Case Study
DocuGen Document Automation Rebuild
60s -> 3s
load time improvement
AWS Lambda
serverless generation
DynamoDB
job-state foundation
Product experience
DocuGen for monday.com
Generate documents from boards, placeholders, and templates.
01
Template setup
Users configure reusable document templates and placeholders for monday.com board data.
02
Field mapping
Board fields are mapped into document placeholders so repeatable documents can be generated consistently.
03
Generation status
Serverless jobs update state as documents are prepared, rendered, and made available.
DocuGen workflow
Placeholders
Delivery Settings
Document Preview
About the product
Document automation inside monday.com workflows
DocuGen helps teams create repeatable documents from monday.com board data. The app sits in a workflow where users already manage customers, projects, requests, and operational records, then turns that structured data into document output.
Business context
Automation loses value when users have to wait
Document automation is supposed to remove manual copy-paste work, but slow loading and unclear generation states can make users fall back to manual processes. Marketplace apps also need to feel reliable inside the host platform, where users expect quick feedback.
The challenge
Rebuild the app for speed, clarity, and repeatable generation
The existing experience needed a faster load path, clearer UI, and backend generation flow that could handle document jobs without blocking users or losing state.
- Reduce slow app load and generation wait times.
- Rebuild the UI around clearer template and mapping flows.
- Move document generation into reliable serverless execution.
- Track job state and output metadata in DynamoDB.
- Make repeated document generation feel practical for marketplace users.
What QtaSO delivered
A performance-focused rebuild of the document generation app
QtaSO rebuilt the user interface, AWS Lambda generation path, and DynamoDB-backed job logic. The implementation made document automation more responsive while preserving the core marketplace workflow of turning board data into generated output.
- UI rebuild for faster interaction and clearer workflow states.
- AWS Lambda document generation logic.
- DynamoDB job-state and metadata handling.
- Performance cleanup around load and generation paths.
- Workflow polish for template mapping and repeatable output.
Impact
Load time reduced from 60 seconds to 3 seconds
The rebuild reduced load time from 60 seconds to 3 seconds, turning a frustrating wait into a usable marketplace workflow. The faster experience made document generation more repeatable for teams working inside monday.com.
Architecture
AI Video Generation Pipeline
01
monday.com board data
02
Template selection
03
Field mapping
04
Generation request
05
AWS Lambda rendering
06
DynamoDB job state
07
Completed document
Automation output
Repeatable documents generated from structured work data
The final system turns board records and templates into document output with faster load times, clearer status, and serverless generation logic.
Render-ready formats for listing pages, social feeds, ads, and sales follow-up
Next step
Ready to automate video production?
Turn property data, media assets, and campaign rules into a repeatable AI-powered workflow.