Diane Wilkinson

Recruiting Operations · Governed Automation · MBA, Data Analytics · SF Bay Area · Credentials & Recommendations

Recruiter turned systems builder. Thousands of interviews across every stage gave me the ground-level insight into where talent systems break on the daily: the pain points for candidates, the friction for hiring managers, the heavy lift for recruiters, and a million micro signals in between.

I bring the practitioner knowledge most build teams don't have and the technical range to act on it. I am the bridge between algorithm and human rhythm.

AI can fake a resume. It can't fake who you are.

Find what's real. Measure what matters. Decide with evidence.

How to Find What's Real

In the age of AI-assisted applications, the resume is no longer a reliable signal. What candidates write has been optimized, coached, and in many cases generated. What they do is harder to fake.

Agent-verified facts not resume keywords. The Screening A[i]gent tool reviews applications against what's actually observable and measurable. Prior employer research: tech stack, role function, industry. Experience, authored content, speaking events, recommendations, uncovered across multiple sources.

Observable behavior, not self-reported claims. I/O psychology-proven behavioral signals that predict performance: engagement patterns, response quality, and consistency across touchpoints that can't be fabricated at scale.

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Workflow Intelligence

Pipeline velocity, funnel conversion, recruiter capacity, time-to-fill. The data every hiring team needs and almost none can see in real time.

The Pipeline Health A[i]gent tool surfaces funnel diagnostics across active requisitions. Benchmarks, conversion rates, and bottleneck flags — live from your ATS. Before anyone has to ask.

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Talent Intelligence

Attention to detail is observable. Conscientiousness is observable. Motivation is observable. We just never tracked it.

Score what candidates do. Not what they say. 30 behavioral signals across four I/O psychology-grounded constructs science shows predict job performance, tracked from the moment they apply to the moment you decide, and beyond.

Grounded in evidence, not instinct. Auditable by design.

Talent Intelligence Dashboard

Decision Intelligence

The same concepts used to evaluate AI/LLM reliability: consistency, calibration, and variance across outputs apply directly to human hiring decisions.

Few organizations have ever measured whether their hiring decisions hold up to scrutiny.

This one does. Every recommendation, every decision, every outcome is connected, tracked, and visible so the process improves over time.

The system tracks when recommendations are overridden, if we are choosing the highest scores, tells us whether what we hired for actually predicted performance, if our decisions are drifting from standards.

It surfaces the patterns that quietly shape hiring decisions, including how interviewers score.

Interviewer Scoring Chart

Bringing Decision Science to hiring

The Tools Behind the System

Pipeline Health A[i]gent

Real-time insights that eliminate bottlenecks and improve time-to-hire.

Hiring & Mobility Explore the Tool →

Resume Screening A[i]gent

Frameworks for higher-quality, lower-bias application evaluations.

Hiring & Mobility Explore the Tool →

Kickoff Planning A[i]gent

Headcount goals into operational reality.

Improvement Explore the Tool →

Candidate Scoring A[i]gent

Candidate behavioral scoring & insights.

Hiring & Mobility Explore the Tool →

ATS workflow + writeback

Stage changes, dispositions, structured fields, and clean updates where the work actually lives.

Assumed Infrastructure

AI note capture + indexing

Transcript capture, highlights, and searchable summaries to reduce loss and improve continuity.

Assumed Infrastructure

Scheduling automation

Routing, availability capture, and coordination so throughput isn't limited by calendar friction.

Assumed Infrastructure

Standardized scorecards

Consistent evaluation inputs so decisions can be compared, audited, and improved over time.

Assumed Infrastructure

Offer routing + approvals

Comp inputs, approvals, and handoffs that move fast while staying accountable.

Assumed Infrastructure

Compliance + reporting

EEO/OFCCP hygiene, audit trails, and reporting surfaces that teams can trust.

Assumed Infrastructure

The System Behind the Tools

Tools are the interface. The system is the operating model.

Shared signals, decision logic, guardrails, and escalation paths run across every tool so decisions remain consistent.

Articles

What's Your Interviewer Style?

Uncovering the hidden variability in hiring decisions.

Why MIT Says 95% of AI Pilots Fail

And what the successful 5% do differently.

Case Studies

When Screening Failure Cost $25K+

Solving Bias, False Negatives & Lost Revenue in High Volume Recruiting.

Hiring & Mobility Explore the Tool →

Preventing KPI Misses

Preventing bottlenecks and saving 8+ recruiter hours per week.

Hiring & Mobility Explore the Tool →

Preventing 500 Stalled Candidates per Quarter

How throughput modeling aligned KPIs with capacity.

Improvement & Strategy Explore the Tool →

Let's Connect

Open to roles in People Analytics, Talent Intelligence, People Ops, and Recruiting Operations — especially teams building internal AI capabilities.