This template gives you a centralized system to track, manage, and resolve every internal request. Stop chasing managers for sign-offs in chat logs and email threads.
It connects Approval Requests directly to Users, Departments, and an ongoing trail of Comments. Because it relies on relational tables, you always know exactly who requested what, who needs to approve it, and its current status.
Built-in AI instantly classifies incoming requests based on user descriptions and evaluates the sentiment of feedback comments, keeping your queue organized without manual triage.
Tracking requests in spreadsheets usually ends in chaos. Rows get accidentally overwritten, status columns fall out of sync, and attaching feedback threads to a specific decision becomes impossible.
In a structured system, data types are strictly enforced so drop-downs stay consistent and relationships between items actually work. You can link a pending hardware request directly to the IT department without relying on broken VLOOKUPs.
This is exactly what Softr Databases are designed for. Every request, user, and department lives in its own table, but they connect seamlessly to give you a single source of truth.
You can immediately log requests, assign approvers, and track real-time statuses from "Draft" to "Approved." Department heads can efficiently view only the requests relevant to their teams.
Thanks to native Database AI agents, this template categorizes submissions on the fly. You simply describe what you need, and the system automatically tags it as an expense, time off, or hardware request.
Manage individual profiles, system roles, and department assignments
Organize organizational units and track total approval volumes per group
Track requests with AI classification based on descriptions and status
Log feedback and use AI to analyze sentiment of communication threads
This system is built for teams that need to standardize how requests are submitted, reviewed, and approved.
You can customize this database in minutes to fit your exact workflows. Modify the status dropdowns, add new request classifications, or adjust the AI prompt to categorize items based on your specific company policies.
If you already have a backlog of pending requests, import them via CSV. Your historical approvals and active queue will map perfectly into the new relational structure.
When you are ready to scale, you can easily build an app on top of this structure. You could create an employee portal where staff naturally submit requests and a dedicated manager dashboard for reviewing them.
By utilizing native users and permissions, you can ensure employees only see their own requests while department heads see everything under their purview. Starting with a well-structured database makes building these secure, full-stack apps effortless.
An approvals database is a structured system that tracks requests, reviews, and decisions in one centralized hub. It records who submitted an item, who needs to sign off, and the real-time status of the request.
A no-code database gives you production-ready infrastructure without needing an engineering team. It provides strict data types and relational structures, ensuring your approval workflows remain stable and accurate as your company scales.
AI automates the manual triage of incoming requests. Using configurable fields, built-in AI agents can read a request's description and instantly categorize it as a budget request, time off, or IT need. It can also analyze the sentiment of feedback comments to help managers measure urgency or frustration easily.
Yes, you can easily connect this database to an interface builder to create a custom internal portal. Employees can log in to submit requests, while managers can access a dedicated dashboard to approve or reject items. You have full control over permissions to ensure everyone sees only the data relevant to their role.
Yes, it is completely free to get started. Softr databases are included in all free plans so you can copy the template and begin tracking requests immediately. As your team grows, higher-tier plans offer increased capabilities and higher data limits.
Spreadsheets lack the relational structure needed for complex work interactions. If a manager's name changes or a department shifts, spreadsheet formulas break, whereas a database natively links records (like Users to Requests) so everything updates automatically and reliably.
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