Umamy Blog
Insights on AI-powered hiring
Talent strategy, founder-led hiring, and the tools shaping how great teams get built.
How to Actually Deploy AI Agents in Your TA Team
A practical playbook for TA leaders on evaluating AI agent tools, running a pilot that delivers results, and bringing your team along without the most common failure modes.
AI Agents in Hiring: What Every TA Leader Needs to Know
AI agents aren't another wave of chatbot hype. Here's what they actually are, why this moment is different, and what it means for your talent acquisition function.
Your TA Team in the Age of AI Agents: What Actually Changes
AI agents are absorbing the execution layer of recruiting. Here's what that means for every role on your TA team — and where human judgment becomes more important, not less.
90% of Companies Use AI in Hiring. Fewer Than 5% Are Seeing It Work.
AI adoption in hiring is nearly universal. Transformational results are not. Here is the structural reason why — and what the 5% are doing differently.
The Resume Is Dead. Long Live the Evidence.
Generative AI has made the resume easier to fake than ever. But the real problem isn't cheating — it's that the wrong artifact was at the center of hiring for decades. Here's what replaces it.
The Resume Is Now a Liability
AI-generated applications have surged 239% in a year. Recruiters now open resumes looking for reasons to doubt, not reasons to say yes. Here's what that means for how we hire — and what verification actually looks like.
What We Shipped in July: Smarter Filters, Slack Alerts, and a Table View That Actually Works
Umamy's July 2026 product update: 30+ new candidate filters, Slack notifications in beta, manual candidate import via LinkedIn URLs, and a rebuilt table view for the candidates screen.
Hunt setup AI-first, assistant everywhere, inbox — July update
Hunt setup went AI-first. The assistant is now everywhere. Candidate recommendations have a unified inbox. Here's everything we shipped this month.
Hiring Software Shouldn't Wait for You to Open It
The dashboard model assumes the user shows up. Hiring managers hire twice a year and have a full-time job in between. That assumption is why pipelines go stale.
Your Hiring Data Should Be Reachable From Any AI. That's What MCP Is For.
The questions people ask about a hiring pipeline are different every time, which is exactly what a dashboard can't handle. The Model Context Protocol changes the shape of the problem.
We went to VivaTech. Here’s what we took away.
Umamy was at VivaTech 2026 in Paris. Three days of conversations with talent leaders and founders — here's what came up, over and over.
Talent pool, AI assistant, activity feed — May update
The talent pool exits beta, the AI assistant is everywhere, the activity feed is live, and intent detection flags candidates before you ask. May 2026 update.