Decision Infrastructure for Strategic Bets
Clear signals for when to Commit, Correct, or Cut
The Precoil Experiment Library changes that. It’s an AI-ready dataset of 50+ validated business experiments designed to train copilots, agents and innovation systems to make evidence-based recommendations that drive measurable results.
The result?
AI that helps teams make smarter decisions faster
Upcoming Events
AI Decision Lab
Stop Guessing. Start Testing.
March 21st
10:00am - 1:00pm PDT
Online via Zoom
A Hands-On Workshop Using PrecoilGPT to Prepare a Defensible Strategic Bet
AI is accelerating idea generation and prototype development. But speed does not reduce risk. Teams still struggle with one critical question:
Which bets deserve commitment?
In this 3-hour, hands-on workshop, you’ll use PrecoilGPT to extract the assumptions behind your most important strategic bet, map the risks across desirability, viability, and feasibility, and design focused experiments to generate evidence before you decide.
This is not a lecture.
You will work on a real decision you are actively facing.
By the end of the session, you’ll have:
A prioritized list of critical assumptions
A visual risk map across desirability, viability, and feasibility
A targeted experiment designed and ready to run
A clear path to Commit, Correct, or Cut with confidence
This workshop uses the same structured system behind the Precoil AI Experiment Library.
Who Should Attend
Consultants and advisors guiding high-stakes decisions
Innovation and strategy leaders responsible for growth bets
Product and program managers preparing investment cases
Founders and entrepreneurs navigating uncertainty
The decision standard for these leading global companies.
Discover our client case studies and insights
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![DuPont Precoil Case Study]()
DuPont
DuPont partnered with Precoil to drive $24MM in new revenue, $12MM in cost savings, and institutionalized evidence-based portfolio management across 100% of business lines. Learn how they use the EMT System to drive new growth.
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![Darren Stoddart]()
Behr
When Darren Stoddart was leading innovation at Behr, the company had made a bold move, to detach an innovation function from the core business. The goal was clear, work on opportunities that were riskier, less defined, and further from the core.
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![Dave Masters]()
Realtor.com
When Dave Masters, Senior Director of Product at Realtor.com, hit a crossroads on a major product bet. Through structured assumption mapping and a deliberate testing toolkit, they saved time and reduced risk.
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![Adobe Precoil Case Study]()
Adobe
Adobe didn’t iterate by guessing, they mapped their assumptions and ran focused tests that built clarity and confidence. This became one of their most successful apps of all time, Adobe Express.
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![HP]()
HP
HP is at the crossroads of hardware and software. They know opportunity cost of building the wrong thing is hundreds of millions of dollars. Learn how they use low fidelity experimentation to de-risk their products and experiences.
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![Precoil Toyota Case Study]()
Toyota
Toyota is pushing the boundaries of what it means to be a car company by testing new innovations in mobility. Rapid testing of their mobile gas payments project led to a decision that saved over $35MM in implementation costs.
David J. Bland is the lead author of Testing Business Ideas and creator of the Precoil EMT System, a decision readiness standard for executive growth decisions.
Precoil installs the operating cadence that turns experimentation into disciplined Commit, Correct, or Cut decisions on high uncertainty investments.
Testimonials
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![Darren Stoddart]()
"David helped us build a bridge that allowed a front end of innovation in a manufacturing firm to behave at a pace 10 times faster than ever before."
Darren Stoddart - Senior Director of Innovation at Behr
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![Alexa Dembek]()
“David is our journey partner for fast-learning and de-risking. He helps us keep innovation and sustainability priorities interwoven to find new value and growth.”
Alexa Dembek - Chief Technology and Sustainability Officer at DuPont
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![Vinuth Rai]()
“David’s advising helped us apply lean startup to our new mobility products and services, by rapidly testing them in the market.”
Vinuth Rai - Director of Connected Services Division at Toyota InfoTechnology Center
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![Dave Masters]()
"David guided us through a robust process to shape our thinking. We extracted our assumptions, tested our ideas and reduced our risk."
Dave Masters - Senior Director of Product Management at Realtor.com
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![Aaron Slessinger]()
"When David gave us cardboard, I wasn’t sure what we were looking at... but it works. We now use it to test our curved displays with customers before we start building."
Aaron Slessinger - Vice President - Consumer Print Product Portfolio at HP
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![Scott McLeod]()
"I took what David taught me into my career for the next 10 years. How do we test and learn with the least amount of money?"
Scott McLeod - Chief Creative Officer at Resident
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![Tim Draper]()
"David trains our superheroes on how to rapidly validate their startup ideas in the market."
Tim Draper - Silicon Valley Venture Capitalist
Have AI Zombie projects in your portfolio?
Take the Zombie Project Assessment and find out what to do next.
THINK BIG, test small.
Whether you’re funding an AI initiative, entering a new market, or committing capital to a major strategic shift, the real risk isn’t ambition, it’s investing before assumptions are clear.
Unexamined uncertainty compounds. What feels like momentum early becomes expensive, personal, and difficult to reverse later.
Decision infrastructure makes risk explicit, shared, and testable before capital, headcount, and reputation are on the line.
When you break down what must be true, align on what matters most, and test the riskiest assumptions first, big bets become manageable decisions, not irreversible gambles.
Let’s Clarify Your Next Strategic Bet
If you’re navigating a high-impact decision, share a bit of context. We’ll review and follow up to determine the right next step.