Reference-backed scope: the executive view now focuses on ATS Kajang and Hallson KLCC. Their separate baseline programmes were reconciled from the four client-supplied CSV/XML files.
Demonstration workflows: programme comparison, AI prompts, site-media review, structured reporting and requisition forms show the intended experience; live MS Project sync, actual progress, total float, persistence and production automation are not yet connected.
Snapshot values from the client workbook's EXECUTIVE SUMMARY sheet; not a live schedule feed.
| Project | Stage Entries | Cert Collected | Balance |
|---|---|---|---|
| ATS KAJANG | 1,512 → | 200 → | 1,312 → |
| HALLSON KLCC | 5,400 → | 1,000 → | 4,400 → |
| No | Project Name | MAP & Reality Capture | Commencement | PIC | Completion | Schedule % | Actual % | Delayed/Ahead | Stage Billing | Cert Collected | Contract Sum (RM) | Workdone (RM) | Approved VO (RM) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | ATS KAJANGOpen work programme → | 01/04/2026 | LAU | 30/12/2027 | 4% | 4% | Status update required | 1512 | 200 | RM 30.0M → | RM 2.0M → | RM 30K → | |
| 2 | HALLSON KLCCOpen work programme → | 01/04/2026 | LUM | 30/12/2029 | 2% | 2% | Status update required | 5400 | 1000 | RM 30.0M → | RM 2.0M → | RM 30K → |
Footing stage (2C) delayed — actual dates slipped vs planned. Architect cert pending for Units 3–8.
TNB Substation completion target end Jun 2026 — risk of delay impacting M&E works timeline.
Total Portfolio Value
Avg Progress
Schedule Variance
Current status revisions required
Client Portfolio Rows
Workbook snapshot
ATS KAJANG
Stage 2C (Footing) actual dates slipped across Units 3–8. 70% probability of cascade delay to Ground Floor RC works if not accelerated.
HALLSON KLCC
TNB Substation delay (target Jun 2026) may trigger M&E works deferment. Projected 3-week downstream impact on electrical first fix across all floors.
ATS KAJANG
Stage 2B billing collection rate is 100% (150/150 units). Stage 2C submissions expected in Q3 2026 for Units 1–13.
These seeded scenarios demonstrate the intended output. Live prediction requires connected monthly reports, NCRs, schedule data, and an AI provider.
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