A bad hire at a mid-size company costs between $50K-$240K when you factor in recruiting, onboarding, lost productivity, and the eventual replacement cycle. Most HR teams review 250+ resumes per role — spending roughly 6 seconds per resume. That's not screening, that's guessing.

Here's what we've learned building AI screening tools for HR teams:

The 3 biggest resume screening mistakes:

• Over-indexing on keywords — Candidates game keyword matching. AI can evaluate contextual skill relevance instead of just string matching

• Consistency bias — After reviewing 50+ resumes, human reviewers start pattern-matching to the last good candidate they saw, not the actual job requirements

• Speed vs. depth tradeoff — You can't read 250 resumes carefully AND fill the role fast. AI eliminates this tradeoff entirely

The real ROI of AI screening isn't just time savings — it's the quality delta. When every candidate gets evaluated against the same criteria with the same depth, you stop missing diamonds buried on page 47 of the applicant pile.

We built HireIQ for HR teams at companies with 100-1000 employees — big enough to have real hiring volume, practical enough to need tools that work on day one without a 6-month enterprise integration.

If your team is drowning in applicants and missing great candidates, we should talk.