Applied AI for consumer tech
Spinning up an AI tool is easy. Making it pay off, quarter after quarter, takes the process and people work most teams skip. That part is what we do.
"The model is the easy part. Keeping your people in the lead is the work."


Built by operators who've run growth, GTM and delivery at consumer-tech companies.
The gap
95% of AI pilots deliver no measurable impact, almost never because the technology failed. They fail because the workflow was never redesigned and the team was never trained. Spinning up the tool is the easy 20%. The durable 80%, process and people integration, is the part most teams skip. It is the only part we do.
Why this happens
AI pilots with no P&L impact
MIT, 2025
AI projects with no business value
RAND
Driver of impact: workflow redesign
McKinsey
Of difficulty is people, not tech
HBR / industry
What we do
Three services, one outcome: durable productivity gains that survive the quarter you launched them in.
How we think
Every use case gets scored on three dimensions. Two are obvious. The third, Stickiness, is the one everyone else ignores. It is why most pilots quietly die in month six.
Sample · personalization engine
DAI™
Impact
0/100
Revenue / cost moved per quarter
Feasibility
0/100
Data, integration, talent readiness
Stickiness
0/100
Process + people readiness to adopt
Verdict
High impact · redesign workflow first
The 2×2
We plot every idea on the two axes that actually decide outcomes, then build from the top-right in. What you get is a sequenced roadmap, not a hopeful guess.
Illustrative. Your real map comes out of the teardown.
Who we are
Two senior operators, in the room every week. Two decades of shipping growth and delivery at consumer-tech companies, now pointed entirely at making AI pay off. Engineering scales through our vetted partner network, scoped and managed by us.
What we think
Book a free 30-minute AI opportunity assessment. No pitch, no obligation. You will leave with at least one concrete idea.
hello@10dem.xyz