Recorded 18 June 2026 · ~30 minutes · Luc van de Boom
What this webinar covers
A ~30-minute walkthrough of how to turn the data you already collect into a decarbonisation roadmap and a costed CapEx plan. Luc van de Boom moves through the full workflow: preparing and scoping your data, selecting CRREM or custom pathways, reading the portfolio trajectory and stranding scores, modelling measures with AI suggestions, building scenarios, and reviewing the financials. The session closes with the CRREM transition report for GRESB-aligned reporting and the acquisition due diligence tools. It is aimed at fund and asset managers planning retrofits and capital allocation across a portfolio.
Articles to read alongside the recording
These are the canonical references — always defer to them for current functionality.
- Building your decarbonization roadmap end-to-end: from data to CapEx — the full written workflow, from readiness to sign-off
- Roadmap Tool: Overview and methodology — how projections and pathway aggregation are calculated
- Setting up roadmap inputs — configure measures, acquisitions, disposals, and pathway targets
- Interpreting Roadmap results — read the charts, tabs, and financial views
- AI data tools in Scaler — AI portfolio analysis, data quality, and measure suggestions
Key takeaways
- Data completeness comes before modelling. Scope your assets, confirm ownership and operational control, fix floor areas and the baseline year, close energy gaps, and resolve outliers first. A single outlier can distort the portfolio average and send CapEx to the wrong asset.
- Pathways are flexible, with CRREM as the default. Most clients default to CRREM, but you can apply custom or internal targets and run them side by side. Weather- and occupancy-based normalisation make the comparison fair.
- Stranding is scored from 0 to 100. Each asset gets a score against its pathway, with data coverage shown alongside, so you act on genuine risk rather than thin data.
- AI proposes measures and finds the gaps. AI measure suggestions read the asset's profile and propose a retrofit with estimated EUI reduction and cost and savings ranges, while flagging the data gaps that limit the suggestion. You then tune the year, reduction, and cost.
- Scenarios connect carbon to capital. Build best- and worst-case strategies, then read NPV, IRR, MACC, the capital deployment timeline, savings versus spend, and embodied carbon in one place.
- The roadmap feeds reporting and acquisitions. Generate a GRESB-aligned CRREM transition report, download the year-by-year audit trail, and produce due diligence reports for acquisitions from limited data.
Chapter timestamps
Open chapter list — scrub to the timestamp in the recording
Zoom recording links don't deep-link to a specific time, so use these as a guide to scrub forward in the recording.
- 1:52 — Using the data you collect, and the guided roadmap workflow
- 4:02 — The Improve workflow: nine steps from data to sign-off
- 5:03 — Step 1: confirm asset scope, ownership, and operational control
- 6:13 — Checking assets in the Asset List
- 7:02 — Floor area and the baseline year
- 8:06 — Energy coverage and AI portfolio analysis
- 10:32 — Resolving data outliers with AI verification
- 12:26 — Selecting and customising pathways (CRREM and internal targets)
- 15:12 — Baseline year and weather / occupancy normalisation
- 16:14 — Trending analysis and the portfolio-wide roadmap
- 18:30 — Stranding scores and data coverage
- 20:23 — Building scenarios (strategies)
- 22:55 — Reviewing measures, costs, and savings
- 23:40 — Adding a measure with AI suggestions
- 28:43 — The CRREM transition report (GRESB-aligned)
- 29:37 — Financial overviews and embodied carbon
- 30:56 — Acquisition tools and due diligence
- 31:32 — Close
💡 This is a snapshot of what was covered on 18 June 2026. The platform continues to evolve — for current functionality always defer to the linked articles above.