Most AEC marketers have opened an AI tool, typed a prompt, and gotten content that sounds flat, generic, and nothing like their firm. The problem usually isn’t the model—it’s that the underlying marketing foundations aren’t structured for AI: brand voice lives in someone’s head, the ideal client profile is vague, templates are informal, and no one clearly owns the process. Without those pieces documented and organized, every AI output requires the same manual cleanup you were trying to avoid. This session introduces the AI Readiness Framework: six criteria every AEC marketing team needs in place before their preferred AI tool can reliably produce on-brand, usable content.

Together, we’ll walk through a structured self-assessment so you can score your firm on each readiness area, from workflows and voice to ICPs, content libraries, and visual standards. You’ll see why “months of training a single account” is not a scalable strategy, and what needs to be documented so AI-ready assets can be shared across your entire team instead of living with one power user. You’ll leave with a completed, one-page gap analysis and a clear, prioritized picture of what your firm must build first—shifting the conversation from “we should use AI for marketing” to “here is exactly what we need to put in place so AI can work for us.”

Learner outcomes

1. Diagnose their firm’s AI content readiness using a six-part framework covering workflows, brand voice, ICPs, content sources, visual standards, and ownership.
2. Identify which foundational marketing assets must be documented or upgraded so AI tools can consistently generate on-brand, reusable content.
3. Create a prioritized, one-page AI readiness action plan they can take back to principals or marketing leaders as a roadmap for next steps.