This template resolves compliance chaos by giving you one structured place for tracking SOC 2, GDPR, and internal policies. It keeps your requirements, assignees, and progress entirely organized and visible.
The database uses connected tables to link high-level frameworks directly to specific controls and uploaded evidence. This means you can see exactly which files satisfy which requirement without endless searching.
Built-in AI automatically summarizes your framework progress and outlines immediate next steps based on control statuses. It also categorizes newly uploaded evidence files instantly, saving your team hours of manual sorting.
Using spreadsheets for compliance tracking quickly turns into a messy web of broken links. As controls multiply and multiple teams upload evidence files, rows get confused and audit readiness suffers.
A true database ensures every control is strictly linked to its framework and actual evidence files. Instead of pasting shared drive links into random cells, file attachments live directly next to their approval statuses.
This reliability is exactly what Softr Databases are designed for. You get absolute clarity on what is missing, who is assigned to fix it, and when the target completion date is.
Ditch the manual cross-referencing and view real-time rollups of how many requirements are passing. You can instantly filter missing evidence or overdue controls across all your managed frameworks.
You also spend far less time on admin work thanks to automated AI fields. When a new evidence file is logged, the system instantly categorizes it as a policy document, access log, or vendor contract.
Manage compliance team members, auditors, and staff with roles and access
Group audit structures with AI-powered goal summaries and progress tracking
Track control items using AI to generate synopses of current compliance states
Store audit proof with AI classification of documents and approval statuses
This tracking system is built for teams that need strict organization and accountability to pass their audits.
You can easily customize this database to match your exact regulatory needs and company workflows. Add new status choices for your frameworks or adjust the AI prompts to generate custom audit reports.
Moving away from your messy spreadsheets is incredibly simple. Just import your existing controls and framework lists via CSV to instantly populate the tables.
When you are ready to collaborate securely, you can transition this data into a fully interactive compliance portal. Full-stack apps consist of your database, an interface, and workflows all seamlessly connected.
By configuring strict users and permissions, you guarantee that employees only see the controls they own. Auditors and external vendors get restricted access to review approved evidence without altering your data.
A structured system that tracks regulatory frameworks, security controls, and the evidence required to pass audits. It ensures every requirement has a clear assignee and verifiable proof in one centralized location.
No-code databases give compliance teams the power to build secure, production-ready systems without waiting on IT development. You get the strict structure needed for flawless audits combined with complete autonomy to maintain the tool.
Tools like Database AI agents act as automated assistants directly in your tables to streamline busywork. They can instantly categorize uploaded evidence types, generate executive summaries for frameworks, or draft next-step instructions based on a control's current status.
Yes, you can easily connect this template to an interface builder to create a custom employee or auditor portal. You can securely manage access so security teams can upload evidence files while executives only view automated framework progress.
Yes, this template is completely free to copy and start using right away. Databases are included in the free plan, while higher-tier plans offer increased record limits for scaling your compliance programs. You also get unlimited collaborators on all plans.
Google Sheets lacks the strict relational structure needed for complex, multi-framework audits. In a database, evidence files, user roles, and framework statuses are natively connected and restricted by data types. This prevents the messy navigation and fragile formulas that commonly plague spreadsheets.
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