About Signal Finder
Every week, I read the same AI headlines you do.
Vendor launches. Benchmark wars. Partnerships announced with words like “ecosystem” and “platform play.”
Then I walk into work or talk to a colleague in the industry or discuss this in a customer advisory board and deal with what’s actually happening i.e. the shadow AI nobody governs, the pilot that succeeded and still can’t scale, the SaaS renewal that costs 480% more despite per-token prices falling 280x.
Signal Finder is where I work through that gap in reality.
I share original, thesis-driven analysis on enterprise AI, the stuff that changes how technology and operations leaders think about their budgets, their teams, and their architecture decisions.
I argue positions. I share them.
When the evidence changes, I’d be the first one to update them publicly.
I’m Karthik Ramadoss. Twenty-five years in enterprise technology — architecture, cloud, digital transformation & AI implementation — mostly in financial services and insurance. I lead technology at a global insurance brokerage.
Transparency Note: Signal Finder is a personal research project where I process the evolving AI landscape in public. While I draw on my 25 years of experience in the industry, the analysis and positions shared here are strictly my own and are not endorsed by or representative of my employer’s official stance.
I started this space because I kept reading AI coverage written for people who don’t run anything.
Analyst reports that cost $30K and say “it depends.”
Vendor blogs that promise the moon.
X threads from people who’ve never had to explain an AI budget to a CFO.
The leaders I work with need the three findings that matter out of an 80-page report. They need someone who’ll say “this is what I’d do” instead of “here are some considerations.” That’s what I try to be.
I’m also learning out loud.
I don’t have this figured out and I believe nobody does. But processing it in public makes me sharper, and the conversations that come back make me smarter.
What you’ll find here:
Why AI implementations fail (spoiler: it’s rarely the technology)
Enterprise vendor strategy — who’s bundling, who’s bluffing, and what your renewal actually costs
What’s happening to jobs, hiring, and org charts — not the headlines, the data
Shadow AI, security and governance — the gap between what companies say and what employees do
The SaaS pricing transition nobody’s managing well
I’m also a dad. My 15-year-old is growing up in a world where AI is just part of the furniture (literally, beds have them now).
And for joy, I travel, cook, photograph, ride my motorcycle, go on long walks while listening to podcasts and start my day and end my day reading a few pages of a book.
That shapes how I think about all of this!
Start here — three posts that show what this newsletter does:
Secret Cyborgs Are Already Running Your Company — 78% of employees use unapproved AI tools. Their managers do too.
The Token Paradox — AI prices collapsed 280x. Enterprise bills rose 480%. The math that explains why.
The Fifth Revolution — 250 years of evidence for what happens when a new technology attacks cognitive work first.
Every post is free. I publish weekly and often more than once a week.
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Find me on LinkedIn or X (@KIntheHouse) or IG (@kart.ram).
