A Multilateral Financial Institution boosts its hiring accuracy by 90% to find the best candidates with impress.ai

The Background

Headquartered in China, with interests across the APAC region, the financial institution is a highly sought after employer. Receiving more than 1,000 applications each year, the task of manually pre-screening candidates was tiring and inefficient. The process was taking up to 2 weeks of recruiters’ time, reducing productivity across the team. With each recruiter reviewing hundreds of applications and hand-picking those to progress to the hiring manager, it was also subject to potential bias.

The Solution

The financial institution sought support from impress.ai to automate the process, with the goal of increasing speed and accuracy, enhancing the candidate experience and advancing the organisation’s fair hiring agenda.

Now, a conversational chatbot automates pre-screening and technical assessment, delivering the best qualified candidates in 93% less time. In addition, the chatbot expands on role information and answers FAQs, helping candidates understand the opportunity and enhancing their experience by delivering information instantly, any time, any where.

The chatbot automates the high-volume and repetitive tasks, administering all assessments in one place and seamlessly reviewing candidate submissions. The process is evidence-based and data-driven, reviewing applications against detailed qualification criteria. SAM reviews assessments at pre-screening, job-related screening, competency screening and essay phases to progress the highest potential candidates for the role, without human intervention.

By shortlisting candidates based on demonstrated competencies and domain expertise, the bot removes any potential for human bias, and allows the recruiters to shift focus to high-value activities up the chain. The financial institution’s team also have a live dashboard, giving them access to real- time insights.

The Results