Case for AI: Talent Teams

Challenges Talent Teams Face

• Most talent teams rely on platforms like Gusto (for crypto), Wellfound, Ashby, LinkedIn, or their own careers pages to manage hiring.

• Startups typically go with off-the-shelf solutions, but more mature talent teams prefer to build something custom to fit their exact needs.

• With the rise of full-stack application builders, we’ll see more teams developing their own highly customized applicant tracking systems (ATS).

• Automation has always been a key part of hiring, which is why teams like Attio (with their no-code automation builder) excel—helping talent teams automate repetitive tasks.

• But automation alone isn’t enough. Talent teams will still face major operational challenges.

• This is where AI agents come in—seamlessly integrating with custom-built recruiting systems and handling processes that otherwise require human intervention.

• AI agents trained on a company’s internal datasets and hiring methodologies will be far more valuable than generic marketplace agents (like those from Agent AI) that only scratch the surface.

Where AI Agents Can Help

Recruitment Agencies

• Payment & Invoice Management

• Candidate & Client Engagement

• Client Database Management

• Data Enrichment & Sentiment Analysis

• Recruiter Notes & Insights

AI Agents Will Eat SaaS Markets

Recruiting tools today are flooded with surface-level AI agents that don’t solve deep, operational pain points. The real opportunity is in deeply integrated, domain-specific agents that replace expensive SaaS contracts and fully automate recruiting workflows.