Operator vertical
Document AI for Construction Ops: Submittals, COIs & RFIs
Submittal review against specs, COI tracking, and RFI/change-order document agents for $50–500M specialty contractors—not takeoff software wars.
Built for: VP Precon / Head of Ops at a $50–500M specialty contractor or GC
What breaks before AI
- Submittals pile up while specs sit unread
- COIs expire and nobody notices until the GC or owner asks
- RFIs bounce for missing context
- Daily reports never become usable project data
Document intelligence and compliance agents for construction ops—not takeoff. Same extraction + exception patterns we run on insurance and CRE packets.
Workflow pages operators search
Each page owns a specific job-to-be-done query. Start with the bottleneck that hurts this quarter.
Submittal review
Search: submittal review AI
Match submittals to spec sections and flag deviations for human review—compress the queue without replacing judgment.
COI tracking
Search: certificate of insurance tracking AI contractors
Track COIs, expirations, and coverage gaps across subcontractors before work starts—not after a claim.
RFI & change-order agents
Search: RFI change order document AI
Draft structured RFI responses and change-order summaries from project docs with citations your PMs can trust.
Daily-report extraction
Search: jobsite daily report AI extraction
Pull labor, delays, weather, and safety notes from daily reports into structured project controls.
Business outcomes AI can move
- Cut days in submittal review queues
- Catch expired or missing COIs before work starts
- Compress RFI response cycle time
- Turn daily reports into structured project signal
AI capabilities
Each capability maps to a business KPI, revenue, cost, risk, or cycle time, not model accuracy on a slide.
Revenue
Daily-report extraction
Pull labor, delays, and safety notes from jobsite reports into project controls.
Cost
RFI and change-order agents
Draft structured RFI responses and CO summaries from project docs with citations.
Risk
COI compliance tracking
Track certificates, expirations, and coverage gaps across subs before they become jobsite risk.
Cycle time
Submittal review against specs
Match submittals to spec sections and flag deviations for human review—not a takeoff product.
Production use cases
- Submittal review against spec sections
- COI and insurance-compliance tracking
- RFI and change-order document agents
- Jobsite daily-report extraction
How to engage
Start bounded. Scale only when the KPI moves.
Ops diagnostic
From $7,500Map submittal/COI/RFI bottlenecks and data readiness for a first mandate.
Scoped production mandate
From $15kSubmittal review or COI tracking live in 6–10 weeks.
Embedded partnership
From $25k/moExpand RFI, change-order, and daily-report agents with your PMs.
Frequently asked questions
Do you compete with AI takeoff tools?
No. Takeoff is a crowded software category. We build document and compliance workflows: submittals, COIs, RFIs, and daily reports in your project stack.
How do you scope AI for our industry?
Week-one discovery locks business KPIs—revenue, cost, risk, or cycle time—not model vanity metrics. We map your data sources, compliance constraints, and existing stack, then propose a fixed-scope mandate with acceptance criteria or redirect you to a simpler path.
Do you have experience in our sector?
Proven depth sectors (financial services, federal, real estate, telecom, higher education) reflect production systems we've shipped. Growth and operator verticals (MGAs, credit unions, property management, 3PL, RCM, staffing, licensed iGaming, FFL) are selective mandates where those patterns transfer with industry-specific tuning. Biotech, insurance, and regulated work often runs under NDA.
What do we get at the end of an engagement?
Deployable code in your repos, monitoring and runbooks, documentation your team can operate, and knowledge-transfer sessions. The Production Standard is contracted in writing—no handoff to a junior bench after the sale.
What's the fastest way to start?
Book a discovery call or start with a bounded diagnostic: $2,500 Postgres audit, insurance claims-fraud diagnostic from $7,500, or the free MLOps readiness assessment. Each path surfaces whether AI is the right tool before a larger commitment.
The Production Standard
The Production Standard
Six commitments contracted in writing on every engagement.
01
Deploy or redirect
If AI isn't the right tool, we say so in week one and redirect budget to what will ship. No POC theater.
02
Metrics before models
Business KPIs locked in discovery. Model selection follows the metric, not the hype cycle.
03
Governance from day one
Model cards, access controls, evaluation harnesses, and audit trails, not a compliance bolt-on at go-live.
04
Production artifacts
Deployed code, monitoring dashboards, CI/CD pipelines, and incident runbooks. Not recommendations for someone else to implement.
05
6-week production target
Scoped projects designed for production in 6–10 weeks. Boutiques move; global programs wait for steering committees.
06
Capability transfer
Your team can operate, extend, and maintain what we build. IP and documentation transfer is included, not upsold.
Every scoped project includes a production deliverable checklist signed off before close. If we can't commit to deployable output, we won't take the engagement.
Selective intake · 2026
Your next system shouldship to production.
Agentic development from architecture through deployment, with the Production Standard contracted in writing.