Agenda

Construction leaders are being asked to deliver faster, safer, more predictable outcomes while complexity grows across people, projects, and data. This session shows how embedding intelligence directly into daily operations, with digital teammates that augment productivity and unify enterprise knowledge, enables more proactive decisions and a more resilient construction enterprise.

As A.I. spreads across a construction business, the question of who actually owns it, from strategy to tooling to results, rarely has a clean answer. This roundtable brings together operators who have had to work it out in practice, covering how responsibility gets assigned, where it falls through the cracks, and what structures are proving durable.

Document Crunch is the A.I. risk intelligence platform built to close the gaps where construction projects lose money and disputes begin. It uses CrunchAI™ to find risk, Project Assist to move it into action, and connected workflows to align teams, keeping margins defended from bid to closeout.

Most A.I. tools are only as good as the data underneath them, and in construction that data is fragmented, inconsistent, and rarely ready to use. In this session, builder leaders share how their firms are closing the gap between the data they have and the data A.I. needs, and what it takes to move pilots into production.

Planera is modern construction scheduling software that replaces legacy tools like P6 and MS Project with a visual, collaborative CPM platform connecting office and field. Its A.I. assistant, Manny, lets teams ask schedule questions in plain English, run what-if scenarios, and surface risk in seconds, all from a single source of truth.

Togal.AI is AI-assisted pre-construction software that detects, measures, compares, and labels project spaces and features directly from architectural drawings, accelerating takeoff time dramatically. Built by estimators for estimators, Togal.AI is the fastest, most accurate, most secure construction takeoff software.

More construction firms are letting employees build their own A.I. tools and agents rather than routing every idea through a central team. This roundtable gathers leaders on both sides of that decision to discuss where giving people room to build pays off, where it introduces risk, and how to set guardrails without stalling momentum.

A team at the frontier of applied A.I., drawing on experience building large-scale systems at some of the world's leading technology companies, lays out where agentic systems are heading and where the real leverage is for how work gets planned, executed, and managed.

After years of talk about A.I. in construction, this session is about what's actually running. Procore walks through where its A.I. and DataGrid strategy is headed, brings a customer using digital co-workers to solve real problems in the field, and closes with a live demo of Procore A.I.

The platforms construction teams already depend on, from Procore to Microsoft to Autodesk, are building A.I. directly into their ecosystems. This session looks at how leaders are setting A.I. strategy when much of the roadmap is being written by their vendors, and where it still makes sense to build or buy beyond the platform walls.