Chris Sanders
Chris Sanders
About
Detail
VP of Product and Engineering
American Fork, Utah, United States
Your data is a mess.
Your team knows it.
Your board is starting to notice.
And that AI initiative everyone’s excited about?
It’s going to fail spectacularly without clean foundations.
I help founders, CEOs, and PE operators fix this before it becomes a crisis.
After 25 years building and rescuing data systems — including a decade leading enterprise architecture at scale — I’ve seen the same patterns destroy millions in value:
Legacy systems duct-taped together
“Data strategies” that are really just dashboards
AI projects launched on garbage data
Teams handed AI tools with zero guidance on how to actually use them
Right now, I’m driving AI tool adoption with real engineering teams.
Not theory. Not demos.
Production codebases.
I know what makes developers actually use AI tools — and what turns them into expensive shelfware.
I work as a fractional CTO / CDO for companies that need senior technical leadership without the full-time overhead.
No fluff.
No 200-slide decks.
Just clear diagnosis, practical roadmaps, and hands-on execution.
What I solve:
Data modernization that actually ships
AI readiness (the unglamorous foundation work)
AI tool adoption — from pilot to org-wide
Post-acquisition integration chaos
Enterprise architecture that enables growth instead of blocking it
For engineering teams: I’m building practical resources to help developers get started with AI tools like Claude Code — because most teams are stuck at “we bought licenses” with no path forward.
If your data infrastructure is holding you back, your AI tools are gathering dust, or you’re about to make a big bet and aren’t sure the foundation is there — let’s talk.
http://www.solutionsguy.com
Your team knows it.
Your board is starting to notice.
And that AI initiative everyone’s excited about?
It’s going to fail spectacularly without clean foundations.
I help founders, CEOs, and PE operators fix this before it becomes a crisis.
After 25 years building and rescuing data systems — including a decade leading enterprise architecture at scale — I’ve seen the same patterns destroy millions in value:
Legacy systems duct-taped together
“Data strategies” that are really just dashboards
AI projects launched on garbage data
Teams handed AI tools with zero guidance on how to actually use them
Right now, I’m driving AI tool adoption with real engineering teams.
Not theory. Not demos.
Production codebases.
I know what makes developers actually use AI tools — and what turns them into expensive shelfware.
I work as a fractional CTO / CDO for companies that need senior technical leadership without the full-time overhead.
No fluff.
No 200-slide decks.
Just clear diagnosis, practical roadmaps, and hands-on execution.
What I solve:
Data modernization that actually ships
AI readiness (the unglamorous foundation work)
AI tool adoption — from pilot to org-wide
Post-acquisition integration chaos
Enterprise architecture that enables growth instead of blocking it
For engineering teams: I’m building practical resources to help developers get started with AI tools like Claude Code — because most teams are stuck at “we bought licenses” with no path forward.
If your data infrastructure is holding you back, your AI tools are gathering dust, or you’re about to make a big bet and aren’t sure the foundation is there — let’s talk.
http://www.solutionsguy.com
