Most AEC teams are still using AI as a one-off drafting tool, but the bigger opportunity is turning isolated prompts into repeatable workflows that improve consistency, reduce friction, and support stronger judgment across marketing and business development. In this session, Edmund Lam shares how a mid-sized engineering firm is moving from ad hoc AI use to a more structured, operational model. Drawing on real examples from a 50-person MEP and commissioning firm, he will show how AI can help stabilize high-effort tasks, transform messy inputs into more usable outputs, and generate clearer insights across disconnected systems.

Rather than focusing on hype, generic prompting advice, or product comparisons, this session centers on practical workflow design. Attendees will learn how to identify worthwhile use cases, structure inputs for better results, turn repeated prompting into reusable systems, and apply the right guardrails for higher-stakes work. Participants will leave with practical examples, implementation patterns, and a clear framework for using AI more intentionally in AEC marketing and business development environments.

Learner outcomes:

1. Identify recurring AEC marketing and business development workflows that are strong candidates for structured AI support.
2. Understand how to turn one-off prompts into repeatable, reliable workflows through better inputs, systemization, and human review.
3. Apply practical guardrails and implementation patterns to use AI more intentionally, consistently, and responsibly in real firm environments.