Partner
Builder
Writer
Fractional · 2026
Most AI pilots don’t make it to production. The problem isn’t the model — it’s the loop.
I’m Aparoop. I help mid-market organizations build the operational loops that turn AI pilots into production systems. I also build them myself — Tickerly is the latest. I write The Loop weekly about what actually ships. Fractional engagements. Working systems. Accountable to outcomes.
01
The premise
70% of AI success or failure in enterprises is change management — not the model, not the vendor, not the tooling. The gap is muscle. The companies that win don’t pick the smartest tool. They pick the one their people actually use a year from now.
I help build that muscle in two directions. Top-down: mindset, governance, executive alignment, the courage to retire what isn’t working. Bottom-up: workflows, adoption, the operational loops that make new behaviors stick.
Two outcomes show up on the P&L:
→ Cost of services trending down (efficiency unlocked, not just demos shipped)
→ User adoption trending up (employees actually using the system, not just executives buying it)
Everything I do for clients — orchestration architecture, loop design — is in service of those two numbers.
02
What I do
Fractional
CAIO
Chief AI Officer, part-time
Strategic AI leadership for mid-market companies that can’t justify a full-time CAIO hire. Board-ready reports, vendor selection, roadmap design, risk framing, hire-or-build calls.
10–20 hrs/week · 3–6 month minimum
Orchestration
Architecture
End-to-end AI system design
Agents, pipelines, evaluation loops, cross-functional data flow, guardrails. Delivered as working reference architecture integrated with your stack — not a PowerPoint.
Fixed-scope engagements · 6–12 weeks
Operational
Loop Design
Feedback loops for deployed AI
For teams with models in production but no calibration layer. I diagnose what’s missing — evaluation, drift detection, self-correction, human-in-loop gates — and implement the missing layers.
Diagnostic + implementation · 4–8 weeks
Read the full thesis →
03
What I’m building
Tickerly · Personal AI project
I built myself an AI Financial Analyst.
Tickerly is a personal AI project I’m running against my own capital. I trade options actively, and the standard toolkit kept letting me down. So I built one that doesn’t. Phase 1 is single-operator validation. What comes after gets decided once Phase 1 teaches me something.
04
The Loop
Newsletter · Weekly
The Loop by Aparoop
For people who need a radar more than another vendor. A weekly note on AI transformation patterns — what’s shipping, what’s stalled in pilots, and the change-management muscle that separates the surviving 30% from the rest. With dispatches from building Tickerly against my own capital. Published on LinkedIn.
Subscribe on LinkedIn
→
No fluff. No re-treads of headlines. Reply if you want to argue.
05
Who I partner with
Mid-market organizations ($100M–$1B revenue), typically engaged by:
CEOs & COOs
Who need AI to deliver operating leverage, not just press releases.
Newly-appointed CAIOs / CDOs
Who inherit a pilot-heavy portfolio and need to move to production.
PE operating partners
Pressure-testing portfolio companies’ AI roadmaps and value-creation plans.
Engineering leaders
Whose teams have models in production but lack the orchestration to iterate on them safely.
06
Engage
Inquiry · Fractional engagement
Two engagement slots open. What are you trying to ship?
A short note about your situation is enough to start. I reply within 48 hours; a 30-min scoping call follows if there’s mutual fit.
Form delivered via Formspree. No tracking pixels, no analytics. Replies come from a human (me).
Built by a human, with AI coworkers. One operator, a stack of AI tools, turned what would have been a team into a workbench. Orchestrating humans and AI in the same workflow is the discipline. It’s also what I bring to client work.