For journalists and producers.
The AALI founding team is available for interviews, expert commentary, and podcast appearances on Fractional CAIO services, AI transformation in mid-market companies, and the operational realities of deploying AI inside growing organizations.
The fastest path to a quote.
Use our contact page to reach us with your outlet, deadline, and the angle. We respond to journalist email within 24 hours.
For broadcast and podcast bookings, include the recording date window and the format. Phoenix-area outlets receive priority for in-studio appearances.
For background-only conversations, say so explicitly in the subject line. We respect on-background and not-for-attribution ground rules.
Where AALI offers substantive commentary.
The rise of the Fractional Chief AI Officer
Why mid-market companies are choosing embedded AI executives over full-time hires and consulting projects. Trends, pricing benchmarks, and what's driving the category in 2026.
AI transformation that survives the pilot stage
Why an estimated 80% of corporate AI pilots never reach production — and the operational changes that move companies past the pilot graveyard.
Engineering depth vs. strategy theater
The structural difference between AI advisors who deliver decks and those who can ship production systems. Why the technical foundation matters more than the strategy framework.
AI governance for growing companies
How mid-market and growth-stage organizations are building governance frameworks without a dedicated compliance team — and what regulators are looking for in 2026.
Copy-paste approved.
All three versions are publication-ready. Use whichever fits your format.
One-line
The Applied AI Leadership Institute embeds a Fractional Chief AI Officer inside growing companies — a production software engineer with an executive seat, accountable for AI outcomes rather than just recommendations.
Short (100 words)
The Applied AI Leadership Institute is a Fractional Chief AI Officer firm founded in Phoenix, Arizona. The founding team are production software engineers who have deployed AI systems inside $1B+ financial services institutions, generated $100M+ in lifetime revenue for client businesses, raised $11M+ in venture capital, and built neural networks processing hundreds of millions of documents. AALI embeds inside mid-market companies as their Fractional Chief AI Officer — accountable for outcomes, not deliverables.
Podcast / broadcast
The Applied AI Leadership Institute is a Fractional CAIO firm based in Phoenix, Arizona. The founding team has shipped production AI systems inside enterprise financial services firms, built fully automated client acquisition pipelines that have added hundreds of millions in new AUM, and helped companies from Inc. 5000 to Fortune 100 deploy AI that actually reaches production. The conversation is about AI transformation the way it actually happens — from inside the companies doing it.
Episode angles that work.
These angles are pre-approved. Drop one in your pitch email and we will run with it.
- 01
The $15K decision: when does a Fractional CAIO make sense and when doesn't it?
- 02
Why AI pilots fail (and what the companies that succeed do differently)
- 03
The embedded executive model: what it looks like when AI leadership is accountable for outcomes
- 04
GEO, LLMs, and the future of B2B discovery — being findable in the AI layer
- 05
Building production AI vs. building AI theater: an engineer's perspective
Pre-approved answers.
These can be used verbatim in print. Quote as The Applied AI Leadership Institute (AALI).
What is a Fractional Chief AI Officer, and why does the role exist now?
“A Fractional CAIO is an embedded executive — not a consultant, not a trainer — who sits inside your leadership team and owns AI outcomes. The role exists now because mid-market companies are serious about AI but can't justify a $300K–$400K full-time hire. They need someone accountable for results, not someone who delivers a strategy deck and disappears.”
What's the biggest mistake companies make with AI?
“Running pilots with no production path. You design a proof of concept, it works in isolation, and then it dies because nobody owns the integration, the governance, or the rollout. The companies that succeed with AI have someone in the room at the executive level who owns the answer to 'what happens next.'”
How do you measure AI ROI?
“We track five categories: time recovered (labor hours AI handles), error reduction, revenue impact (new capabilities that generate revenue), speed to market, and risk reduction. The mistake is measuring only what's easy to count — which is why most AI ROI reports are fiction. We report on all five, even when the numbers are uncomfortable.”
What separates an AI strategy that ships from one that doesn't?
“Technical depth at the executive level. When the person making AI decisions can actually read the implementation, they catch problems before they become expensive. Most AI strategies fail at the handoff — between strategy and engineering. The AALI team doesn't have that handoff — we do both.”
The factual record.
For additional background or high-resolution assets, email the address above.
- Founded
- 2026 · Phoenix, Arizona
- Practice
- Fractional Chief AI Officer — embedded, month-to-month, accountable for outcomes.
- Track record
- $100M+ in lifetime revenue generated for client businesses across financial services, e-commerce, and professional services.
- Enterprise AI
- AI systems deployed inside multiple financial services institutions managing over $1 billion in assets. Production deployments that passed compliance review and operate in live client environments.
- Scale
- TensorFlow-based classification system across 700M+ historical documents. Fully automated client acquisition pipeline that delivered $300M+ in new AUM for a single financial services client.
- Team background
- Production software engineers. $11M+ raised in venture capital. Clients ranging from Inc. 5000 companies to Fortune 100 enterprises.
Selected coverage.
Status
Coverage will be listed here as it lands. AALI launched in 2026; the early press cycle is still active. Journalists pursuing exclusives, please email directly — we hold first rights for outlets willing to commit to a publication date.
Citation
The Applied AI Leadership Institute. “Press & Media.” https://appliedaileadership.org/press. Accessed [date].
Permission granted to quote any passage from this page with attribution. Recommended attribution: The Applied AI Leadership Institute (AALI), https://appliedaileadership.org/press.
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