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AI for Construction
Estimating, scheduling, progress tracking, and back-office for general contractors and trade subs. Tools, workflows, governance.
Why AI matters in construction
Construction has historically been slow to adopt software. But the wins from AI are concrete (sorry): 20-30% reduction in estimating time, fewer schedule slips from AI scheduling, real-time progress tracking that catches problems earlier. The biggest practical win: project documentation no one wants to write.
The core construction AI stack
Project management
- Procore, Autodesk Construction Cloud, Buildertrend β major PM platforms with AI features.
Estimating
- Togal.AI, AssistEstimating, Stack β AI-assisted takeoff and quantity surveying.
Scheduling
- ALICE Technologies β construction simulation and scheduling AI.
- Buildots β progress tracking from hard-hat cameras.
Document AI
- Claude for RFI drafts, submittal review, change order memos.
Voice
- VAPI for jobsite hotline.
Deep dive 1: AI-assisted estimating
The workflow: upload plans β AI extracts quantities β estimator validates and prices. Cuts a 2-week estimate to 3 days for typical commercial work.
The risk: AI takeoff accuracy varies by drawing quality. Always have an experienced estimator review.
Deep dive 2: Schedule generation and risk
ALICE-style tools simulate millions of schedule scenarios. Identify the critical path with highest float impact. For SMB GC: even Claude-assisted CPM (Critical Path Method) review beats a spreadsheet.
Deep dive 3: RFIs, submittals, change orders
The paperwork that drowns project managers. AI drafts RFIs from drawings, summarizes submittals, writes change order memos. PM reviews and signs.
Governance
- Liability. AI-drafted RFIs and CO memos are still legal documents. PM signs, PM owns.
- IP. Drawings and plans uploaded to vendors need to be governed by NDA. Watch for default vendor data use clauses.
- Safety. AI cannot replace human judgment on safety issues. Use AI for documentation, not for safety calls.
30-60-90 day plan
Days 1-30: select one project to pilot AI estimating + documentation. Baseline current process.
Days 31-60: roll the same pattern across all active projects of similar type. Measure time saved.
Days 61-90: add scheduling AI. Add jobsite voice line. Measure project-level metrics.
Maturity model
- Level 1: PMs use ChatGPT to draft RFIs.
- Level 2: AI estimating + project documentation routine. SOPs documented.
- Level 3: Schedule simulation, AI risk scoring, progress tracking from cameras.
- Level 4: Predictive jobsite ops β AI flags issues before they cause delays or rework.
Where to go next
- Browse Construction tools β
- See the AI Chief of Staff playbook for back-office automation in a GC shop.
Don't want to wire it up yourself?
Peak Agent AI deploys this kind of workflow as a managed AI Chief of Staff. We pick the stack, write the prompts, integrate the tools, and your assistant runs the day for you. From $149/mo.
See peakagentai.com β