Is pricing predictable? Credit-based models create budget surprises. Per-seat pricing punishes growth. Know what you're paying before you scale.
  4. What happens when it breaks? AI isn't magic. You need audit trails, human escalation paths, and clear boundaries around what it can and can't touch.

Top AI Agent Platforms: Comparison Table

Here are 5 platforms for building your own AI agents—systems that can reason, plan, and execute workflows autonomously.

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Platform Pricing Technical Level Best For Key Strength
Lindy $49.99-$299.99/mo No-code Context-aware automation AI-driven workflow adaptation
AutoGen Free/Open Source Developer (Python) Technical teams Enterprise multi-agent framework
CrewAI Free to Enterprise Developer/Low-code Multi-agent workflows Code + no-code flexibility
Relevance AI Sales contact required Low-code Sales/marketing teams Multiple LLM support
Beam AI Custom enterprise Enterprise Mid-market to enterprise Business system integration

The 5 Best AI Agent Platforms for Small Business

1. Lindy

Lindy uses AI to understand context and adapt workflows when conditions change. Unlike basic if-then automation that breaks at the first curveball, Lindy can adjust on the fly.

The visual workflow editor connects with Gmail, Slack, Salesforce, and HubSpot. You can build agents that execute across voice, chat, and email.

What it connects to: Visual workflow editor accessible to non-technical users. Handles sales, support, and operations workflows. Simple setups go quickly; complex implementations take longer.

Pricing: $49.99 to $299.99 per month with a credit-based model. You'll need to forecast usage carefully—costs can be unpredictable.

Security: SOC 2 and HIPAA certified.

Best for: Teams already comfortable with workflow automation who want AI-driven flexibility. Not ideal if you need predictable monthly costs.

2. AutoGen

AutoGen is Microsoft's open-source framework for building custom multi-agent systems in Python. Organizations like Novo Nordisk use it in production for conversational multi-agent systems.

What it connects to: Anything you can code. Custom integrations through Python mean unlimited flexibility, but you're building everything yourself.

Pricing: Free and open-source. Your cost is development time and infrastructure.

Security: Depends on your implementation.

Best for: Small IT teams with Python skills who want unlimited customization without vendor lock-in. If you don't have developers, skip this one.

3. CrewAI

CrewAI supports both no-code templates and custom Python development. Start simple and graduate to coding when you need more power.

What it connects to: Flexible deployment options that grow with your technical capabilities. Start with no-code for straightforward workflows.

Pricing: Free tier available. Pro plan offers 2,000 monthly executions with fixed quotas. Enterprise tiers run tens of thousands annually.

Security: Varies by deployment configuration.

Best for: Growing teams that want to start simple but might need custom development later. Good if your technical capabilities are evolving.

4. Relevance AI

Relevance AI offers low-code automation with CRM integrations and support for multiple LLMs. The platform focuses on prospecting, lead qualification, and customer onboarding workflows.

What it connects to: CRM integrations with multiple LLM support. Low-code approach accessible to business users.

Pricing: Requires sales contact for business-tier pricing. Budget uncertainty until you talk to them.

Security: Contact vendor for details.

Best for: Sales and marketing teams focused on revenue operations. If you're in IT operations, this probably isn't your tool.

5. Beam AI

Beam AI targets mid-market to enterprise organizations with 300+ employees. This isn't a plug-and-play solution—expect significant setup investment.

What it connects to: Deep business system integrations through custom implementation. Scalable architecture for complex requirements.

Pricing: Custom quotes reflecting tailored implementations. Less suitable for typical small business budgets.

Security: Enterprise-grade security and compliance features.

Best for: Mid-market companies with complex business systems and the budget to match. If you're a small IT team, this probably isn't for you.

Or Skip the Build Entirely

Here's the thing about AI agent platforms: they're tools for building solutions. You still need to design the workflows, configure the integrations, test the edge cases, and maintain everything you build.

That's fine if you have the time and technical resources.

But if you're part of a small IT team supporting a growing business, you don't have six months for testing and implementation. You need this working by Friday.

For IT service management specifically, there's another option: use AI agents that are already built and deployed.

Siit: AI Agents Already Built for IT Service Management

Siit is an AI-powered service desk that works directly in Slack and Teams—where your team already asks for help. No portal adoption. No training required.

The difference between the platforms above? Siit's AI agents take action, not just make suggestions. They execute complete workflows across IT, HR, and Finance without you in the middle.

How it works: Someone requests Adobe Creative Suite in Slack. Siit's AI agent pulls their employee data from BambooHR, checks their device in Jamf, verifies current access in Okta, routes approval to their manager, provisions the license once approved, updates all records, and creates an audit trail.

No building required. No Python. No workflow design. It just works.

What powers it: Siit unifies your operational data—employee records, assets, permissions, request history—so AI has the context to act intelligently. Connect your existing tools (HRIS, MDM, identity management) and AI executes with full context from day one.

What it connects to: 50+ native integrations ship ready to go—Okta, BambooHR, Jamf, Google Workspace, Microsoft Intune, Slack, Teams, Jira, Zendesk, and more.

What you get:

Pricing: $23/admin per month. No per-seat charges for employees.

Security: SOC 2 Type 2 certified.

Best for: IT teams who need AI agents for service management but don't have time to build their own.

How Do You Decide: Build or Buy?

Build your own AI agents if:

  • You have developers with Python skills (or time to learn)
  • Your use case is unique and doesn't fit existing products
  • You want full control over how agents behave
  • You have months for implementation and iteration

Use a ready-made solution if:

  • You're a small IT team without dedicated developers
  • Your problem is IT service management (not a unique edge case)
  • You need this working in days, not months
  • You'd rather focus on IT strategy than building automation tools

Start Automating IT Operations Today

Gartner predicts 40% of enterprise applications will feature task-specific AI agents by 2026. That's up from less than 5% in 2025.

Small IT teams can't afford to wait—but they also can't afford to spend months building custom agents. Siit is an AI-powered service desk that works directly in Slack and Teams. AI agents that execute work—not chatbots that point you somewhere else. 50+ native integrations. No portal adoption. No training required.

Start your free trial today.

Anthony Tobelaim
Co-founder & CPO
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FAQs

What's the difference between AI agent platforms and AI-powered products?

AI agent platforms give you tools to build your own agents. AI-powered service desks (like Siit) come with agents already built and deployed—AI that executes work across your systems, not just makes suggestions. Platforms offer flexibility; products offer speed to value.

Do I need technical expertise to use AI agent platforms?

It depends. No-code tools like Lindy are accessible to non-technical teams. Developer-focused options like AutoGen require Python programming skills. Match the platform to your team's capabilities.

How much should I budget for AI agent implementation?

Platform pricing ranges from free (open-source) to $300+/month for commercial tools. But factor in development time, integration work, and ongoing maintenance. Ready-made service desk solutions like Siit start at $23/admin per month with no build time required.

What's the biggest risk when building custom AI agents?

Scope creep and maintenance burden. Custom agents need ongoing updates as your tools and workflows change. Start with a narrow use case and expand gradually.

How long does it take to build useful AI agents?

Timeline varies by complexity. Simple workflows might take days. Multi-system integrations with edge case handling can take months. No-code platforms are faster; custom development takes longer.

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