A leader in matching top-tier talent with ambitious companies was processing around 12,000 applications a month, and that volume was putting real strain on the business. Consultants were manually screening roughly 3,000 applications a week, spending about 3 minutes on every CV, time that pulled high-value consultants away from the work that actually needed their expertise and into repetitive, low-impact administrative tasks. That manual pace came with real risk too: delayed response times threatened to cost the business top candidates in a competitive job market, where speed often decides who gets the offer. Without automation, scaling the business meant scaling headcount right alongside it, and maintaining screening quality while increasing speed remained a persistent concern throughout. The company needed a way to screen faster without screening worse.
Ascendion implemented an AI-powered recruitment solution using Agentforce, centered around a custom CV Pre-Screening Engine that automated application intake in Salesforce, with CV parsing handled through a custom Apex solution.
Salesforce’s Atlas Reasoning Engine evaluated candidates against predefined criteria, including right to work, residency, experience, and sales interest, and routed each application through decision-based workflows: green applications auto-scheduled next steps and triggered outreach via HubSpot, amber applications were routed to a consultant review queue, and red applications moved through automated rejection workflows with scheduled communication. Outlook was integrated for availability checks and HubSpot for seamless candidate engagement, while flexible, instruction-driven logic made it easy to update the system as hiring needs evolved. Throughout, AI-generated reasoning was captured for transparency and human review, keeping consultants in the loop rather than out of it.
Tech Stack:
Reduced manual screening effort by up to 50%, freeing consultants for high-value engagement.
Enabled instant candidate communication, improving response times and candidate experience.
Increased the ability to secure top talent by engaging candidates at the right moment.
Maintained quality and control through a human-in-the-loop approach and transparent AI decisioning.
Improved operational efficiency and scalability without increasing team size.
Created a flexible, future-ready recruitment model that adapts to evolving market demands.
