If you’re reading this, you probably feel strongly about a planning application near you. Something doesn’t sit right — especially the way the council keeps saying things like: “to be addressed through conditions,” “to be secured via later agreements,” “indicative at this stage”
This is Committee Evidence Capture — a small, focused tool designed to help you capture, transcribe, and preserve planning committee evidence quickly and reliably. It’s intended for planners, solicitors, consultants, researchers, and anyone who needs a clean, searchable record of committee discussions without spending hours doing manual work.
PGAT supports planning professionals by providing a structured overview of procedural context, evidence references, and decision sequencing, helping reviewers quickly understand where governance considerations may require closer professional examination.
PGAT provides structured analysis of procedural and governance-related aspects of planning records, while intentionally excluding planning merits, legal conclusions, and professional judgment to ensure outputs remain appropriate for review.
PGAT processes defined input materials from planning application records and produces structured outputs that summarise procedural context, evidence references, and review-ready findings to support further professional assessment workflows.
PGAT applies automated techniques to assist governance review, but remains subject to defined limitations, requiring professional interpretation, contextual understanding, and judgment when assessing procedural and evidential matters.
PGAT is seeking a small number of planning and legal professionals to participate in a controlled pilot programme, providing structured feedback on real-world use prior to wider availability.
Lee is an independent practitioner specialising in planning governance, procedural review, and evidence accessibility within complex planning application records.
He also has extensive experience developing production-grade Python applications, with particular emphasis on data processing, automation and structured analysis.
