Digital Planning
Extract, a new AI-powered tool developed by MHCLG's Digital Planning Programme and i.AI, is now available for free, for every local planning authority in England. It converts planning documents into structured, usable data in minutes - cutting a process that can take officers up to two hours down to just two on average.
Regulations have been laid in Parliament requiring local planning authorities to publish plan and timetable data in a standardised format, when creating local, minerals, waste or supplementary plans under the new plan-making system. This marks a major step towards a more open, data-driven planning system.
England's planning system holds decades of valuable data locked in scanned PDFs and digital documents. Extract, an AI tool developed by MHCLG in partnership with the Incubator for Artificial Intelligence, converts historic planning maps and documents into standardised, usable data - so local authorities can make their data available and power digital planning services.
New technology is transforming how planning is delivered. 3 of the 4 finalists in this year's Planning Awards' digital technology category are funded by the Digital Planning programme, demonstrating how AI tools and technology are saving time, improving consistency and helping deliver 1.5 million homes.
Local planning authorities are modernising planning services using open data. New software like PlanX is improving the experience for applicants, while back-office improvements are speeding up processing. New funding will help more authorities adopt tools and make improvements, freeing up planning teams to focus on delivering the homes communities need.
What turns a case study into something people can use? Insights from local planning authorities shaped a user-centred approach to a series of digital planning case studies, helping them sit alongside plan-making guidance, support peer learning and build confidence in how planning teams use digital tools.
We’re exploring if AI can help support faster local plan preparation. An AI tool developed by Greater Cambridge Shared Planning and the University of Liverpool is now being stress-tested by 5 local authorities, to see if the initial results – accurate consultation summaries produced in a fraction of the time - can be replicated elsewhere.
We've completed the first phase of testing new data standards for planning applications. Working with local planning authorities, software suppliers and the Planning Portal, we examined how draft specifications align with real systems and workflows. The result? A clearer understanding of what works and what needs refining before wider implementation.
Planning data locked in PDFs and legacy systems creates barriers for everyone. This February, 49 more local planning authorities are joining the Digital Planning Improvement Fund to publish essential planning data in open, standardised formats making it easier for residents, businesses and developers to find what they need.
Every year, local planning authorities make hundreds of thousands of planning decisions. Right now, planning decisions are recorded in dozens of different formats. Find out about the work taking place to change that by creating a data standard for planning decisions.