Build Custom AI Assistants Without Developers

AI announcements have become background noise for most business leaders—each one promising to "revolutionize" operations or "transform" productivity. The challenge hasn't been a lack of potential; it's been the gap between what's theoretically possible and what's practically accessible for businesses operating without dedicated development teams.

Most SMBs I talk to want AI to help them, but they've been stuck on the sidelines. Why? Building these intelligent custom AI assistants without developer teams, take months of work, and budgets that just don't make sense for a business doing $2-15M in revenue. AgentKit is trying to change that equation.

What's Different This Time?

Instead of needing a development team to stitch together five different tools, you now have three core pieces that work together :

Agent Builder is essentially a visual workspace where you can map out what you want your AI assistant to do. Drag and drop, connect the pieces, set the rules. Ramp—a corporate finance company—went from zero to a working buyer agent in a few hours using this approach. That timeline matters when you're trying to test whether something will actually work for your business.

ChatKit solves a problem most people don't think about until they're in it: building the actual chat interface. Canva's team said they saved two weeks and got their support agent integrated in under an hour. When you're a small team, two weeks is meaningful.

Connector Registry lets you link the agent to tools you already use—Google Drive, Dropbox, Teams—from one central place. No custom integration work for each connection.

Where This Gets Practical

The real question is: what would you actually use this for? Here's what I'm seeing work:

Business Function	What It Could Handle
Customer Support	Answer repetitive questions 24/7, handle basic troubleshooting, and escalate complex issues to your team when needed
Sales	Research prospects, draft personalized outreach, and qualify leads before they hit your calendar
Operations	Onboard new hires by answering their questions from company docs, and help teams find information fast
Research	Pull together market analysis, summarize long reports, and conduct initial due diligence

Klarna built a support agent that now handles two-thirds of its tickets. Clay used a sales agent and saw 10x growth. These aren't small companies, but the same principles apply on a smaller scale.

The honest truth? This won't solve every problem. But if you've been waiting for AI tools to become accessible enough to experiment with, this is the closest I've seen to making that possible without a massive upfront investment.

If you're wondering whether AI agents could support your business, that's a conversation worth having. At ALTA Consulting, we help professional services businesses identify where AI agents can help them most and build them using platforms like AgentKit, and implement them in ways that provide results