Scaling healthcare hiring with speed and precision

High volume, high turnover, high costs

Hiring in the care and healthcare sector is notoriously difficult. Above all, recruitment teams are searching for the golden candidates – those with the right cultural and capability fit for mission-critical roles, to help the most vulnerable people in our communities. With record-high candidate volumes, stretched recruitment teams, and rising turnover costs, hiring teams struggle to balance it all.

These four organisations were facing difficulties in achieving their hiring objectives:

• Aged care not-for-profit Anglicare needed to drastically reduce time-to-offer and increase their candidate pool without sacrificing quality.

• Abano Healthcare, Australasia’s largest dental support organisation, had 13 recruiters & 5 support staff spend 80% of their time screening, leading to high operational costs.

• Family & child services organisation Berry Street’s small recruitment team struggled to find the people with the empathy and resilience needed to thrive in a demanding environment.

• Disability services provider Scope had no visibility into time-to-offer and was losing weeks due to screening inefficiencies.

Each care provider needed a scalable, fair, and fast solution, without increasing headcount or cost.

The Solution

AI-powered hiring

Sapia.ai’s chat-based AI interviews deliver instant impact for healthcare hiring by automating screening, reducing drop-out, and providing deep talent insights.

The low-pressure nature of chat is inclusive for all groups and delivers a candidate experience that aligns with the brands’ core values, including personalised insights for every candidate.

Furthermore, Sapia.ai’s unique scoring methodology and automated workflows ensure that candidates with the right soft skills and competencies are shortlisted, improving hiring accuracy and speed.

The outcome

What was the outcome of this project?

Measurable efficiency gains for:

Anglicare

AI-driven hiring cut time-to-offer from 40+ days to just 14, while increasing their candidate pool by nearly 30% and reducing turnover by 63%.

Abano Healthcare

In the first month of using Sapia.ai, the team of 18 saved 1213 hours, or 67.4 hours each in screening & interviewing time, amounting to $25,000 in cost savings.

Berry Street

Time-to-hire dropped from 22 to 7 days with 95.4% completed candidates’ chat interviews.

Scope Disability

Sapia.ai cut manual screening time by 80%, reducing time-to-hire (TTH) by 6 days while achieving an 87.1% candidate completion rate.

“Sapia.ai has taken all the pain out of the hiring process. Now we’re getting the right people through the process and talking to our hiring managers as quickly as possible.” – Simon Miller, CEO, Anglicare

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