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Construction Management

Decisions on schedule, margin, safety, and risk. Sourced. Cited. Always on.

Your team decides. The Decision Engine does the grind.

Construction projects generate more data than teams can act on fast enough. Answers live in drawings, RFIs, submittals, daily logs, change orders, pay apps, and schedules — fragmented, buried, and constantly changing.

The information’s all there. Answers just take too long to find, and even longer to turn into the call you need to make. 

The Decision Engine reads the full project record and delivers prioritized answers across the decisions that impact schedule, margin, safety, and risk. Sourced. Cited. Always on.

Your team spends less time chasing answers and more time running the job.

“Took our team’s monthly health-report grind down from 3 hours to 15 minutes per project. PMs got their days back.”

— VP of Operations, regional GC

Decision Engine for Construction

The Decision Engine plugs into the systems your jobs run on: Procore, Autodesk Forma, Sage, Primavera, Bluebeam, and the file systems where the rest of the job lives. 

It reads the project record across specs, drawings, RFIs, submittals, daily logs, change orders, pay apps, and photos. Then it checks each job against the standards your team already uses to show you where schedule, margin, safety, or risk is moving in the wrong direction. Your team decides.

 

 

Integrates

Securely with the systems your jobs run on

 

Analyzes

Using multiple AI models, ML, and best-fit tools

 

Synthesizes

Project data into prioritized and traceable answers

Delivers

In the tools your team already works with

Shows

Click findings back to the exact source file and page

Problems Worth Solving

Project health monitoring

Status reporting takes hours and risks are easy to miss.

The Engine reads your daily logs, schedules, RFIs, submittals, site photos, and change orders to analyze and surface emerging risks. PMs get a prioritized health report in under ten minutes. You give PMs time back to decide and act.

Schedule and productivity

Scheduling systems give you dashboards, not insights.

The Engine identifies slippage by trade, entity, and root cause, pulled from schedule snapshots, daily logs, lookaheads, and field reports. See supply disruptions and sequence risk before your dashboard displays them.

Safety intelligence

Safety and quality reports tell you what happened. The Engine shows what is about to go wrong. 

Surface leading indicators from incident reports, near-misses, daily logs, inspections, and field photos, broken down by site, crew, and condition. You intervene earlier and support your EMR story at renewal.

Document review

Submittals, RFIs, and Change Order reviews are tedious but critical to get right.

Upload a 1,500-page submittal to check against the full project record. Discrepancies get flagged, linked to the exact requirements. RFIs and change order requests run through similar checks. Reviewers stamp in less time with fewer revisions or resubmittals.

bid management

Estimating teams burn too much time chasing bids that were never worth winning.

Analyze your historical bids, subcontractor performance, and material pricing to sharpen estimates and pressure-test bids before you submit. You win more of the right work and stop spending estimating hours on jobs you don’t win.

Subcontractor risk

Subs you trusted last year can become this year’s schedule and lien problem.

Read pre-qual packages, financials, bonding capacity, safety records, and lien activity against your standards. Risks get flagged before award, not after the first missed milestone. You build a stronger bench and keep marginal subs off your job sites.

A Closer Look: Continuous Project Health

Most construction teams start here.

The Decision Engine reads everything that drives project health: schedules, logs, RFIs, submittals, pay apps, photos, budgets, change orders, and meeting minutes. It produces a prioritized, cited health report in under 15 minutes. The Engine assesses each project against the standards your team already uses, scores severity, flags gaps, and shows what moved since the last report.

 

Example Decision Engine deployed for a regional GC managing 60 active commercial projects.

Monthly reporting required three hours of manual data compilation per project across Procore, Microsoft Project, and on-premise file servers. The Engine automated data assembly, unified risk assessment, and collapsed reporting cycle time — resulting in higher accuracy, full source traceability, and risks flagged before they compound into project delays.

 

15 minutes

project review, down from 3 hrs

60 projects

Continuously monitored

100%

Risks sourced and cited

12 weeks

To production scale

 

Across a $250M active book, earlier intervention on a single two-week slip protects more than $1.3M in margin annually. PMs reclaim 100+ hours per month across an active portfolio, time that goes back to clients and problem solving in the field.

How We Deliver

Week 1
Decision Discovery. Map your highest-value workflow.
Week 2
Design. Data feeds, interfaces, insight reports. You see it before we build.
Weeks 3-10
Custom Build. Decision Engine on secure, single-tenant AWS. Your data never co-mingled.
Weeks 11-12
Onboard Your Team. At scale. Always on.

Why FactualIQ

  • Decisions stay with your best people. The Engine grinds. Your team decides.
  • Your data never leaves. Single-tenant Virtual Private Cloud. Your perimeter holds. Period.
  • AI model agnostic. Three to five models per workflow. No lock-in.
  • Every insight cited. Click any finding back to its source file and page.

Operational decisions compound into strategic outcomes.

Margin protected this quarter funds pursuit capacity next quarter. The decisions look operational. They compound strategically.

Book a Discovery Call

Thirty minutes. We’ll map your highest-value workflow and tell you what a prototype against your data would look like.

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Connect with Us

[email protected]