Enterprise AI Adoption
You can't become AI-native
with a few rushed AI hires.
95% of businesses are burning cash on AI. It's not a model problem — it's a people problem. A talent problem. A training problem. Block 9 makes your whole organization AI-native — not by hiring one person to figure it out alone, but by embedding forward-deployed engineering teams that train your people on production-ready AI, on-site, solving the problems your type of business actually faces.
This is for you if you were hired into a role with "AI" or "Artificial Intelligence" or "Innovation" in the title — less than 3 months ago — and you're expected to lead transformation without a playbook, without an audit of what's actually broken, and without knowing which problems AI can actually solve in your business.
The Real Problem
Not a model problem. A people problem.
01
You can't hire your way out
AI engineers don't understand your business. The ones who do cost $200K+. The ones you can afford need 6 months just to learn your industry. Every new hire upskills and leaves within 18 months — 50–100% salary jump.
02
You can't train your way out
Coursera and Udemy don't produce enterprise-ready people. Async, English-only, zero accountability. 96% of workplace training produces no measurable impact. Your team needs production-ready AI — trained on your problems, on your stack.
03
You can't bandaid it with 1 hire
The Head of AI you just hired can't do it alone. They need the whole org to understand what AI can and can't do. Without that, they burn 18 months on internal education and leave for a company that already gets it.
04
Remote teams can't collaborate
Distributed AI teams have no loyalty, no shared context, and no stake in your outcomes. You invest in them. They leave. You're stuck rebuilding. AI-native means your own people, trained together, on-site, on real problems.
95%
of businesses are burning cash on AI right now. It's not because the models aren't good enough. It's because the people aren't ready. You can't audit systems you don't understand. You can't solve problems you haven't diagnosed. You can't become AI-native by hiring your way out of a training gap.
How Block 9 Fixes It
Three offers. Each one moves you closer to AI-native. Start wherever you are.
01
Intro Offer — No Commitment
The AI-Native Dinner
One evening. Real conversations. Zero pitch decks.
"Join us for dinner. Poker, if you play. The room is small — 10–15 enterprise leaders, same stage as you. On the other side of the table: forward-deployed AI engineers who've actually shipped production AI in your industry. No slides. No demos. Real conversations about the problems your type of business actually faces — and what it took to solve them. Meet the people who do the work. See if it makes sense for your org. No commitment beyond showing up."
Dream OutcomeWalk out knowing what production-ready AI looks like for YOUR industry — from people who've done it, not vendors selling it
Perceived LikelihoodNo pitch. No slide decks. Real engineers who shipped real AI. You can ask anything. Zero risk of being sold.
Time DelayOne evening. Dinner starts at 7. You're home by 10.
Effort & SacrificeYou show up. We host. Food, drinks, poker if you want in. No prep. No follow-up required.
02
Bridge Offer — Fixed Scope
The AI Readiness Audit
14 days. Know exactly where AI fits — and where it doesn't.
"Before you spend another dollar on AI, know what's actually broken. We audit your systems, your data, your workflows, and your team's current capability. Not a generic assessment. Forward-deployed engineers who understand your industry map the problems AI can actually solve — and the ones it can't. You walk out with a prioritized roadmap: what to fix first, what to ignore, and what needs real engineering vs. what's a training problem."
Dream OutcomeA prioritized roadmap of AI opportunities — not a vendor's wishlist. Problems AI can actually solve in your business.
Perceived LikelihoodReal engineers who've shipped production AI. Not consultants. Not trainers. People who build.
Time Delay14 days from start to roadmap in hand.
Effort & SacrificeYou give us access. We do the work. One check-in call mid-way.
03
Core Offer — Full Engagement
The AI-Native Sprint
8 weeks. Your people, trained on-site, on your real problems.
"We embed forward-deployed AI engineering teams on-site at your company. They train your people — not on generic AI concepts, but on the specific problems your audit uncovered. Your marketing team learns AI for marketing. Your ops team learns AI for ops. Real problems, real data, real stack. At the end of 8 weeks, your org doesn't have 'some AI knowledge' — it has people who can evaluate, implement, and direct AI work in their actual domain. Production-ready."
Dream OutcomeAn AI-native organization. Every department can evaluate and direct AI work in their domain. Not 1 expert — a company that gets it.
Perceived LikelihoodForward-deployed engineers who've shipped real AI. Training on YOUR problems, YOUR data, YOUR stack. On-site. Weekly PM audits.
Time Delay8 weeks. First production-ready output visible by week 3.
Effort & SacrificeYour people attend on-site sessions. We handle everything else — curriculum, trainers, logistics, progress tracking.
♠ The Poker Night
Here's why this works as the intro offer. The people you need to meet — the forward-deployed engineers who actually ship production AI — don't go to conferences. They don't take cold calls. But they'll sit at a poker table with 10 other serious people and talk about what's real. Block 9 hosts. You play or you watch. Either way, you leave knowing who can actually solve your problems — and whether they're worth a second conversation.
One dinner. Real people. No slides. That's the whole intro offer.
How Block 9 Works
We don't train AI. We connect you with the people who build it — and make sure your org can actually use it.
You
New AI/Innovation leader
Expected to transform the org
No playbook, no audit
Block 9
Curates forward-deployed
engineering teams for
YOUR industry & problems
Outcome
AI-native org
People who can evaluate
& direct AI in their domain
The gap: hard to find an AI engineer who actually understands YOUR business. Block 9 bridges it. Forward-deployed engineering teams do live, on-site trainings that focus on the problems your type of business wants to solve — based on real-world implementations, not hypotheticals.
The bottom line.
You were hired to make AI happen. You can't do it with a few rushed hires. You can't do it without auditing what's broken. You can't do it if your org doesn't understand what AI can actually solve. Block 9 makes the whole org AI-native — on-site, on real problems, with engineers who've actually shipped production AI. Start with dinner. See if it fits.
dinner → audit → AI-native sprint → production-ready organization