#301: Implementing AI in Antiquated Systems: A 911 Case Study

AI is advancing fast — but most of our critical systems aren’t. In sectors like public safety, legacy infrastructure, bureaucratic inertia, and high-stakes decision-making often make meaningful innovation feel impossible.
In this session, Jeremy Banks, Director of Product at Carbyne, will share a candid case study on how his team introduced AI into the 911 emergency response ecosystem — one of the most antiquated and risk-averse industries in the country.
From early experiments to operational rollout, Jeremy will unpack the technical, cultural, and ethical challenges they faced — and how they navigated trade-offs between innovation and public trust. It’s a behind-the-scenes look at building and deploying AI in environments where modern tooling can’t be assumed, and failure isn’t an option.
To close, we’ll open the floor for a lightning-style share-out: how are you bringing AI into complex or traditional spaces? Come ready to listen, share, and learn.

What You’ll Learn:

• How Carbyne introduced AI into the legacy 911 infrastructure
• Why AI implementation looks different in high-risk, high-regulation environments
• Tactics for building trust, overcoming resistance, and proving value
• What it takes to integrate AI with outdated systems and workflows
• Lessons from peers on applying AI in similarly complex or slow-moving industries