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About This Automation
Evaluating new property sites for acquisition requires manual research across planning records, environmental databases, and utility availability. This fragmented process consumes weeks of analyst time per site and delays deal progression.
Automation retrieves planning data, environmental records, and utility information automatically, then scores feasibility against developer criteria. Reports are compiled and distributed the same day, accelerating site evaluation and deal velocity.
Key features:
Retrieve planning history and zoning data from public council databases automatically
Check flood risk, environmental registers, and contamination records in parallel
Verify utility availability and access constraints without manual outreach
Calculate weighted feasibility scores based on planning, environmental, utilities, and market factors
Compile and distribute feasibility reports to stakeholders on the same day
Update deal status and notify the team automatically upon completion
The issues teams report most often with this process
#
Friction point
Companies Report This
1
Manual council database searches
Analysts spend 35 minutes per site manually searching planning portals, downloading documents, and cross-referencing zoning records.
80%
2
Fragmented environmental data sources
Flood maps, environmental registers, and contamination databases are checked separately, requiring multiple logins and manual note-taking.
67%
3
Manual feasibility scoring and entry
Analysts manually calculate weighted scores and re-enter data into spreadsheets, introducing calculation errors and duplication.
53%
4
Report compilation delays
Collating findings into a formal report takes 20 minutes per site and often requires multiple revisions before stakeholder sign-off.
40%
5
Utility verification bottleneck
Confirming water, gas, electricity, and access availability requires manual outreach or map checking, delaying feasibility decisions.
26%
DisclaimerAll data is based on anonymized FullSpec mapping sessions and proprietary industry research. Learn more
Automation readiness
How well-suited this process is for automation
Process Pain Score™Manual research across fragmented databases delays site evaluation by weeks and.
9.1/ 10
AI Fit Rating™Planning, environmental, and utility data are highly structured and available.
9.1/ 10
Automation Lift Index™Automation reduces per-site assessment time by 75% and accelerates deal.
8.7/ 10
Hidden Overhead™Context switching between databases, manual data entry errors, and delayed.
7.3/ 10
How The Automation Works
The full workflow, from trigger to completion.
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1. New site prospect loggedtrigger
A new site record is created or, triggering the feasibility workflow.
2. Fetch planning and zoning data
The automation queries public planning APIs and council databases using the site postcode and address, retrieving planning history, zoning classification, and any outstanding conditions.
3. Check flood and environmental registers
The automation pulls flood risk, environmental contamination, and protected site data from public registers and logs results.
4. Verify utilities availability
The automation checks utility availability databases and appends water, gas, electricity, and road access status to the site record.
5. Calculate feasibility score
The automation scores the site across planning, environmental, utilities, and market factors using a weighted scoring model, then stores the score in the deal record.
6. Generate feasibility report
The automation compiles all gathered data into a structured report and stores it as a PDF attachment in the deal record.
7. Update deal status and notify team
The automation updates the deal status, posts a summary, and sends the feasibility report to stakeholders via email.
Everything you need to know before mapping this process.
The automation queries public council planning databases, environmental registers, flood risk maps, and utility availability records. It retrieves the same information analysts would gather manually, but in minutes instead of hours.
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