Baseline coverage
15%Percent of assigned learners who complete a role-specific baseline before training.
// individual, team, department, and org readiness evidence
$ benchmark --ai_readiness="org"
AIducation benchmarks every role academy against coverage, lift, verification, policy safety, workflow evidence, and manager actionability. Leaders can see who is ready, which teams are risky, and where AI adoption is creating value.
Org readiness model
15
Role benchmarks
6
Dimensions
77
Avg target
75
Evidence artifacts
[+] AIducation for Support is still the first wedge, with benchmarks reused across 15 academies.
// Score_dimensions
The benchmark is not a generic completion score. It measures the habits that determine whether AI work is useful, safe, and ready for the role.
Exit lift
20%Improvement between baseline and final scenario or workflow assessment.
Verification discipline
20%Ability to check facts, calculations, source quality, code paths, policies, and assumptions before using AI output.
Policy safety
20%Handling of privacy, confidential data, compliance boundaries, escalation authority, and approved tool usage.
Workflow evidence
15%Completed missions, simulations, tool labs, playbooks, and take-back-to-work artifacts tied to real tasks.
Manager actionability
10%Whether team reports produce concrete coaching priorities, benchmark gaps, and readiness decisions.
// Department_benchmarks
Every vertical has a target score, coverage threshold, risk level, priority workflows, ROI signals, and manager action loop.
AIducation for Support
Support
78
target
85%
baseline
72%
exit
- [+] Billing escalations and refunds
- [+] Account verification and sensitive-data handling
AIducation for Sales
Sales
76
target
85%
baseline
72%
exit
- [+] Prospect research and account briefs
- [+] Cold outreach and personalization
AIducation for Marketing
Marketing
72
target
78%
baseline
65%
exit
- [+] Product launch copy
- [+] Campaign brief generation
AIducation for HR
HR
82
target
90%
baseline
80%
exit
- [+] Policy drafting and explanation
- [+] Recruiting and candidate screening support
AIducation for Finance
Finance
82
target
90%
baseline
80%
exit
- [+] Expense review and policy checks
- [+] Variance analysis commentary
AIducation for Engineering
Engineering
76
target
85%
baseline
72%
exit
- [+] AI-assisted code review
- [+] Debugging and root cause analysis
AIducation for Product Managers
Product
76
target
85%
baseline
72%
exit
- [+] PRD review and requirement tightening
- [+] Research synthesis
AIducation for Executives
Executives
82
target
90%
baseline
80%
exit
- [+] AI strategy and governance
- [+] Department rollout planning
AIducation for Operations
Operations
76
target
85%
baseline
72%
exit
- [+] SOP generation and review
- [+] Workflow automation planning
// Enterprise_operating_views
The same evidence supports manager coaching, org-wide risk review, benchmark reporting, compliance exports, and productivity ROI.
Department benchmarks
Compare support, sales, marketing, HR, finance, engineering, product, legal, and other academies with role-specific targets.
Adoption risk
Flag teams where tool usage, policy safety, verification habits, or manager visibility are out of balance.
Productivity ROI
Connect training evidence to workflow time saved, rework reduction, approved playbook adoption, and coaching cycle speed.
Compliance evidence
Keep baseline, exit, credential, and manager-report artifacts ready for LMS, HRIS, audit, and enterprise reporting.
// High_risk_roles
Regulated, sensitive, or high-judgment roles get higher benchmark targets and stricter coverage expectations before AI use expands.
0-59Not ready
Needs guided practice before live AI workflows.
60-74Supervised
Can use AI with manager review and narrowed workflows.
75-84Ready
Ready for approved role workflows with normal controls.
85-100Advanced
Can coach peers and improve team playbooks.
AIducation for HR
82[!] AI assistance introduces bias or mishandles sensitive employee context
[!] Policy answers sound confident without authority or escalation
AIducation for Finance
82[!] AI-assisted analysis ships with unchecked calculations or assumptions
[!] Variance commentary blurs signal, caveat, and speculation
AIducation for Executives
82[!] Learners use AI output without a verification step
[!] Managers cannot see which skills are ready for live work
AIducation for Government
82[!] Learners use AI output without a verification step
[!] Managers cannot see which skills are ready for live work
AIducation for Healthcare Admin
82[!] Learners use AI output without a verification step
[!] Managers cannot see which skills are ready for live work
AIducation for Legal Teams
82[!] Contract review summaries overstate certainty or miss risk boundaries
[!] Research outputs lack citations and jurisdiction context
Individual readiness
Learners get baseline scores, daily missions, simulations, credentials, and a portfolio of completed AI workflows.
Team readiness
Managers see coverage gaps, weak skill atoms, coaching priorities, leaderboard signals, and exportable reports.
Org readiness
Executives get a capability map by department, risk level, policy understanding, evidence coverage, and ROI signal.
Benchmarks turn AI training into operating evidence.
Start with Support, then compare every department against the same platform model: skills, scenarios, rubrics, missions, credentials, manager reports, and org readiness dashboards.