From AI Mandate To Funded Roadmap
- UX-First
- AI-Native
- User-Loved
Product, design and engineering in one principal-level team. Four weeks from AI chaos to a roadmap your leadership will fund.
No deck required.
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5+
Fortune 500 clients
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50+
Completed projects
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500+
Patents secured by the founding team
The problem
Enterprises have AI pressure, not AI clarity.
The mandate comes from the top, the customers are asking, and the teams are already full. What is usually missing is not the idea. It is the structure, the evidence, and the narrative that get leadership to fund it.
It is not a hunch. The same gap turns up wherever anyone measures it.
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88%
88 percent of organizations now use AI in at least one function. Only 39 percent report EBIT impact at the enterprise level.
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90%
More than nine in ten companies will keep investing in AI at current or higher levels even if it does not pay off within the year.
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22%
Only 22 percent of companies have moved past proof of concept. Four percent are creating substantial value.
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40%
More than 40 percent of agentic AI projects will be canceled by the end of 2027, on escalating cost, weak risk controls and unclear business value.
What we do
Three ways in.
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Agentic Engineering Pod
Your highest-priority AI product in production, not in a deck. A principal-level product, design and engineering pod embeds with your team and builds it. One team, one problem, shipped. No hand-off to a delivery layer, no hiring ramp, and no discovery phase that ends in a recommendation.
Book a call -
Product Organization AI Accelerator
Four weeks from AI chaos to a roadmap your leadership will fund. You leave with the sequence, the evidence behind each bet, and the narrative that survives a budget conversation. We align on tools, find where the value actually sits, and decide what gets built and what does not.
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Innovation Workshop
The decision your team has been circling for months, settled in a working session. Frame a problem space, build an MVP, set OKRs, plan a program increment, or capture and protect IP. You leave with the artifact, not with a page of notes.
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IP and Innovation · Google Ventures Product Sprint · Design Thinking · Organization OKRs · PI Planning
How we work
Make it. Break it. Learn. Make it again, faster.
A pottery class is split in two. Half the students are graded on how many pots they make, half on perfecting a single one. The quantity group makes the better pots. That is how we run an engagement: cheap tests beat long planning, a prototype beats a perfect spec, and nothing is precious.
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01
Iterate.
Smash and rebuild. Never precious.
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02
Experiment.
Cheap tests beat long planning.
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03
Ship fast.
A prototype beats a perfect spec.
We use the same system ourselves
We build our own products with it.
Fyve Labs conceived, patented, built, and shipped Tessa, an audio-only AI companion for caregiving families. Hardware, a mobile app, and a care-facility console, with patent filings behind it. Same trio model, same loop we run for clients, tested on our own money first.
Why Fyve Labs
Four things that reinforce each other.
Our approach is built on four key pillars that reinforce each other to create impactful AI-driven solutions.
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Tech Innovation
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Business Alignment
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User Empathy
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Insights
The founders
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James Pratt, Ph.D.
Psychologist and data scientist
Former AI UX Director at AT&T Labs. AI platform builder with 300+ patents and 17 years in human factors.
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Carl du Plessis
Product lead
Product storyteller with multiple 0-to-1 wins. Ten years scaling data and operations at AT&T Labs.
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Brandon Gibbs
Full-stack and technical operations
Veteran full-stack engineer with 20 years across startups and scaled Fortune 50 enterprise platforms.
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Jared Laprise
Technical architecture
Twenty-year tech architecture leader. Built and scaled product businesses across multiple verticals.
Tell us what you are working on.
A call is the fastest way to find out whether we can help. Thirty minutes, no deck required.
Book a 30-minute call