From hidden work to unproven spend:the five blind spotsundermining your AI adoption
AI adoption has happened faster than almost any technology in recent memory. Now, every engineering leader is asking the same questions. Is the investment paying off, where is the impact, and can you show it?
Research shows AI doesn’t create net gains on its own. It amplifies already existing strengths and weaknesses, often hidden inside systems built for humans, not AI.
Blind spots in velocity, reviews, work, quality, and spend creates a widening gap between what leadership believes is happening in their engineering organizations versus what’s actually happening. The organizations that pull ahead are the ones that find and fix their blind spots before that gap grows too wide.
Join us to learn:
Why blind spots exist and how AI adoption amplifies them
The five blind spots undermining AI adoption today
How each blind spot impacts your organization
How to move from guesswork to ground-truth visibility into what your team is actually shipping.
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Register for the webinar
Oct 20, 2026, 11 AM ET / 8 AM PT
45 minutes · Q&A included
Live + on-demand replay
Meet your speakers
Aaron Beals
Chief technology Officer, Flux
Aaron Beals is the CTO of Flux, where he assembles high-performing engineering teams and translates business needs into innovative solutions. At Flux, Aaron combines his experience building scalable, secure enterprise-class SaaS apps with cutting-edge AI models to deliver new products to support engineering managers like himself.
Julia Burmeister is the Head of Product & Design at Flux, where she leads product strategy and design for an intuitive, high-impact engineering intelligence platform. At Flux, Julia combines her background in product design across AI startups like Manifold AI with her foundation in human-computer interaction to build solutions that turn complex engineering data into clear, actionable insight.
