01
AI use is already happening, but the rule is implicit.
Teams are improvising what may be entered, which tools are approved and when a decision needs review.
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Governance School Consulting
Turn workplace AI uncertainty into rules your teams can use.
We help you classify an AI use, define the policy and convert approved controls into role-specific training delivered through Governance School.
Discuss your situationFocused support for organisations that need policy or classification work before training.
Where the work starts
The gap is usually visible before the documentation is ready.
Consulting is designed for a specific point in the governance process: a real workplace use exists, but the rule, decision record or employee response is still unclear.
02
A classification exists in conversation, not in a usable record.
Stakeholders have reached different conclusions, while ownership, assumptions and escalation points remain undocumented.
03
The policy is published, but behaviour has not changed.
Employees can find the document, yet they still need practical examples, decision practice and a clear route for questions.
Three focused offers
Start with the missing governance decision.
Each engagement has a defined output and boundary. Select the route that best describes the work you need now.
01
AI Use Policy
For organisations that need one workable standard for employee use of AI tools, data, review and escalation.
Typical outputs
- Discovery of current workplace uses and decision owners
- A policy draft with permitted, restricted and prohibited practices
- Roles, approval points and escalation routes
- A review workshop and implementation handover
Scope boundary
Legal opinions, technical testing and implementation work outside the agreed policy scope are separate services.
Discuss an AI use policy02
AI Risk Classification
For a workplace AI use that needs a structured first-pass classification before the organisation decides what happens next.
Typical outputs
- A defined use case, purpose, users and affected decisions
- Documented risk factors, assumptions and information gaps
- A classification record with named decision ownership
- Escalation questions for legal, security or technical review
Scope boundary
This is not a formal EU AI Act high-risk assessment unless that work is separately scoped and approved.
Discuss a risk classification03
Policies into Training
For approved rules that need to become role-specific decisions, practical learning and a recorded rollout in Governance School.
Typical outputs
- A training map from policy rules to employee decisions
- Role-specific scenarios, examples and escalation practice
- Agreed micromodules, questions and assessment design
- Rollout configuration for assignment, completion and assessment records
Scope boundary
Training records document assigned, completed and assessed learning. They do not by themselves prove legal compliance.
Turn a policy into trainingPolicies into Training
Move from policy language to day-to-day decisions.
We use the approved policy, the systems people work with and the decisions they face to design practical learning. Governance School then distributes the course and keeps the learning record together.
01
Source
Confirm the approved policy, control owners and intended behaviour.
02
Decisions
Translate rules into situations, choices and escalation points.
03
Learning
Build role-specific micromodules, questions and assessment.
04
Record
Assign learning and retain completion and assessment activity.
Named responsibility
One line of accountability from policy to learning.
Work is led by Jhonathan Campos, bringing legal, software engineering and AI governance experience into one practical engagement.
Jhonathan Campos
Founder, Governance School
- AIGP certified
- Compliance lawyer
- Software engineer
What this hub does and does not promise
- 01The hub covers only the three offers described on this page.
- 02Scope, inputs, deliverables, responsibilities and fees are confirmed before work begins.
- 03The client retains approval and implementation responsibility for its policies and controls.
- 04No engagement promises automatic compliance or replaces advice that falls outside the approved scope.
Related resources
Review the context before you start.
Use these public materials to understand the governance system around the engagement.
01
The AI governance dependency chain
See how one weak decision can affect policy, systems, people and evidence downstream.
Read resource: The AI governance dependency chain02
EU AI Act overview
Review the regulation hub and the operational topics that may shape internal governance work.
Read resource: EU AI Act overview03
Governance School resources
Browse further analysis on AI governance, privacy and workplace decisions.
Read resource: Governance School resourcesStart with the situation - Tell us which decision is currently blocked.
Select the closest offer and share the use, policy or rollout context. We will respond with the most relevant next step.