At a given instance, each recruiter carried more than 40 open requisitions, with sourcing and screening consuming up to 60% of that capacity. The firm already had legacy RPA tools and CRM-based automation tech stack. Both added friction instead of removing it: they automated emails and tasks, while the conversations and judgment calls that move a candidate toward an offer stayed exactly where they were. Leadership saw the potential in generative AI but had no in-house team with the depth to build a solution around recruiting rather than adapt one to it. What the team needed was the right-sized solution that moved at its speed without losing a recruiter's judgment, working inside the ATS, email, SMS, and scheduling tools it already ran on.

Extending their existing RPA and CRM automation meant more point tools that handled the repetitive parts of the job alone, without any help left every judgment call and every candidate conversation where it had always been.  

thinkbridge had the expertise and resources to build the solution the client needed with a quick turnaround and outcomes assures. We proposed a generative AI recruiter built upon this firm's own recruiting conversations, job requisitions, and language, and set inside the tools recruiters already used rather than bolted on top of them.

thinkbridge partnered with the firm's operations, talent acquisition, and technology teams to build the AI Recruiter that powers their operation today.  

Discovery was rolled out thinkAI and the thinkbridge team and the firm’s teams worked to gether to understand workflows, map their process and build an as-is understanding  that would act as the foundation for the build.  

Then with a composed thinkTeam pod, the AI Recruiter was  built upon the firm's own recruiting language and operating model. The hard part of the build was earning back the trust the earlier automation had enforced. Recruiters needed to see, from week one, that the agent would return judgment calls to them rather than take them over. It was then embedded it into the ATS, email, SMS, WhatsApp, and scheduling tools recruiters already used.  

The resulting AI recruiter handles outreach, follow-up, screening, and scheduling, personalized by role, geography, experience, and prior interaction. Recruiters keep the final say: every message it sends can be monitored, overridden, or retrained in real time, and a weekly feedback loop built from recruiter ratings, interview outcomes, and client input keeps tuning its judgment after launch. Every interaction is logged and auditable against GDPR and EEOC requirements.

The firm owns the recruiter fully and saw outcomes from week one. Over 10,000 recruiter hours was  freed in 90 days. Time once spent on repetitive tasks moved to higher-value work, and candidate experience held steady throughout, by the firm's own account.

• 3x recruiter productivity. Recruiters who managed about 40 open requisitions now manage 120 or more, with no corresponding rise in headcount.
• 80% faster candidate response. Average time to first contact fell from 48 hours to under 10 minutes.
• 70% more qualified submissions. The agent's screening runs at 95% accuracy, so recruiters see more candidates who fit the role, not simply more candidates.