For example, I might use chatgpt.com to help summarize or work through non-sensitive material, then floment.ai to track the tasks and next steps that come out of that work. The actual governed records still stay in the organization's approved records system. It sounds simple, but keeping “the record” separate from “the work I need to do about the record” makes things much cleaner. How do you handle that separation in your organization?

Migrating an acquired company's entire historical database onto your active servers without filtering out their redundant, obsolete, and transient (ROT) data is a costly mistake. Executing a defensible data clean-up purges useless files while preserving the historical, legally vital assets of the acquired brand. 1. What is your defensible plan to purge the acquired company's redundant, obsolete, and transient (ROT) data before migrating their systems to your cloud? 2. How do you ensure that you don't accidentally delete critical historical records that contain the founding decisions of the acquired brand? Action Item: Write a 1-page "M&A Defensible Disposition Authorization" form to secure final executive sign-off before purging inherited ROT data.

Employees often use unauthorized apps or personal cloud drives to bypass clunky internal systems, creating massive, unmanaged record silos. Identifying these rogue applications allows you to capture missing records and understand where your official systems are failing users. 1. Have you noticed employees conducting official business on personal messaging apps or unauthorized cloud accounts? 2. Why do your users feel the need to bypass the approved Electronic Records Management System? Action Item: Survey three colleagues to find out what unofficial tools they use to share large files.

Dear colleagues I’d appreciate your professional views on how you manage systemised records in relation to the file plan. In our organisation, we use Sage for various business processes. For example, employees apply for leave through Sage, and performance appraisals are also created and maintained on the system. My question is: Should records that are created and maintained in a system such as Sage be reflected/classified on the organisation’s file plan, or should they be managed separately as systemised/electronic records? For example: - Leave applications and approvals - Performance appraisals - Payroll records - Financial transactions - Employee-related records How do you handle the classification, retention and disposal of these records in your organisations? I’d particularly appreciate hearing from colleagues who have dealt with similar systems and how you align the file plan, systemised records and disposal requirements. Thank you in advance for sharing your experience.

Happy Monday! Relying on busy employees to manually tag and classify files is a failing strategy. Building an automated AI-driven classification engine uses machine learning to read document text and apply functional retention codes automatically at the point of creation. 1. What specific training data will you use to teach an AI classifier how to identify and separate a legal contract from a marketing brochure? 2. How will you align your AI's auto-tagging rules with your existing functional business classification scheme? Action Item: Select 20 sample documents of two distinct classes (e.g., 10 invoices and 10 contracts) to act as a baseline training set for your AI model.