Six weeks. Your real job list. An agreed success metric and a measured CO₂ number your sustainability team can report against — not a modelled estimate. No cost, no integration, and no access to your systems.
The same scheduled job can carry a very different carbon footprint depending on when and where on the GB grid it runs. Across the past year, a 4-hour workload in the higher-carbon half of Great Britain could typically have cut its emissions by 25–40% simply by moving to a greener window the same day†.
That is the national picture. This pilot measures your number — with real data, on your real job list — and how much of it is removable purely by re-timing: no infrastructure change, no code change, and no reduction in work done.
GridIQ turns live and 48-hour-forecast carbon-intensity data (National Grid ESO, all 14 GB grid regions) into scheduling decisions. Upload a job list — durations, deadlines, locations — and it returns the recommended run window and location for each job, plus the measured CO₂ difference versus your current schedule.
GridIQ recommends. Your team stays in control of execution.
Agree the success metric and the job sample — we suggest 20–100 recurring batch jobs. You export a job list (CSV or Excel: schedule name, typical duration, deadline/window, location).
GridIQ produces optimised schedules. Your team applies re-timings where operationally acceptable — even a subset is fine; unmoved jobs are part of the result too. We monitor, alert on greener windows, and track actuals.
Delivered and walked through with both your sustainability and ops contacts.
Pilot data is limited to job metadata — names, durations, windows and locations. No business data ever leaves your environment, and GridIQ has no route into your systems: you send a spreadsheet, we send back recommendations. We're happy to complete a lightweight security questionnaire before you commit.
Nothing is installed, nothing is connected, nothing is executed in your environment.
Job name, duration, window, location. No payloads, no logs, no business data.
GridIQ recommends a window. Your existing scheduler and your team trigger the run.
The pilot is free, in exchange for two things — permission to cite the aggregate result (anonymised by sector, so “a UK financial-services organisation”, if you prefer), and a 30-minute feedback session at the end. If the pilot passes its success metric, we'll propose commercial options — including running GridIQ inside your own environment under a source licence, if that's your preference.
Book a 30-minute scoping callTell us roughly what your batch estate looks like and we'll come back with whether a pilot makes sense — and what your sample should be. Bring both your sustainability lead and someone from platform or ops if you can; the pilot works best when both are in the room.
† Based on National Grid ESO regional carbon-intensity data for all 14 GB grid regions, 10 August 2025 to 10 August 2026. Modelled as a 4-hour workload, comparing its scheduled window against the lowest-intensity 4-hour window available in the same region on the same day. Figures are medians across 365 days for the seven highest-intensity GB regions: 25% assumes ±6 hours of deadline flexibility, 40% assumes full-day flexibility. Your own figure depends on your regions, run windows and deadline flexibility — which is precisely what the pilot measures.