See How Your Team Actually Uses AI
A behavioral assessment that reveals what training completions and usage dashboards can't: how your people collaborate with AI, and where the risk is.
Now scheduling engagements
Training ≠ Capability
Completion rates don't predict real-world effectiveness
Usage ≠ Quality
Dashboards show activity, not collaboration effectiveness
Self-Assessment ≠ Behavior
What people say doesn't match what they do
The Confidence Gap
Every team we assess shows the same pattern: people significantly overestimate their ability to catch AI errors.
What participants believed they would catch
What PAICE actually measured during the assessment
34-point confidence gap
This cohort believed they'd catch 78% of AI errors. They caught 44%. That 34-point gap is where organizational AI risk lives, invisible to training records, usage dashboards, and self-assessments.
Dimensional Profile
Your report breaks performance into five behavioral dimensions, revealing where your team is strong and where risk concentrates.
Accountability is consistently the lowest-scoring dimension. Teams communicate well with AI but rarely verify its output.
Sample cohort data, illustrative of typical assessment findings
How It Works
Distribute
We generate a unique assessment link for your cohort. You distribute it to participants. No accounts, no logins, no system integrations.
5 minutes of your time
Assess
Participants complete a 25-minute conversational assessment. It feels like a natural AI work session, not a test. PAICE observes real collaboration behaviors, including how they handle AI errors.
25 minutes per participant
Baseline
Your leadership receives a governance-ready cohort report and a readout call covering capability patterns, risk areas, and the confidence gap.
Report + 30-min readout
Baseline: Team
For team leads · 12–20 people
Flat fee · 2-week engagement
Baseline
For department heads · 21–50 people
Flat fee · 4-week engagement
Baseline: Enterprise
For HR / People Ops VPs · 51–100 people
Flat fee
Built for Regulated Industries
Where professionals are individually licensed, personally liable, and AI governance isn't optional.
Privacy by Architecture
PAICE doesn't collect personal data because it doesn't need to. No names, no emails, no IP addresses, no system integrations.
Individuals get:
Their own score and development insights, visible only to them
Organizations get:
Cohort-level patterns and distributions. No individual identification possible
Compliance-aligned:
GDPR, NIST AI RMF, ISO/IEC 42001, SOC 2 principles
Book a 15-Minute Conversation
We'll discuss your team, your timeline, and whether a baseline makes sense.