Find It
Understand how the work actually gets done. Look for waiting, searching, re-entry, reconciliation, translation, workarounds, and manual bridges between systems.
Practical AI for operations & supply chain
AI Where the Work Gets Done
I help operations and supply chain professionals use AI to improve real work, prove the value they create, and become more valuable to their organizations.
Find It.Fix It.Prove It.
Watch “AI Where the Work Gets Done” →
30+years improving companies
13years teaching graduate students
9M&A transactions
Improve the Work.
Prove the Value. Get Promoted.
Prove the Value. Get Promoted.
Start closer to the work
AI ambition isn’t the problem.
Knowing where to use it is.
Most organizations are full of work that was rational when it was created but no longer has to be done the same way: searching, downloading, copying, reconciling, translating, re-entering, checking, and manually bridging gaps between systems.
I call it
The Stupid Stuff
Not stupid people. Stupid work.
The opportunity usually begins much closer to the work than to the boardroom.
What Stupid Stuff do you hate doing?
A practical operating framework
Find It. Fix It. Prove It.
AI can help with the solution. The harder work is knowing what is worth solving—and what the improvement is actually worth.
Fix It
Once the friction is clear, ask how AI can simplify, automate, or redesign the workflow—while keeping human judgment where it matters.
Prove It
Translate the improvement into incremental cash flow, operating performance, risk, and value. Show what changed and what it is worth.
Featured concepts
Practical ideas for seeing the work differently.
The Stupid Stuff
The repetitive, low-value work people hate doing: searching, downloading, copying, reconciling, re-entering, and checking.
Explore →The Human API
When systems do not connect, a person becomes the connector.
Explore →The Excel Shantytown
Spreadsheet sprawl is often not the problem; it is a map showing where formal systems fail to give people what they need.
Explore →The Digital Forklift
People moving digital cargo—download, clean, copy, upload, email—using warehouse-like labor in an information environment.
Explore →Jackie’s Dilemma
A capable employee loses recurring time manually bridging disconnected systems because that was once the rational way to get the work done.
Explore →The SME in the Loop
Pair AI with the subject-matter expert who already understands the work.
Concept by Ret. Col. Mark Vitantonio.Explore →Real examples
This isn’t hypothetical.
These ideas come from decades of operating experience and hundreds of graduate-student workplace projects—not invented AI use cases.
01
Billing & shipping data
Billing was delayed 5–8 days because shipping-cost data came back slowly across multiple vendors and systems.
Improvement
Consolidating vendors and imposing a next-business-day standard helped invoices go out at least four days faster.
02
Pricing disputes
A customer-service team reported spending nearly one-third of its time fixing invoice pricing.
Insight
The pain appeared downstream, but a major root cause was upstream contract and pricing setup.
03
RFP translation
A global logistics bidding process repeatedly translated customer RFP data into internal formats and back again.
Business impact
Roughly 90% of wait time sat in conversion/re-conversion, and some multi-million-dollar opportunities timed out before submission.
04
Inventory intelligence
A recurring inventory review can move from manual analysis to a repeatable Claude-enabled workflow.
Prove it
Then build a financial business case that measures the value of the improvement.
Watch
AI Where the Work Gets Done
Practical examples of how AI can improve real operational work—where to find the opportunity, redesign the workflow, and prove what the improvement is worth.
▶Start here
How to Find the Mindless Work Claude Can Automate
Learn to recognize the patterns hiding inside everyday operational friction.
▶Build it
Claude Just Changed How I Make Inventory Dashboards Forever...
From spreadsheet exports to decision-ready inventory intelligence.
▶Prove it
How to Build a Business Case With a Claude Inventory Agent
Turn a better workflow into a financial argument leaders can act on.
Why listen to Dan?
30+ years improving companies from the inside.
I’ve built, bought, sold, merged, turned around, and restructured companies with a focus on cash flow and operating performance. Today I teach what I learned—and I build the AI systems I use in the work.
See how we can work together →$150M+sales over four years while growing a startup consulting office into the largest of 37 global offices
Fortune 100client experience
9M&A transactions
4for-profit boards
3 yearsSenior Auditor at Ernst & Young
13 yearsteaching Finance & Performance Management at the University of Washington
Ways to work with me
Practical help, without the enterprise-consulting theater.
1:1 Coaching
For operations and supply-chain professionals who want help identifying high-value AI opportunities, redesigning workflows, building a credible business case, or translating their work into greater career value.
Courses & Workshops
Practical learning focused on identifying friction, building AI-enabled workflows, and proving measurable value.
Details coming soonCommunity
A practitioner community for people learning how to apply AI where work actually gets done.
Details coming soonFree resources
What Stupid Stuff do you hate doing?
Get practical examples, prompts, frameworks, and tools for finding work AI can improve—and proving what the improvement is worth.
The point
Improve the Work.
Prove the Value.
Get Promoted.
Find the friction in your work. Use AI to improve it. Then prove what the improvement is worth.