AI opportunity mapping
Find the decisions, delays, and repeated work where AI can create a real operating advantage.
OutputA prioritized opportunity map
AI for people who run things.
Clear notes on what's useful, what's noise, and what actually holds up.
Butch Tanseco — Manila
Not a tech company. Real operations.
Seventeen-plus years running businesses in the Philippines — trading, manufacturing, infrastructure. Litrad Inc. JVT Corporation. Halden Systems. Not a developer. Not a consultant. An operator.
I write down what happens.
Wins and failures, in public. No polished frameworks, no promised transformations — just what actually happened, posted as it happens.
I test on my own companies first.
Before I bring AI into anyone else's business, I try it here — on the ones I actually own and run. What doesn't hold up doesn't get recommended.
Your business, looked at this closely.
Sixteen questions. Seven minutes. A straight answer on where AI actually fits in your business — and where it doesn't.
At any scale, the question's the same.
Whether it's the whole business or one part of it — does it actually work. That's what all of this is trying to answer. Working on AI adoption in your business? Get in touch.
What I help with
Put AI to work where the work is.
The goal is not more software. It is a better way to operate: less friction, stronger decisions, and systems people will actually use.
Workflow automation
Turn one high-friction process into a focused pilot your team can test in the work itself.
OutputA useful system in the hands of users
Knowledge systems
Make scattered documents, expertise, and operating context easier to find, use, and improve.
OutputKnowledge that compounds
Team enablement
Give people the judgment, guardrails, and practice they need to use AI with confidence.
OutputCapability that stays with the team
How an engagement works
Start with the operation, not the model.
Diagnose the operating system
We map how the work actually moves, where it stalls, and what information people need to make decisions.
Build one useful pilot
We choose a narrow, valuable workflow and build the smallest version that can prove whether the idea holds up.
Embed the capability
We document the system, train the people around it, and define how the team will govern and improve it.
Built from the operator's side
Advice shaped by businesses, not a demo environment.
I have spent more than 17 years running businesses in the Philippines across trading, manufacturing, and infrastructure. Today, I test AI systems against the same constraints owners and teams face: incomplete information, busy people, and work that still has to ship.
That operator perspective keeps the work practical. We begin with the business problem, prove value in a real workflow, and keep a human accountable for the result.
Field notes
Learning in public.
Practical notes from applying AI to operations, knowledge, and adoption—what worked, what did not, and what changed my mind.
LATEST FIELD NOTES
3 entriesA useful place to start
Find where AI can earn its place in your business.
Answer 16 questions and get a personalized AI fit report in seven minutes. No pitch deck required.