Independent strategy & decision diagnostics

From complexity to a clear next move.

Enterprise AI, automation, technology, and process decisions rarely fail in one neat silo. I help leadership teams see the whole system before they commit significant budget, implementation effort, or organizational capital.

AI • Automation • Technology • Process Senior-level diagnostic engagements for leaders asking:
Should we automate this? Build, buy, or integrate? Is it production-ready? What are we missing?
The problem

Usually, technology isn't the problem.

The wrong process is being automated. The wrong tool is being selected. The economics don't work. Or the operating model, controls, adoption, and downstream implications haven't been thought through deeply enough.

01

Should we automate this at all?

Before selecting technology, test whether the process itself is worth preserving, redesigning, or eliminating.

02

Should we build, buy, or integrate?

Separate vendor promises from operating reality, architecture, controls, economics, and organizational fit.

03

Is this AI application actually ready for production?

Working software is not the same thing as production-ready software. Review the gaps before they become operating problems.

04

What are we missing?

Cost, controls, adoption, data, vendors, architecture, ownership, and workflow dependencies collide. The job is to see the whole picture.

Current engagements

Short, senior-level diagnostics. No consulting treadmill.

I don't sell open-ended consulting engagements or staff augmentation. I work in focused sprints designed to help leadership teams get clarity quickly.

01

AI & Automation Opportunity Diagnostic

For teams deciding where AI or automation can actually create value — and where it will simply automate the wrong thing faster.

  • Process and use-case review
  • Opportunity and constraint assessment
  • Prioritized next-step roadmap
02

Executive Build vs. Buy / Architecture Decision Sprint

For leaders facing a technology decision with too many vendors, assumptions, dependencies, and competing opinions.

  • Decision criteria and trade-offs
  • Build / buy / integrate assessment
  • Executive recommendation
03

AI-Built App Risk & Production Readiness Review

For applications that work in demo mode but need an experienced review before they are trusted with real users, data, and operations.

  • Architecture and dependency review
  • Controls, privacy, cost, and operating-risk review
  • Production-readiness findings and priorities
Why Amplification Institute

I have a sixth sense for when a technology project is going to fail.

I've spent 24+ years working across enterprise finance and technology from nearly every side of the table: Fortune 200 buyer and operator, Big Four advisor, enterprise software leader, digital practice president, and hands-on software builder.

That perspective matters because enterprise technology decisions rarely fail in just one silo. Finance, process, data, security, controls, vendors, users, and operating models all collide.

My technical foundation spans enterprise finance and computer science. Earlier in my career, frustrated by the cost and delay of getting basic reporting built, I convinced my VP to send me back to school for computer programming. That instinct has stayed with me: understand the problem deeply, then design the simplest system that actually solves it.

You know the old advice to carry an umbrella so it won't rain? I'm the umbrella.
24+ yearsenterprise finance & technology
Fortune 200buyer and operator perspective
Big Fouradvisory experience
Hands-oncurrent AI-assisted product building

Have a messy AI, automation, product, or workflow decision?

If you need an experienced outsider to tell you what you're missing and help you get to a clear next move, let's talk.