AI Guidance Academy
A modular training and governance program for regulated financial organizations. Each track leads to a decision-ready outcome.
Executive track
Board-ready understanding of AI risk, governance, and approval decisions.
Risk & Compliance track
Controls, EU AI Act alignment, data leakage, and audit evidence.
Engineering leadership track
Senior developer operating model, delivery risks, and safe tooling.
Business line track
Department-by-department guidance with examples and red lines.
Academy outcomes
- Approved AI use-case list and risk zones
- Prompt safety rules and governance artifacts
- Role-based understanding of allowed vs prohibited usage
- Audit-ready evidence of controls and decisions
Interactive learning tools
Test your knowledge, practice prompt safety, and get personalized recommendations.
Governance Quiz
Test your AI governance knowledge with 15 scenario-based questions covering risk, controls, deployment, and compliance.
Prompt Challenge Lab
Practice identifying safe vs unsafe prompts and learn best practices for secure AI interactions.
Role Assessment
Take role-specific assessments for Compliance, Engineering, Executive, or Audit professionals with personalized recommendations.
Implementation plan
A four-phase rollout that converts learning into governed execution.
Foundation
Open phase plan
Phase 2Role-Based Academy
Open phase plan
Phase 3Policy & Evidence Engine
Open phase plan
Phase 4Enterprise Rollout
Open phase plan
Phase 1 — Foundation (0–6 weeks)
- Curriculum v1: 6 learning paths (exec, risk, engineering, audit, data leak, EU AI Act)
- Decision flow v1: Start‑Here wizard + zone outputs + controls checklist
- Use‑case library v1: 20–30 use cases with risk ratings and deployment guidance
- Governance pack v1: policy templates + acceptable use matrix + vendor questionnaire
- Assessment: short quiz per path + completion certificates (PDF/HTML)
Phase 2 — Role‑Based Academy (6–12 weeks)
- Tracks: Exec, Risk/Compliance, Engineering, Audit/Assurance, Advisory/Tax
- Role scenarios: “what to approve” + “what to block” + evidence examples
- Rubrics: approval checklist and red‑flags per role
- Live evaluation: scenario-based prompts; learners classify and defend decisions
- Metrics: time‑to‑approval, reduction in unsafe prompts, adoption rate per team
Phase 3 — Policy & Evidence Engine (12–20 weeks)
- Policy builder: guided generator for AI Use Policy + Prompt Safety Rules
- Audit evidence trail: store decisions, prompt templates, and approvals
- Vendor registry: central vendor risk records per model/tool
- Controls mapping: align controls to EU AI Act, internal risk framework, and ISO/NIST
Phase 4 — Enterprise Rollout (20+ weeks)
- Certification: internal “AI Approved Practitioner” badge
- Regulatory readiness: exportable audit packs by business line
- Continuous updates: quarterly refresh of policy, examples, and tool guidance
- Benchmarking: compare adoption and risk posture across business lines
Governance model
- Owner: Risk/Compliance (policy + approvals)
- Operators: Engineering leadership (controls + enforcement)
- Advisors: Legal + Data Protection + Audit
Success metrics
- Approval time per use‑case
- % staff trained by business line
- % prompts compliant with policy
- Reduction in sensitive data leakage incidents
- Audit readiness score per department