Skip to main content
Role-based construction intelligence

Every construction role, made operationally smarter.

Ezelogs turns project chaos into role-aware, predictive, governed intelligence - from owner pro forma to field daily log.

Owners & Developers
Construction intelligence profile
Role-aware
Operational pain
Pro forma slips silently; you find out at draw time.
Intelligence added
Continuous pro forma vs. actual reconciliation with predictive variance.
Prediction example
Schedule slip likely 11 days ahead of GC notification, +$310k cost impactCursor verify
AI assistance
AI drafts owner brief comparing forecast vs. baseline weekly.
Workflow orchestration
Routes high-variance items to project executive for sign-off.
Operational visibility
Portfolio heatmap across capital projects with rollups by stage.
Governance and approval
Every forecast carries evidence trail and confidence breakdown.
Evidence trailCausal chainConfidence breakdown

Prediction moments by role

OwnerPrediction
Pro forma drift detected 6 weeks before drawCursor verify
GCPrediction
Trade stacking conflict flagged before sequencing freezeCursor verify
SubPrediction
Material shortfall predicted before crew mobilizationCursor verify
FieldPrediction
Safety pattern surfaced before incidentCursor verify
EstimatorPrediction
Historical vendor variance applied to bidCursor verify
SafetyPrediction
Inspection bottleneck predicted before SLA breachCursor verify
FinancePrediction
Margin erosion modeled before change order approvalCursor verify

See your role inside the construction intelligence operating system.

Book a walkthrough tailored to your seat, powered by the Ezelogs intelligence ecosystem.

Claim → evidence

Every claim is tied to a signal, a workflow, and a verification state.

No vague AI promises. Each capability links to the operational signals that support it and the buyer question it answers.

ClaimEvidence neededBuyer question answeredStatus
Ezelogs helps surface project risk earlier.Schedule drift, RFI aging, procurement lead-time, field activity, budget variance.What signals support the recommendation?Cursor review
Predictive risk highlights operational issues before they affect cost or schedule.Cursor verifyHistorical patterns, current workflow state, dependency map, manpower drift.Is the prediction tied to evidence I can audit?Cursor review
Field activity feeds the same intelligence layer the office sees.Daily logs, photos, voice incidents, OCR documents, offline queue.Does the office and the field see the same truth?Verified
Recommendations include a confidence breakdown and source links.Source documents, signal contributions, historical comparison rows.Can I see why the AI suggested this?Verified
High-impact actions require a named human approver.Routed approval ladder, escalation policy, audit trail entry.Who approves AI-suggested changes?Verified
Construction memory reuses past RFIs, delays, vendors, and lessons across projects.Cursor verifyProject history graph, recurring pattern detection, lessons-learned index.Does the system remember what worked last time?Cursor review
Role permissions and tenant boundaries scope what each user can see and do.Cursor verifyRole policy, tenant isolation, audit log of permission grants.How is access controlled for sensitive projects?Needs customer evidence
Buyers can start with one workflow and expand by lifecycle phase.Phased rollout playbook, workflow-scoped onboarding, reversible configuration.Do I have to replace my existing tools on day one?Verified
Operational proof

Construction-native scenarios, not generic AI demos.

Each card describes an operational signal Ezelogs reads, what it detects, where the evidence comes from, and which human action it routes to.

RFI delay risk

SignalRFI open longer than typical for this trade and discipline.
DetectsAging RFI clusters that historically precede schedule slip.
EvidenceRFI thread, responsible party, dependency to next activity.
ActionRoutes to PM for escalation; logs review timestamp.
Cursor review

Field capture completeness

SignalDaily log missing photos, weather, or manpower for an active area.
DetectsGaps in the field record before they affect closeout or claims.
EvidenceCrew clock-in, prior log pattern, GPS-tagged photo coverage.
ActionNudges field lead with one-thumb quick-create.
Verified

Cost drift

SignalForecast-to-budget delta crosses a tenant-defined threshold.Cursor verify
DetectsMargin movement on a flagged cost code before month-end close.
EvidenceCommitted cost, change exposure, productivity index.
ActionSurfaces to PM and PX with explainable variance drivers.
Cursor review

Safety pattern

SignalRepeated near-miss category in the same area or trade.Cursor verify
DetectsRecurring hazard patterns the field already reported informally.
EvidenceIncident log, location tag, crew composition, toolbox-talk history.
ActionRoutes to safety officer; suggests targeted toolbox topic.
Cursor review

Procurement lead-time exposure

SignalSupplier confirmed delivery slips past required-on-site date.
DetectsProcurement items at risk of becoming schedule blockers.
EvidencePO date, vendor confirmation, schedule dependency.
ActionSuggests resequencing or substitute; needs PM approval.
Verified

Closeout risk

SignalOpen punchlist items aging past closeout window.
DetectsItems at risk of delaying substantial completion.
EvidencePunchlist age, sub responsiveness, inspection dependency.
ActionEscalates to GC closeout lead; logs evidence trail.
Verified

Inspection dependency

SignalActivity waiting on AHJ inspection blocks downstream trades.
DetectsBottlenecks where inspection scheduling drives float erosion.
EvidenceInspection request log, AHJ calendar, downstream activity map.
ActionNotifies scheduler; proposes alternative sequencing.
Needs customer evidence

Change order exposure

SignalField condition or RFI answer implies scope change.
DetectsPotential change exposure before it becomes a dispute.
EvidenceRFI answer, daily log, drawing version, sub correspondence.
ActionDrafts evidence package for PM; requires human submit.
Cursor review
AI Solutions · By Role

Solutions by Role

Role-tuned intelligence for PMs, finance, safety, procurement, and every seat at the table.

The category

Construction Intelligence Platform

Also known as: AI Operating System for Construction

A construction intelligence platform connects owners, GCs, subs, and finance on one lifecycle graph — with role-tuned AI that turns field signals into margin, schedule, and safety outcomes.

One Project Graph

Owners, GCs, subs, vendors, designers, finance and field operate on the same connected record.

One Intelligence Layer

Role-tuned AI translates field signals into decisions for finance, schedule and safety.

Every Workflow

Pre-construction, build, handover and operate — covered end-to-end, not bolted on.

Ready when you are

See it on your own project data.

A 30-minute walkthrough on your live drawings, schedule, and POs. No slideware.