AI Practitioner Diagnostic
You are making AI deployment decisions every day. The question is whether you have the judgment those decisions require.
Most AI deployment failures are not model failures. They are moments when a capable, well-intentioned person under pressure, with incomplete information made a decision without the specific reasoning that decision required. That person was not careless. They were not incompetent. They simply had not been shown where their reasoning had a gap. SAGU shows you.
15 minutes · No preparation required · Results delivered immediately · Your name and email are used only to deliver your report and are never stored in our database. Only anonymised results are retained for research.
Four dimensions
Do you know where your gaps are?
SAGU measures your reasoning across the four dimensions where practitioner judgment gaps most commonly produce AI deployment failures. Each one asks a question most practitioners cannot easily answer yes to.
Safety
Can you tell the difference between a model that performs well in testing and one that is actually ready for deployment? Most practitioners cannot — until something goes wrong.
Alignment
Is the AI system you are responsible for actually serving the people it is supposed to serve? Or is it optimising for a metric that only looks like the right thing?
Guardrail
When the AI system you oversee behaves unexpectedly, do you have a clear path for what happens next? Or would the answer depend on who happens to be in the room?
Usability
Do you know what the AI tools you use every day cannot do? Not in theory. In the moment. Under pressure. When it matters.
What SAGU is
SAGU is not a test you pass or fail.
It is a diagnostic designed to show you precisely where your reasoning is strong and where a gap exists that you could not have known was there.
The practitioners who take it are not the ones who think they have something to prove. They are the ones who take their responsibility seriously enough to find out.
Your practitioner profile
One of ten archetypes, each with a precise description of your reasoning pattern, your strengths, and the blind spots most likely to matter in your role.
Your operational risk signal
The risk category most elevated given your profile and your role — named clearly, not buried in a score. Before it becomes an incident.
Your development pathway
Targeted next steps matched to your lowest dimension. Not generic reading lists — guidance specific to your profile and what your role requires.
Your results are yours. They are not shared with your employer without your knowledge. They arrive immediately.
Why now
The organisations deploying AI responsibly right now are not the ones with the most sophisticated models.
They are the ones whose people knew — before the incident, before the regulatory investigation, before the board had to answer the question — whether their AI deployment decisions were being made with the right judgment.
The EU AI Act's practitioner competence requirements come into full enforcement in August 2026. The Nigeria Data Protection Act's accountability obligations are already in force. The cost of finding out you have a gap after an incident is orders of magnitude higher than the cost of finding out now.
Fifteen minutes. That is what it costs to know.
15 minutes · No preparation required · Results immediately · Individual responses never shared with your organisation
For CTOs, CAIOs & Governance Leaders
Your team is making AI deployment decisions every day.
The question boards, regulators, and audit committees are now asking
is not whether your AI systems are technically sound.
It is whether the people responsible for those systems have the
judgment to deploy them responsibly.
Most organisations cannot answer that question with evidence.
SAGU changes that.
What SAGU produces
Four answers to the questions leadership is already asking.
The question your board is asking:
"How do we know our AI deployment team is equipped to make these decisions responsibly?"
SAGU's answer
A governance maturity assessment — not a claim, not a training completion record, but a structured diagnostic of how your practitioners actually reason through the conditions of real AI deployment.
The question your regulator is asking:
"Can you demonstrate that the people responsible for AI oversight have the necessary competence?"
SAGU's answer
A compliance evidence pack formatted for EU AI Act Article 26, ISO 42001 Clause 7.2, and NDPA accountability obligations.
The question your risk function is asking:
"Where is our AI deployment practice most exposed?"
SAGU's answer
An operational risk profile — four risk categories, each mapped to a specific dimension of practitioner reasoning, each with a named exposure level and a targeted intervention.
The question your L&D function is asking:
"Where should we invest the development budget?"
SAGU's answer
A gap analysis by role segment, showing exactly which teams have which gaps, and what targeted development will close them.
The maturity journey
Most organisations deploying AI right now are at Level 2 — Opportunistic.
Some practitioners are excellent. Some have significant gaps.
The difference between a good deployment and a damaging one depends
on which practitioner happened to be making the decision that day.
That is not governance. That is luck.
SAGU gives you a path from luck to system.
Significant unmanaged operational risk. AI deployment depends entirely on individual judgment with no organisational standard.
Inconsistent risk management. Some strong practitioners, significant gaps elsewhere. Outcomes depend on who was involved.
Risk is being managed. Organisational standards are taking hold. Targeted development will close remaining exposure.
Strong evidence of responsible AI governance capability. Defensible for regulatory and audit purposes.
What a pilot looks like
Concrete. Low-friction. Results within 48 hours.
20 to 50 practitioners · 15 minutes each · No preparation required.
Within 48 hours of your cohort completing:
- A capability map showing dimension scores by role
- Your organisation's governance maturity band
- An operational risk profile across all four categories
- A gap analysis with targeted intervention recommendations
- A compliance evidence pack ready for regulatory review
Individual practitioner results are confidential. Your organisation receives aggregate data only.
Methodology & credibility
Built on the same format used to select doctors, civil servants, and military officers.
SAGU uses situational judgment test methodology — applied to the specific scenarios
that responsible AI deployment creates: time pressure, incomplete information,
commercial incentives.
Rather than testing what practitioners know about AI, it tests how they
reason under the conditions that deployment actually creates.
Built on documented AI incident evidence. Reviewed by subject matter experts.
Ready to map your team's AI governance capability?
Start with a conversation. No commitment required.
Ednov8 AI · AI SAGU · hello@ednov8ai.com
Tell us about yourself
Your details are used strictly to personalize your profile diagnostic report and send you a secure digital copy.
The Diagnostic Setup
How to answer SAGU scenarios
The scenarios ahead simulate typical engineering and operational contexts. They represent real constraints, short deadlines, and competing team pressures.
There are no trick questions. However, multiple options may sound reasonable or "defensible." Your task is to select the specific action or interpretation that reflects your genuine professional judgment in that exact situation.
The diagnostic tracks your baseline reasoning choices across Safety, Alignment, Guardrail, and Usability parameters automatically.
Safety
This section focuses on how you recognize risk, respond to uncertainty, and think about harm in real-world AI use.
Overall Assessment Judgment Score
An aggregate look at balanced multi-dimensional reasoning. High individual scores suggest standard maturity across technical and socio-technical dimensions.