How do you diffuse AI into the real world?

Official Schedule Context

Most AI conversations are still about models, benchmarks, and demos. We want to talk about what it

actually takes to make AI work inside real companies. The gap between impressive demos and

production value is where most enterprise AI efforts die. We've all seen burned budgets, cynical

teams, and tools that never leave the pilot phase. We've spent the last two years closing that gap

across the American services economy, and we'll share a bit of our playbook. This talk walks through

three layers of what real AI deployment looks like, drawn from Long Lake's live operating

environments: Measure: How we built domain-specific evals and workflows to improve performance on

real HOA management tasks, not synthetic benchmarks, but metrics tied to actual business outcomes.

Embed: How we put AI directly inside tools like Revit, meeting users where they already work instead

of asking them to change how they operate. Scale: The enablement playbooks and operating techniques

we use to help teams of property managers, payroll specialists, and more adopt AI in their day-to-

day jobs. The broader theme is vertical superintelligence: not just better models, but systems built

around proprietary data, workflow context, domain tools, human enablement, and continual learning.

This talk is for builders and operators who care less about benchmark theater and more about how to

deliver measurable outcomes, deal with change management, and teach non-technical workforces to use

AI effectively in production beyond just Claude Code / Cowork.

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