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The platform

Built at the infrastructure level, not the dashboard level.

Estate data is fragmented across invoices, BMS exports, maintenance logs, tenant submissions and contractor reports. Sustainify AI connects emissions, waste, water, health and safety, social value and financial performance into a single governed dataset. Every record tagged, evidenced, versioned and pinned to its reporting period.

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Portfolio overview

Example Estates LLP

All buildings · 2024/25

All buildings2024/25
Total emissions
10,998.0tCO2e
4.2%vs previous
11 buildings in scope
Emissions intensity
88.3kgCO2e/m²
6.1%vs previous
Based on 124,600 m² GIA
Data coverage
82%
Complete82%
Partial18%
No data0%
11 of 11 buildings reportingImprove coverage
Target progressOn track
18.4% reduction achieved
Net zero pathway 203044% of the way

Performance at a glance

Share of 10,998.0 tCO2e gross
Scope 1 · Direct
1,482.6tCO2e
Scope 2 · Energy
5,600.9tCO2e
Scope 3 · Value chain
3,914.5tCO2e
13.5%50.9%35.6%
Total energy
27.05mkWh

Consumption behind Scope 2

Flora’s read on this periodAI summary
2024/25

Footprint is 10,998.0 tCO2e, down 4.2% on the previous period, led by Scope 2.

Scope 3 sits at 35.6% of total and is still climbing. Bankside is the one to watch at 96.1 kgCO2e/m².

Total footprint
10,998.0tCO2e
▼ 4.2% vs previous
Scope 2 change
-7.9%
biggest mover
Scope 3 share
35.6%
▲ 2.6% vs previous
Targets
1 of 2
on track
Data gap: Fitzrovia is missing 5 months, so comparisons may be affected.Ask Flora
Building pulse1 alert · 2 watch
BanksideLeak signal on the incoming main · Comfort drift in zone 3Alert
FitzroviaOverheating hours above thresholdWatch
Savile RowFlood exposure raised to mediumWatch
BishopsgateNo flags this periodOn track
water · safety · comfort · climateAll buildings

Emissions trend & reduction pathway

Year-over-year footprint by scope, against the required glidepath

AbsoluteIntensity
15k t10k t5k t0
2021202220232024
Scope 1Scope 2Scope 3Total emissionsReduction pathway
Building performance leaderboard
#BuildingEmissionsStatus
1Bishopsgate2,894.4 tCO2eGood
2Bankside2,151.8 tCO2ePartial
3Savile Row1,486.2 tCO2eGood
4Fitzrovia1,109.7 tCO2ePartial
View all buildings
Requires attention5
FitzroviaOnly 7/12 months of data
BanksideOnly 9/12 months of data
3 submissions awaiting reviewSupplier and tenant data pending approval
Portfolio coverageOnly 82% of buildings fully reporting
Validate outlier performanceBankside, highest intensity at 96 kgCO2e/m²
Data quality snapshot
Complete data9 · 82%
Partial data2 · 18%
No data0 · 0%
Total buildings11
Target progress
TargetAchievedProgressStatus
Net zero pathway 203042% reduction target18.4%44%On track
SBTi near-term 202825% reduction target8.9%36%Behind
View all targets
Fig. 1Platform overview.

Sustainify AI does not produce dashboards.

It produces outputs your business actually uses. A SECR report. A GRESB data pack. A CSRD disclosure narrative. A tenant recharge schedule that survives a dispute. An audit lineage export your assurance team can follow without contacting your team. Governed data, traceable calculations and locked periods are not features. They are the foundation everything else is built on.

Six steps. One source of truth.

  1. 01

    Define your boundaries.

    Organisational and operational boundaries set properly at the start, so the reporting is audit-defensible from day one.

  2. 02

    Connect your data.

    Direct connections to BMS, smart meters, utility APIs and property management systems. No spreadsheet uploads. No manual intervention.

  3. 03

    Calculate emissions.

    The engine applies the correct governed emission factors for every source, every period and every scope, against GHG Protocol methodology.

  4. 04

    Govern your numbers.

    Every calculation is locked into the governance layer the moment it is produced. Factor version, run ID, timestamp.

  5. 05

    Report and allocate.

    SECR, GRESB and CSRD outputs, plus tenant allocation, all from the same single source of truth.

  6. 06

    Monitor automatically.

    After every calculation cycle, Living AI checks for anomalies, threshold breaches and reporting triggers, and tells the right person without being asked.

Six stages · one source of truththe sixth returns to the first
  1. boundary

    Define your boundaries.

    Organisational and operational, settled before anything is counted.

    in scope · out of scope
  2. intake

    Connect your data.

    Straight from the source system. No spreadsheet upload, no rekeying.

    bms · meters · utility apis · pms
  3. engine

    Calculate emissions.

    The correct governed factor for that source, that period and that scope.

    27,050,972 kWh×0.01830=495.03 tCO2e

    governed factor, pinned to the period
  4. engine

    Govern your numbers.

    Factor version, run id and timestamp, fixed the moment the number exists.

    run_2291 · v2024 · 12 Oct 09:41
    period locked against silent restatement
  5. output

    Report and allocate.

    Every output drawn from the one dataset, so no two of them disagree.

    secr · gresb · csrd · tenant recharge
  6. return

    Monitor automatically.

    Living AI watches the governed record and tells the right person, unprompted.

    Anomalies, threshold breaches and reporting triggers, checked after every cycle.
back to 01, every cycle
One spine, from boundary definition through to continuous monitoring.

Manual data entry is the single biggest source of error in carbon reporting.

Sustainify AI removes that layer entirely. Data arrives from the source system, gaps between meter reads and billing periods are reconciled inside the platform, and every record keeps its provenance.

See the integrations →

See the platform against your portfolio.

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