The certification

Prove what you can do, not what you memorized.

This certification is competency-based, not quiz-based. Nobody cares whether you can define a token. Employers care whether you can walk into a business and make AI useful. So that is the exam.

The final challenge

"You joined this company Monday morning. You have 4 hours. Find the biggest problems and use AI to create measurable value."

You receive access to Harborline Logistics — a fictional regional freight forwarding company with 42 employees. Inside: emails, meeting notes, SOPs, customer complaints, sales data, spreadsheets, management requests, and operational problems. The mess is intentional. Deciding what matters is the exam.

03:42:16 remaining

Your simulated workspace

Company Brief
Inbox
Documents
Meetings
Customers
Sales
Operations
Tasks
Submission

No step-by-step guidance. No hints. You submit findings, recommendations, deliverables, a workflow improvement, an automation proposal, and an executive summary.

What you must demonstrate

Ten behaviors. All observable. All scored.

Reviewers score what you produced and how you produced it — including the prompts, workflows, and verification steps you submit alongside your deliverables.

  • Identify the important problems hidden in messy information
  • Prioritize opportunities by business impact
  • Select the appropriate AI tools for each job
  • Research and verify missing information
  • Produce usable deliverables, not drafts
  • Verify AI-generated information before relying on it
  • Improve at least one existing workflow
  • Automate at least one process
  • Document the solution so others can run it
  • Present recommendations to management
The scoring rubric

Scored 0–100, weighted toward business impact.

Human reviewers score every simulation. AI may assist with feedback in the future — it will never certify anyone on its own.

Business Impact

Did the work produce measurable value for the company?

30%
AI Execution

Were the right tools used well, with effective prompts and workflows?

20%
Problem Solving

Were the real problems found, framed, and prioritized correctly?

15%
Accuracy & Judgment

Was AI output verified? Were bad outputs caught and rejected?

15%
Automation & Process Improvement

Did the candidate leave a process better than they found it?

10%
Communication

Were findings and recommendations clear to a busy executive?

10%
Certification thresholds

Four outcomes, one honest signal.

Below 70

Not Yet Certified

Targeted feedback and a retake path — never a dead end.

70 – 79

AI-Native Associate

Reliable on guided AI work across everyday business tasks.

80 – 89

AI-Native Certified

Independently turns company context into measurable value.

90 – 100

AI-Native Advanced

Redesigns workflows and raises the bar for the whole team.