AyenAutomatesWorkflow example
AI-assisted CV formatting
A document application pattern for extracting reviewed CV content and preparing it in an approved presentation template.
01 / The problem
Where the work gets stuck
CV documents can arrive in varied formats and require repeated restructuring before they match an approved template.
02 / The approach
One connected workflow
A controlled document workflow can extract selected fields, flag uncertain content, and prepare a formatted draft for review.
Start with the information and channels the workflow is allowed to use.
Make validation, routing, and exception handling explicit.
Keep people responsible for decisions that need context or approval.
03 / Workflow
A practical view of how information moves from the first input to the final handoff.
- 01
Receive an authorized source document.
- 02
Extract the approved fields and flag uncertain content.
- 03
Map reviewed content into the selected template.
- 04
Prepare the formatted document for human approval.
04 / Project details
Document intake and extraction
The application is designed for recruitment agencies, consulting firms, and other teams that need to transform differently structured candidate documents into consistent client-facing CVs.
Source document handling
- Accept PDF and DOCX source files.
- Use OCR when relevant content is embedded in an image or scan.
- Extract selected identity, education, experience, skills, and project fields.
- Flag uncertain or missing content instead of silently filling gaps.
CV preparation
- Map reviewed content into a custom client-ready template.
- Support multiple templates for different clients, projects, or submission requirements.
- Apply role-specific formatting rules and section ordering.
- Compare CV content with a job description using semantic matching and relevance scoring.
- Prepare the generated document for recruiter review before it is shared.
SaaS administration
- Manage users, roles, and access to templates.
- Monitor document processing from an administration console.
- Track usage or credits where the commercial model requires it.
- Keep source documents, generated outputs, and processing status connected.
A system of this kind can combine Python, Node.js, Appsmith, Replit, language models, and APIs to extract and prepare reviewed document output.
A useful starting point
Is a similar handoff slowing your team down?
Bring the current process, the systems involved, and the exceptions your team handles manually. We will identify a useful first scope together.
Book a discovery call