With job postings attracting more applicants than ever, filtering through CVs manually isn't just slow—it's ineffective. Candidates are increasingly using AI to optimise their CVs and apply to more jobs at scale, making it even harder to identify the best talent. This AI-driven CV screening workflow automatically ranks candidates based on job-relevant criteria, reducing administrative effort and improving decision-making. It integrates with your applicant tracking system (ATS) to ensure a seamless recruitment experience while minimising bias in the process.

How it works:

1. Application received: The candidate submits their application through your existing ATS and is automatically added to the AI-driven automation journey to process their application.
2. PII removal: Personally identifiable information (PII) is stripped from the CV to ensure a fair and unbiased evaluation while protecting candidates' sensitive data.
3. AI-powered CV ranking: Ask AI evaluates and ranks each CV based on job requirements, industry knowledge, and company values. The ranking prompt is fully editable and customisable, allowing you to tailor evaluation criteria to fit specific roles, experience levels, and organisational priorities.

4. AI-powered cover letter ranking: Cover letters are assessed based on clarity, relevance, and persuasiveness. The AI evaluates how well the letter aligns with the job description, highlights key skills, and conveys the candidate’s motivation. The ranking criteria are fully customisable, allowing hiring teams to prioritise aspects like communication style, industry-specific language, or alignment with company values.

5. Scoring threshold check: If the CV and cover letter score 7 or above, the candidate moves forward. If below, they are declined.

6. ATS integration: Successful candidates are automatically progressed to the "Interview" stage, while unsuccessful candidates are marked as "Declined by AI." The ATS system is updated in real-time to reflect these changes, ensuring hiring teams have the most up-to-date candidate statuses. This AI-driven workflow doesn’t replace your selection process—it amplifies it, helping you focus on top talent while reducing administrative burden.

Want to enhance your process?

Try adjusting the ranking criteria based on role-specific needs, such as experience level or key competencies. You can also incorporate AI-driven weighting to prioritise essential skills or cultural fit. Additionally, refine the workflow to trigger different automation sequences based on candidate scores, ensuring a tailored selection process.

For candidates who score in the middle range, consider introducing a manual review step to ensure that promising applicants aren’t overlooked. This allows for a balanced approach, combining AI efficiency with human judgment where it matters most.

Why use this workflow template?

• Reduce stress and handle high application volumes with ease: AI filters and ranks candidates, so you focus only on the most relevant ones.
• Reduce bias: AI ensures consistent and fair evaluation based on predefined criteria.
• Improve efficiency: Streamline hiring workflows with automated screening and ATS integration.
• Enhance compliance: Ensure data privacy and unbiased selection with automated processes.
• Better candidate experience: Faster responses improve engagement and reduce hiring delays.