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Building a Custom Agent Framework to Replicate the Small Business Consulting Workflow

What if an AI could walk through a client engagement the same way a consultant does - asking the right questions, identifying the right problems, and recommending the right starting points? Here's how I'm building that.


This post is a work in progress. I'm publishing it early to share what I'm building and why.


When I sit down with a new small business client, I follow a pretty consistent process. Ask about the biggest time drains. Understand what already exists. Look for the quick wins. Figure out where the real leverage is.

It's not magic - it's a repeatable workflow built from pattern recognition across a lot of similar businesses.

So the obvious question: can that workflow be encoded into an AI agent?

What I mean by "agent framework"

Not a chatbot. Not a form. An actual multi-step AI workflow that can:

  1. Gather context - ask the right intake questions in the right order
  2. Identify bottlenecks - cross-reference answers against known patterns for small business pain points
  3. Generate a prioritized recommendation - what to automate first, what to ignore, what to come back to later
  4. Produce a deliverable - something the business owner can actually act on

The goal is to replicate the output of a 60-minute Clarity Session, structured the same way a consultant would structure it.

Why this is interesting

Most "AI for small business" tools are either generic chat or narrow point solutions. Neither reflects how a consultant actually thinks.

A consultant doesn't just answer questions. They follow threads. They notice what the client doesn't mention. They push back when an answer doesn't add up. They sequence recommendations based on what a business can actually absorb.

That's the workflow I'm trying to encode.

What I'm building

More detail coming as the build progresses. The short version:

  • A structured intake agent that adapts its questions based on business type and prior answers
  • A pattern-matching layer that maps answers to known opportunity categories
  • A report generation step that produces a plain-English summary with ranked recommendations
  • Integration hooks so the output can feed directly into follow-up workflows

What comes next

I'll be posting updates as this develops - what's working, what's not, and what I'm learning about the limits of encoding human judgment into an automated workflow.

If you're a small business owner curious about what this could do for you, or a developer interested in the agent architecture, reach out.


Building something similar? Working on AI workflows for professional services? I'd like to hear about it.

Want to put this into practice?

Book a Clarity Session - 60 minutes and you'll know your next step.

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