Draft rejection emails for candidates
Send an automated rejection email when a candidate is marked rejected, using AI to personalize it to their background, drafting it for recruiter review when rejecting candidates after interview stages, and tagging strong fits for the talent pool.
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When a candidate's status changes to rejected in [ATS name], the automation pulls the candidate's profile, stage reached, job description, and rejection reason, then uses [AI model provider] to write a personalized, empathetic rejection email that references their background. For early stage rejections, it sends the email directly via [email client name]; for rejections after interviews, it saves a draft in the recruiter's [email client name] for review. It logs the email to the candidate timeline in [ATS name], tags high scoring candidates for the talent pool in [ATS name], and notifies the recruiter via [notification channel, e.g. email/Slack].
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Problem
Recruiters manually write rejection emails for candidates, trying to personalize each message while maintaining empathy and protecting employer brand. This emotionally draining task often results in generic, delayed, or inconsistent communication that damages candidate experience. Manual processes also mean strong candidates who weren't the right fit this time don't get properly tagged for future opportunities.
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Solution
When a candidate's status changes to rejected in the ATS, the automation pulls the candidate's profile, stage reached, job description, and rejection reason, then uses AI to write a personalized, empathetic rejection email that references their background. For early stage rejections it sends the email directly; for rejections after interviews it saves a draft for the recruiter to review. It logs the email to the candidate timeline, tags high scoring candidates for the talent pool, and notifies the recruiter.
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Impact
Every rejected candidate gets a timely, personal response instead of silence or a generic note, protecting employer brand and keeping strong applicants open to future roles.
Benefits
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Reduced recruiter writing time
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Higher candidate satisfaction scores
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Increased reapplication rates
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Larger qualified talent pools
Who is this for?
Success stories
Adapt at speed with visual-first automation and AI
Make drives efficiencies, solves problems, and speeds innovation by breaking down silos across your business.
