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Coverage

Everything the estate emits, uses, spends and reports.

Most carbon software handles one scope at a time and leaves you to join the dots. Sustainify AI governs the whole picture in a single dataset, so a figure in a board pack, a GRESB indicator and a tenant recharge all trace back to the same evidence.

One dataset. Every disclosure.

  • Scope 1, 2 and 3.

    Full coverage across the portfolio, GHG Protocol aligned, AR5 GWPs.

  • Energy.

    Consumption in kWh, intensity ratios by floor area, revenue or headcount.

  • Waste and water.

    Governed alongside emissions, because GRESB and CSRD ask for them and most estates report them from a contractor's summary.

  • Embodied carbon.

    Capital projects and materials, governed with the same lineage as operational emissions.

  • Circularity.

    Material flows and diversion, evidenced rather than estimated.

  • Carbon pricing.

    Internal carbon price models fed from the same governed dataset that produces the recharges.

  • Financial analysis.

    Emissions against cost and revenue, so sustainability is a commercial conversation rather than a compliance one.

  • Social value and TOMs.

    Measured and evidenced, not narrated.

  • Health and safety.

    Governed within the same dataset for CSRD.

  • EcoVadis and B Corp.

    Evidence packs produced from governed data rather than assembled by hand.

  • Knowledge base.

    Methodologies, factor sources and definitions, documented in the platform so the answer does not leave when a person does.

  • Audit logs and assurance exports.

    Across every one of the above.

Assurance pack

PACK-2024-25-001 · 2024/25

Meter data

Factor sets

Change log

Assurance pack, 2024/25

PACK-2024-25-001 · sealed 06 Apr 2025

  1. 01Factor version log14 sets · 3 supersessions
  2. 02Period lock reportLocked 06 Apr 2025
  3. 03Change history3,910 entries
  4. 04Evidence index1,204 files

sha-256 c4f2…9ab1

Regenerates in full

Assembled, not writtenNothing in the pack is re-keyed from the reporting system.

The pack is assembled from the dataset, not written up afterwards.

One subscription covers all of it.

No tiers. No add-ons.