Episode summary: In Episode #2 of A.I. Excellence in Construction, we walk through a practical “Opportunity Map” approach for prioritizing A.I. use cases, so you can focus on workflows that are repeatable, measurable, and defensible (instead of scattered experiments).

What you’ll learn:

• How to map your workflows and quickly separate “interesting” from “worth piloting” using simple criteria (volume, repeatability, verifiability, and risk tier).

• A short list of workflow patterns that tend to show early ROI for builders, especially where outputs can be reviewed and tied to measurable cycle-time or quality gains.

• How to turn the map into a 60–90 day pilot plan: pick 2–3 workflows, assign owners, define success metrics, and apply lightweight guardrails so adoption scales cleanly.

Who this is for:

• Construction executives, innovation/digital leaders, operations, and IT/security teams who want a pragmatic way to prioritize A.I. pilots.

Full report & free sample: https://www.placersolutions.io/product/agi-in-construction

This episode is a practical recap of the 2026 A.I. Excellence in Construction research, focused on the two areas that tend to make or break adoption at scale: talent and risk.

• What “A.I. readiness” looks like in real construction orgs and the capability gaps that show up first (training, workflow ownership, review habits).

• How leading builders structure enablement: lightweight upskilling, internal champions, and clear human accountability (so productivity gains don’t create new exposure).

• The risk guardrails to put in early around data/IP handling, project record integrity, vendor controls, and governance that supports speed without losing control.

Who this is for:

• Construction executives, innovation/digital leaders, IT/security, and HR/talent teams who need a pragmatic framework for scaling A.I. responsibly.

Full report & free preview/sample:

https://www.placersolutions.io/product/agi-in-construction