L8MS Legionella risk assessment upgrade October 2026

Much of the functionality remains unchanged, but we thought it was time for a visual upgrade, redesigned modern layouts that work on phones and tablets applied to: -

• • Login, home dashboard, and assessment list
  • Admin pages, Users, User Restrictions, Credits, Create Assessment, Company and Assessors
  • Clearer error pages should things go wrong

Security

• Optional Two-factor authentication (MFA) with an authenticator app for admins.
• Additional password encryption.
• More secure file and photo download handlers
• Improved admin access controls and additional SQL injection risks closed.

Performance and reliability

• Unused code removed, resulting in pages loading faster.
• Improved browser error logging, so problems can be found sooner.
• Further support for special characters in survey answers.

Legionella assessments

• New asset reorderability, drag-and-drop tree for setting the asset order.
• Optional new “Asset Matrix” report grid that can be added to custom reports.
• Optional assessment reference number, shown in the assessment list
• Executive summary editing now uses rich text throughout
• Improved sorting of survey answers
• New dynamic allocation of responsibilities tool, allowing greater company specific design and addition of tasks based on the surveys completed.
• Added the ability for assessors to upload a signature for addition to final reports.
• Improved tracking of assessment completion and authorisation dates.
• Improved filters on the assessment list, including assessment status and the assessor completing the assessment.
• Automated warnings if surveys are not current before they are downloaded to the mobile App.
• Assessors can now upload personal professional competencies, which will automatically be added to assessments (if the assessor competence section is left blank)

Domestic assessments

• Pages rebuilt for Assets, Photos, Survey, Review, Standards and Overview

 What’s next

·         Incorporating additional survey questions about the site, which can then be fed to AI for draft preparation of the executive summary based on findings and standard models.