The operational twin — for one site (the Ranjangaon plant or a pan-India project site): its plant/site assets, health, QA/QC & compliance audits, maintenance posture, order backlog and crew, with the data grain that says how bankable its P&L is.
4 of 13 project sites report at true site-grain actuals — leaving ₹1,632 Cr of revenue on softer grain. Convert the 9 estimated sites to actuals to make the execution P&L bankable, then mine the healthy site base to grow the order backlog and attach higher-value substation, GIS & galvanizing scope.
6 of 6 headline metrics improving vs prior · still off target: Milestone Adherence 92.0% vs 96.0%, Fabrication First-Pass Yield 96.0% vs 99.0%, On-Time Completion % 90.0% vs 95.0%
₹1,632 Cr of revenue sits on SAP-allocated or region-only grain — diligence discounts what it can't verify.
₹4,055 Cr of order backlog sits on a footprint of 361 plant/site assets — the warmest expansion surface Bajel has for higher-value scope.
This is the view the project-execution and QA/QC teams act on. Each site is a living asset — pick one and see its assets by type, what's healthy vs degraded vs down, its next QA/QC / compliance audit, the assets below the maintenance / inspection baseline, and its order backlog. The Bajel thread runs through it: the data grain tells you how much of this site's number you can bank. It's the single-site drill-down for Org Roll-up 360.
Plant/site assets · health · QA/QC · maintenance · order backlog · crew — plus the data grain and a next best action.
Maintenance drift tracks data-grain: low-coverage / off-ledger sites carry more assets past their service window.
Routed to the open non-conformances above; site inspection opens the work order, the site crew closes it.
39 healthy plant/site assets, clean audits. Point the cross-capability flywheel here: attach substation / GIS scope onto the transmission-line base.