
Environmental Consultancy · Case Study
How an environmental consultancy standardised its desk-based assessment stage across every project.

265+
data layers screened per site
Greenwood's consultants were manually compiling desk-based environmental assessments from a patchwork of separate sources — Natural England datasets, the Environment Agency flood maps, and local authority contaminated land registers — with inconsistent results between junior and senior staff. There was no shared baseline that everyone in the consultancy worked from, which made quality control on desk studies time-consuming.
Greenwood built a standard desk-study template around Maplify's environmental layers, covering SSSIs, Special Areas of Conservation, ancient woodland, nitrate vulnerable zones and contaminated land in one pass, with every finding referenced back to its official source and reference date. Junior consultants now follow the same template on every instruction, with senior ecologists reviewing the output rather than rebuilding it from scratch.
Desk-based assessments are now consistent across the whole consultancy regardless of who runs them, and junior consultants can produce a reliable first-pass screening that senior ecologists then verify and build on — reducing internal review time significantly. The consultancy has also been able to take on a higher volume of instructions without proportionally increasing senior staff time on early-stage screening.
"It standardised our desk study stage overnight. Everyone is now working from the same baseline, with the same sources cited."
— Principal Ecologist, Greenwood Environmental
265+
Data layers available to screen
1 pass
To screen every environmental designation
↓
Senior review time per desk study
Greenwood Environmental is one of a growing number of environmental consultancy practices moving constraint checks earlier into the workflow rather than treating them as a late-stage validation step. By starting every instruction with a single, evidenced Maplify search — rather than manually cross-referencing several separate government portals — the team removed a significant source of repeated, low-value work from every project, and reduced the risk of a constraint being discovered late enough to disrupt a client relationship or a delivery timeline.
The underlying pattern is one Maplify sees across sectors: teams that screen constraints first, before committing meaningful time or budget to a site, can reduce time spent on rework and more time on the judgement-based work that actually needs a qualified professional. Whether that is a chartered surveyor's physical inspection, an architect's design response, or a planning consultant's case for a scheme, the constraint data itself is now a fast, standardised starting point rather than a bottleneck.
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