Case Studies

What We Discovered During Free AI Audit Sessions with Recruitment Agencies

Recruitment AI Case Study

Three months ago the client was completely stuck they spent 3–4 hours daily on manual sourcing replies were low and the pipeline was unpredictable every deal felt like luck

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An 18-Year Recruitment Business With 1000 Clients and No Clear Way to Know When They Were Hiring

Ali had been building DNA Recruit for 18 years.This was not a small operation.The business had a sourcing team in India, account managers in South Africa, and over 1000 clients with signed terms of business.There was also a structured internal system covering everything from sourcing to placement and aftercare. Automation was not new to the business.Tools had already been explored and implemented.The real question was not whether AI should be used, but where it actually fit and where it did not. Inside the business, one major gap stood out.Over 1000 existing clients were being managed without any system to track when they were hiring.These were long- term relationships, but re - engagement depended on manual checks, database reviews, and periodic outreach.There was no visibility into real - time hiring activity.No alert when a job was posted, and no trigger to act at the right moment.The opportunity already existed within the business, but it was not being observed when it mattered. This led to another issue.Outreach was often going to people who were not hiring, while missing those who actively were.Regular emails helped maintain visibility, but they do not align with actual demand.Without timing based on intent, most outreach naturally landed too early or too late, resulting in lower response rates and missed opportunities.

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How a Biotech Recruiter Spent $80,000 With Zero Placements And What Became Clear

When Hari decided to start his recruitment business, he did not enter casually. He had a strong background in biotech, including experience at companies like Procter & Gamble, and chose to focus on clinical and R&D hiring, a space he understood deeply. He invested $80,000 into the business. This included franchise fees, access to training, tools like ZoomInfo, and an ATS. For eight months, he worked full-time, putting in hundreds of hours into outreach and candidate conversations. And yet, there were zero placements. At first glance, it looked like a market issue. Biotech hiring had slowed down, and that seemed like the obvious explanation. But once the full workflow was examined, a different pattern emerged. This was not a market problem. It was a systems problem.

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A 15-Year Recruitment Firm With a Strong Reputation but No System to Scale What Became Clear

Krishna had been in the recruitment business for 15 years. He had built a solid firm, 9to6 Consultants, focused on the BFSI segment and working with top investment banking clients in India. Alongside this, he had spent five years and around 75 lakhs building a campus recruitment platform, BookMyCampus, with over 1600 colleges already onboarded. By every measure, this was an established business built on experience and credibility. But during the audit, one thing became clear very quickly. The entire growth of the business had been driven by relationships, and there was no system to scale beyond them. Client acquisition had come entirely through referrals and long-term relationships. This worked well when the BFSI market was active. But as the market slowed, inbound demand dropped, and there was no structured outbound system to compensate. Previous attempts at outreach had not worked. The issue was not the channel, but the absence of a system behind it.

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