Firemind + AWS: AI-powered document automation for UK council form processing (Maidstone Borough Council, Tunbridge Wells)
Use case typeIntelligent document processingUpdated Jun 13, 2026
Firemind automated council intake for scanned citizen forms and photos arriving in the wrong orientation. Citizens receive immediate feedback when the wrong photo is uploaded; Amazon Textract then extracts fields such as name, address, and vehicle details for downstream processes. The workflow reduced manual tasks for council staff by one-third and helped services reach citizens faster.
- Organization
- Maidstone Borough Council
- Industry
- Public Sector
- Location
- United Kingdom
- Published
- May 2021
Reported outcomes
Strategic outcomes
Speed & agilityAutomated form processing workflowCustomer experience & trustImmediate feedback on upload errorsScale & capacityReduced manual processing workloadCustomer experience & trustFaster delivery of citizen services
Primary read
Use case focus
Showing 2 of 2
- 1Document Processing
- 2Intelligent Automation
- Council staff manually handled scanned forms and photos, including rotating incorrectly oriented images and copying key information.
- Delays occurred while humans validated queue items and reviewed submissions.
- Firemind used Amazon Textract to analyze uploaded documents, identify text orientation, and extract form data.
- The workflow provides immediate feedback to citizens if the wrong photograph is uploaded and then processes the correctly oriented image automatically.
- Amazon Comprehend is referenced as part of the broader NLP workflow in the article.
Technologies
- Manual tasks for council staff were reduced by one-third.
- The solution improved staff time efficiency and enabled faster delivery of citizen services.
- Citizens no longer had to wait days for a human worker to flag upload errors.
Implementation partners1
Sources & evidence1
Groundedness: 5/5Type: Blog PostPublished: May 4, 2021Publisher: AWSEvidence: VendorConfidence: Medium
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