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Data and AI
July 28, 2025

Field Notes: The Day AI Killed the $300/Hour Consultant

Haseeb Minhas
5 min read
The Proposal That Changed Everything


Picture this: It's Tuesday morning, and I'm staring at a proposal that had left my coffee cold.

My client in the Cayman Islands needed to comply with CIMA’s tightening cybersecurity standards or risk losing their license.

I'd been on this road before. Each country spins up its own flavor of “cybersecurity governance,” and the Caymans, being a financial nerve center, don’t mess around.

So, I did what I always do. I went hunting for a local expert who knew CIMA inside out.

And sure enough, the pitch landed:


"Six to eight weeks of discovery at $300/hour. We'll craft a bespoke Cloud Security & Governance framework specifically tailored to CIMA's regulatory expectations."

$24,000. For discovery. Before they'd even started building anything.

The consultant had every credential imaginable: CISSP, CISA, CISM, plus specific experience with Caribbean financial regulations. Professional letterhead, case studies from other offshore financial centers, the works. On paper, they were exactly what we needed.

But I kept thinking about Sarah's runway. Three months earlier, she'd mentioned how every dollar was being stretched, how they were choosing between hiring another developer or extending their cash flow another quarter. This wasn't just another line item for them. This was real money that could fund product development for months.

The Uncomfortable Truth


Here's what hit me as I stared at that proposal: I'd been outsourcing this work for years because I assumed each jurisdiction was too specialized, too complex for us to handle internally.


But what if that assumption was wrong?

What if AI could help us understand CIMA's specific requirements just as well as a $300/hour consultant? What if we could build a framework that satisfied their regulatory needs without burning through Sarah's runway?

The consultant was selling complexity. I could offer clarity.

So I did something that probably violated every sales manual ever written. I picked up the phone and called Sarah directly.


"What if we could build this framework using your existing data and our AI capabilities? No eight-week discovery phase, no $300/hour fees. Just results."

The silence on the other end lasted about three seconds. Then: "You think we can actually do that?"

What happened next took five hours, not eight weeks:


I built a multi agent LLM pipeline that ingests standards, cross maps them to live cloud posture, added board-level metrics, ran it past an engineer, and shipped it the next day.

Total elapsed: 5 hours, not 8 weeks. Clear outcome. Zero unnecessary spend.

Powered by Azure OpenAI, LangGraph orchestration, Pydantic schema enforcement, and the BITSUMMIT guard-railed prompt library.


The client's reaction? "This is the first framework we actually understand."


That's when I realized I was watching an entire business model get disrupted in real time. The consultant was selling scarcity, banking on the assumption that regulatory expertise couldn't be commoditized. But AI had just made that assumption obsolete.

The Real Cost of Artificial Scarcity


Sarah's comment stayed with me for days: "This is the first framework we actually understand."


The traditional consulting model had created artificial scarcity around information that should have been accessible. Those eight-week timelines weren't about delivering better results. They were about maintaining the illusion that regulatory compliance was too complex for ordinary business owners to grasp.


But here's what really bothered me: How many other startups were burning through their runway on "expertise" they could have accessed directly? How many promising companies never made it past their first compliance audit because they couldn't afford the gatekeepers?


The $300/hour consultant wasn't evil. They were trapped in a system that rewarded complexity over clarity, process over results. They had built their entire value proposition around knowing things that others didn't, rather than helping others understand what they needed to know.

What Changes Now


Three weeks after delivering Sarah's framework, I got a call from another client. Same story. Cayman Islands fintech, CIMA compliance requirements, hunting for consultants.

But this time, I didn't even wait for the proposals.

"What if we built this ourselves?" I asked.

"You mean... we can do that?"

"We just did it for Sarah. Took five hours, not eight weeks. And she actually understands what she's paying for now."


That's when it hit me: we weren't just changing how we delivered consulting services. We were changing what consulting could be.


Instead of eight-week discovery phases, we could deliver understanding in real time. Instead of complexity for its own sake, we could offer clarity that actually empowers our clients.


The age of artificial scarcity is ending. The question now isn't whether AI will disrupt consulting. It's what we choose to do with that disruption.

The masks are coming off, and it's not pretty.

The old world is ending.

Are you ready for what comes next? 

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