Use case · Net zero
A target without a governed baseline is a press release.
SBTi validation requires the lineage and factor versioning most estates cannot produce. Sustainify AI builds the pathway on a baseline that is locked, evidenced and reproducible, then tells you when you drift off it.
What Sustainify AI delivers
Reduction pathway modelling against a governed baseline
SBTi alignment pack, with every figure carrying the lineage and factor versioning validation requires
Per-target trajectories across the portfolio
Progress tracking with Living AI surfacing variance automatically, not annually
Asset-level variance reports showing which buildings are pulling the portfolio off track.
- SBTi
- GHG Protocol
- TCFD
- UK GHG Conversion Factors
The baseline
Separate what you cut from what the grid cut.
A Scope 2 trend priced on each year’s grid factor mixes two things: the electricity your buildings stopped using, and the carbon the grid stopped emitting. The UK generation factor fell 36.8% between the 2023 and 2026 sets, so the same consumption now reports 36.8% less. A target that cannot tell the two apart is partly measuring the national grid.
Holding the factor at the baseline separates them. That only works if every figure still carries the factor set that priced it, which is what pinning factor sets to their period is for.
When a factor set changes how it is calculated rather than what the grid did, the GHG Protocol asks for the base year to be recalculated. Decide that once, record the decision, and apply it to every year, or the pathway compares two methods.