See Everything.
Deliver On Time.
Real-time project visibility turns site supervisors into strategic operators. Delays caught early. Costs managed daily.
Most project managers manage by report and memory. They get the monthly invoice and see what happened two weeks ago. Too late to adjust.
We give you real-time visibility. A site supervisor knows where every trade is, what's coming next, and where the risk is. Project managers have live dashboards, and finance sees costs as they happen.
How Delivery Works Today
(And Why It Breaks)
Project Tracking
- PM has a plan (Gantt chart, updated monthly)
- Site supervisor has reality (what's actually happening)
- Gap between them grows; PM discovers drift too late to adjust.
Cost Control
- Timesheets entered weeks late; invoices processed with delay.
- PM sees actuals in monthly report when variance is already hard to correct.
Supply Chain & Labour
- Nobody knows if materials have shipped; delivery delays cause idle trade crews.
- Trades work different shifts with no overlap visibility, creating bottleneck patterns.
Risk & Issue Management
- Safety incidents filed away on paper; cost overruns noted but forgotten.
- No systematic framework to identify repeat patterns or prevent slippage.
60% of projects slip by Month 6. Cost overruns are discovered too late to mitigate. Teams operate in reactive firefighting modes, eroding construction margins.
What Changes With
Real-Time Delivery.
Visibility Becomes Real-Time
- Daily site photos + AI progress tagging logs build phases automatically.
- Site supervisor updates schedule directly; costs visible daily.
- Supply chain tracked; material delay ETAs flagged immediately.
Coordination Becomes Automatic
- Unified schedule shared with all trade crews so they see when they are needed.
- Daily automated standups map progress and coordinate trade sequencing.
- Labour efficiency visible to immediately locate site bottlenecks.
Issues Caught Early
- Delays flagged at Day 3 (not Month 3).
- Cost variances caught at Invoice 5 (not Month 6).
- Historical risk patterns referenced for immediate solutions.
Margins Protected
- Daily cost controls protect budgeted margins from erode factors.
- Contingency is used strategically, not spent in panic.
- Lessons learned feed back into future project estimations.
95%+ of projects hit timelines (within 1 week). Cost variance remains under 2% (vs typical ±10%). Site supervisor works proactively with less stress.
Four Layers Of Delivery Management.
Each layer coordinates to keep site operations aligned with budget targets.
- 1Daily site photos + AI analysis (build stage, progress, conditions)
- 2Live schedule (updated by site supervisor, visible to all trades)
- 3Cost tracking (labour, materials, subs entered as they happen)
- 4Supply chain tracking (delivery status, ETA, delays flagged)
- 5Equipment & inventory (what's on-site? what's coming?)
- PM knows exactly where the project is (not guessing)
- Site supervisor can see the whole picture (not just their trade)
- Finance sees real costs (not estimates)
- 1Shared schedule (one plan, visible to all trades)
- 2Trade-specific views (your trade sees when you're needed, dependencies, risks)
- 3Procurement integration (supply chain aligns with schedule)
- 4Labour allocation (avoid over-allocation, identify idle time)
- 5Daily standup automation (send progress + plan via email/app)
- Trades are never surprised (they see the plan)
- Coordination is natural (built into the system)
- Delays are rare (dependencies are visible before they're issues)
- 1Risk identification (what could go wrong? where are the vulnerabilities?)
- 2Issue tracking (problems logged, assigned, tracked to closure)
- 3Escalation rules (critical issues escalate to PM / project director automatically)
- 4Corrective action plans (if this happens again, here's what we do)
- 5Pattern detection (have we seen this before? how did we solve it?)
- Issues are visible (not hidden until they explode)
- Resolution is fast (assigned, tracked, closure visible)
- Learning happens (patterns are recognized; prevented next time)
- 1Daily dashboards (for PM, site supervisor, finance, stakeholders)
- 2Weekly/monthly reports (auto-generated, highlighting variance)
- 3Lessons learned (post-project analysis: what worked, what didn't)
- 4Benchmarking (how does this project compare to our average? to industry?)
- 5Predictive analytics (based on progress to date, what's the likely final timeline/cost?)
- Stakeholders are informed (not surprised)
- Decision-making is evidence-based (not gut feel)
- Future projects are smarter (we apply lessons learned)
Delivery Management In Action.
CASE STUDY — 200-Unit Mixed-Use Development, Brisbane
Baseline (Traditional PM at Month 6)
- Schedule: 2 weeks behind schedule.
- Reason: Supply delays (unknown until discovered late) + trade coordination clashing.
- Final Date Confidence: 60% (high risk of liquidated damages).
- Forecast cost: A$65M (±12% variance margin, i.e. A$57M–A$73M range).
Mitigation via Delivery System
- Daily site photos cross-referenced with AI to check structure layout.
- Live schedule updates shared directly to trade supervisor phones.
- Delayed material shipments flagged at Day 2 rather than Day 14.
- Automated daily standups prevent worker idle time.
Final Results (Month 28)
— Project Director
Deliver Smarter.
Real-time visibility. Coordination. Learning. One system.
Solution Integrations
Delivery system provides the on-site "eyes" while Builder Enablement acts as the "hands" (planning, scheduling, compliance). Together, planning is optimised and execution remains perfect.
The capital team views real-time progress metrics. Higher lender confidence translates directly to cheaper financing costs. If you deliver early, you can refinance equity out sooner.
Project metrics are fed directly into the Feasibility Engine. Every completed project teaches the system, ensuring feasibility outcomes and cost models on future projects are even more accurate.
Implementation Path
Deploy 5–10 high-resolution cameras on key high-risk site areas. Import existing Gantt schedule and train supervisors in a 1-day workshop.
AI automatically logs daily progress photos. Labour hours and materials are entered daily, compiling auto-generated PM reports.
The system maps specific project behaviours, fine-tuning risk flags. Trade crews coordinate seamlessly via automated updates.
Estimated Costs
- Setup & Hardware:A$2,000–A$3,000
- Monthly SaaS (includes AI):A$800–A$1,200/mo
- Total (24-Month Project):~A$21,000–A$28,000
Frequently Asked Questions
Q: Won't cameras feel invasive to workers?
A: Workers adjust quickly. Transparency keeps sites safer, and cameras do not track individual people; they record structural builds, crane paths, and material status.
Q: What if we already have a project management system?
A: The delivery system integrates with other systems (Procore, Monday, Excel) via APIs to synchronise data rather than force you to replace them.
Q: Do we need to change our site processes?
A: No. We map to your processes. The only adjustment is logging data daily instead of a monthly batch, saving supervisors hours of monthly administrative catch-up.
Q: What about data privacy?
A: All image feeds and financial variables are fully encrypted. Access is strictly permission-scoped, and no data is shared with lenders without developer approval.