Blog

Bias Audits Aren’t Enough: What Employers Still Need to Validate in Pre-Employment Testing

matt@plum.io (Matt James) — Wed, 01 Apr 2026 16:02:58 GMT

Bias audits have quickly become part of the conversation around AI in hiring, and for good reason. Employers want stronger guardrails around automated decision tools, especially as scrutiny grows around fairness, explainability, and compliance.

When Every Resume Sounds Great: How to Find Real Candidate Signal Again

matt@plum.io (Matt James) — Tue, 31 Mar 2026 18:49:32 GMT

Hiring teams are seeing a new kind of volume problem. It is easier than ever for candidates to tailor resumes, generate cover letters, and submit polished applications at scale. On the surface, that sounds efficient. In practice, it often leaves employers with more applications to review and less confidence in what those applications actually reveal.

How Pre-Employment Assessments Can Surface Human Skills AI Can't

matt@plum.io (Matt James) — Mon, 30 Mar 2026 14:54:01 GMT

Hiring teams have more candidate data than ever, but not necessarily better signal. Resumes are polished. Profiles are keyword-optimized. Applications may be partially or fully AI-assisted. None of that automatically tells you how someone is likely to think, work, adapt, and perform in a real role.

Why AI-Generated Applications Are Making Validated Assessments More Valuable

matt@plum.io (Matt James) — Wed, 25 Mar 2026 18:33:42 GMT

Generative AI is changing the front end of hiring fast. It is now easier for candidates to produce polished resumes, tailor applications at scale, and present themselves more consistently, whether or not that presentation reflects real fit for the role.

Candidate Screening: Process, Methods, Tools, and Best Practices

matt@plum.io (Matt James) — Mon, 23 Mar 2026 19:59:59 GMT

Candidate screening is simple. Most screening processes are not.

Candidate screening is the process of evaluating applicants to determine who should move forward in a hiring process.

Most teams rely too heavily on resumes and keyword filters. The result is predictable. Strong candidates are missed. Weak signals are over-weighted. Decisions become inconsistent and biased.

Job Analysis and Predictive Hiring: Designing Engagement Before You Hire

matt@plum.io (Matt James) — Tue, 17 Feb 2026 16:14:46 GMT

Most organizations measure engagement. Few design for it.

HR teams invest in surveys, pulse tools, and performance reviews. Yet burnout, misalignment, and regrettable turnover persist.

Advanced AI Readiness: From Organizational Influence to Industry Leadership

neil@plum.io (Neil MacGregor) — Wed, 10 Dec 2025 16:15:18 GMT

True AI readiness isn’t about tools or training—it’s about fluency. This article explores how organizations move beyond managed adoption to self-sustaining transformation, where peer-driven innovation, talent magnetism, and governance design create lasting industry leadership.

Monitoring AI Readiness: Behavioral Metrics That Matter

neil@plum.io (Neil MacGregor) — Wed, 10 Dec 2025 16:03:03 GMT

Most AI dashboards track technical progress, not human behavior, and that’s why they fail to predict business outcomes. This article outlines the behavioral metrics that matter, showing how organizations that monitor participation, persistence, and influence achieve higher ROI from AI transformation.

The Psychology of AI Resistance: Cultural Transformation Strategies That Work

neil@plum.io (Neil MacGregor) — Wed, 10 Dec 2025 15:54:07 GMT

AI resistance isn’t a training problem—it’s a psychological one. This article reveals how social dynamics, personality patterns, and cultural narratives drive resistance—and how leaders can turn those forces into catalysts for lasting AI transformation.

Building AI Governance Culture: The Foundation for Sustainable AI Transformation

neil@plum.io (Neil MacGregor) — Thu, 20 Nov 2025 16:02:13 GMT

Governance frameworks can control AI use, but only culture makes it sustainable. This article explains how organizations that build AI governance culture—not just compliance systems—achieve faster deployment, stronger trust, and better ROI.