Funding: Data2Sustain EDIH
Rehab Group
Rehab Group is a national organisation supporting people with disabilities to access education, training, and employment. To enhance inclusive employment services, Rehab partnered with the WiSAR Lab through the Data2Sustain EDIH programme to automate the discovery of suitable job opportunities, reduce manual workload, and improve outreach efficiency.
The Challenge
Rehab Group staff manually searched multiple recruitment platforms to find suitable vacancies for jobseekers with disabilities.
The challenge was to design a system that could:
- Automatically identify open job vacancies suitable for candidates with disabilities.
- Aggregate listings from multiple recruitment platforms despite a lack of standardised data formats.
- Ensure data accuracy, minimise duplication, and enable fast outreach to employers.
- Free staff time to focus on client support and relationship building rather than repetitive data collection.
The key question: How can we use AI and automation to simplify job discovery and improve accessibility for inclusive employment services?
WiSAR Solution
Data2Sustain and WiSAR Lab collaborated with Rehab Group to co-design and prototype an automated job aggregation and lead generation tool. The system uses AI, web scraping, and data processing pipelines to consolidate listings from multiple job boards into a single, filterable dashboard.
The solution enables Rehab Group to:
- Automatically gather job listings from platforms such as Indeed, JobsIreland.ie, and LinkedIn
- Filter roles by location, category, and relevant keywords (e.g., “Entry Level”, “Unskilled Labour”)
- Identify hiring contacts using Generative AI when not provided in listings
- Produce CRM-ready job entries to eliminate manual data entry and duplication
- Deliver real-time updates, allowing staff to act quickly on new opportunities
This prototype demonstrates WiSAR’s ability to apply AI, automation, and data integration to support social impact and inclusive employment initiatives.
Impact & Benefits
- Time Savings: Over 20 staff hours saved weekly, equivalent to ~€26,000 annually.
- Coverage: Threefold increase in available vacancies compared with manual searches.
- Accuracy: Improved data consistency with duplication eliminated.
- Faster Engagement: AI-supported hiring contact identification reduces lead times from days to hours.
- Scalability: System architecture supports expansion across additional job platforms and regions.
Social & Economic Benefits:
- Enhanced support for people with disabilities through faster access to suitable opportunities.
- Operational cost savings and increased staff capacity for personalised client engagement.
Community Benefits:
- Strengthens local economies by connecting more candidates with employers.
- Promotes inclusive hiring practices and reduces employment barriers.
