Fractional Chief AI Officer for construction firms.

Construction is famously under-digitized. The data exists — it lives in Procore, in someone's email, in a foreman's notebook, in a PDF on a shared drive — and almost none of it is connected. The firms that get out in front of the AI shift in this industry will not be the ones with the slickest tooling. They will be the ones whose project data finally talks to itself.

This is the vertical where we have the most shipped proof. Real revenue. Real lead pipelines. Real operating leverage.

Proof from real construction engagements

• $1.4M in quarterly revenue generated using an AI Authority Engine for a construction company.
• 5,000 leads at approximately $5 per lead for a mid-market construction firm via an AI-generated zoning intelligence funnel tied to city and government open data.
• 300 leads generated for a Halifax-based construction company using a fractional AI CMO module that ran consistently for a quarter — the consistency the team had not been able to sustain manually.

None of these are AI demos. They are productized agent workflows that ran every week, fed live data, and produced revenue or pipeline a CFO could put on a board slide.

What we automate inside construction firms

The patterns repeat across GCs and specialty contractors. The agents that move margin:

• Change-order capture — agent monitors project communication and surfaces work performed that has not been billed; PM approves before submission.
• RFI pattern detection — agent flags when the same RFI category appears across projects, so the underlying spec or design issue gets fixed at the source.
• Project status rollups — agent prepares the weekly executive view across all active projects: schedule risk, cost-to-complete, open issues, recovered margin.
• Pre-construction bid intelligence — agent surfaces patterns from won and lost bids; suggests tighter scope and price guidance for new opportunities.
• AI-driven lead generation — content engines, zoning-intelligence funnels, and outbound systems that produce a consistent pipeline.
• Document automation — submittals, RFIs, change-order PCOs, daily reports — drafted by agents, approved by humans.
• Knowledge retrieval — “we have done this before” search across closeout binders, RFI logs, and project documentation.
• AR follow-up and pay-app tracking — agent monitors aging, flags retainage gaps, drafts collection conversations.

The systems we connect

• Project management: Procore, Autodesk Construction Cloud (BIM 360), Bluebeam Studio
• Construction accounting / ERP: Sage 300 CRE, Deltek, Foundation, Vista by Viewpoint
• Pre-construction and estimating: Trimble WinEst, On-Screen Takeoff, ProEst
• Communication: Microsoft 365, Outlook, Teams
• Lead and CRM systems: HubSpot, Salesforce
• Public data layers: municipal zoning portals, permit feeds, contract opportunity boards

The first deliverable is the unified data layer. Without it, agents on top see only what one tool sees, and you do not get the cross-project pattern detection that produces real margin recovery.

How we work with construction firms

Engagement opens with a two-week AI Readiness Audit ($7,500). Interviews with executive leadership, operations, pre-con, and project management. Audit of project workflows, accounting integration, and lead generation systems. Written deliverable: maturity score, top ten pain points by AI-leverage potential, mapped use cases, 90-day implementation roadmap, ROI projections per use case in dollars and time.

Fractional CAIO retainer: $15,000–$25,000/month, month-to-month. Every retainer month produces a connector live, an agent in production, a workflow automated, and a project team trained on what shipped. Decision cycle for mid-market construction firms is 60 to 120 days from first conversation; faster for PE-backed roll-ups where there is platform-level intent.

Frequently asked questions

What does a fractional Chief AI Officer do for a construction firm?

We embed as your AI leader on a part-time retainer: quarterly AI strategy tied to project margin and operating leverage, hands-on integration across Procore, Sage, and Autodesk, deployed agents for RFIs, change orders, and lead generation, plus applied training for project teams and operations leadership.

What size construction firm is this for?

Commercial general contractors and specialty contractors at $50M and up — including mechanical, electrical, structural specialty trades and PE-backed construction roll-ups. Buyers are typically the CEO, COO, VP of Operations, or VP of Pre-Construction.

Do you have construction case studies?

Yes. $1.4M in quarterly revenue generated using an AI Authority Engine. 5,000 leads at approximately $5 per lead via an AI-generated zoning intelligence funnel tied to municipal open data. 300 leads generated for a Halifax construction company using a fractional AI CMO module. Construction is the vertical where we have the most shipped proof.

How does AI tie into project margin and pre-con?

The agents we deploy are tied to specific dollar outcomes: change-order capture (recovering revenue you already earned), RFI pattern detection (catching the same question coming up across projects so the issue gets fixed at the source), unbilled work surfacing, and pre-con bid intelligence. AI in construction has to map to margin or it does not survive the operations review.

What if our team is not on Procore yet?

We have connected workflows that span Procore, Sage 300 CRE, Autodesk Construction Cloud, Bluebeam, Deltek, and various accounting back-ends. The unified source-of-truth layer is the deliverable, regardless of which project management tool your team uses today. We meet you where your data lives.