Use case
Informed by Microsoft CAF AI strategy
What the workflow is for, who keeps the decision, and how value would be recognised.
A stated decision boundary is not evidence that the boundary is enforced anywhere.
Know if your AI workflow can survive production.
Answer 18 controls across 6 dimensions. The result is a self-assessment, not an audit or a certificate.
- No login or card
- Scored in your browser
- Unknown is a valid answer
Deployment control room
Honest unknowns improve the result.
Choose the answer you can evidence today. A missing owner, policy, test, or incident path should appear in the plan, not disappear behind a generous score.
Diagnostic · model 2026-07-02
18 controls in. One verdict out.
Each control is a real deployment question: who owns the workflow, where the data lives, what the AI may do, what gets logged, what happens when it fails. Every answer is taken at face value. Nothing here opens your tenant, your code or your data, so the result is worth exactly what the answers are, and Unknown is a valid answer.
A readiness verdict
One of four bands, from "unsafe to deploy" to "production-ready for a bounded use case".
A risk register
Every risk signal your answers raise, ranked critical, high or medium, with the reason.
A 90-day action plan
A fixed 30/60/90 sequence with your first evidence gap and your first safe use case written into it.
A PDF brief
The verdict, both registers and the plan, in six sections you can forward internally.
Free · no login · scored in your browser
6 dimensions, 3 controls each
Use case
Workflow clarity, decision rights, value hypothesis
Data
Sources, permissions, sensitivity, retention
Governance
Owner, policy, oversight, assessment trigger
Security
Prompt, tool, supplier, and model risk controls
Architecture
Identity, integration, logging, environments
Operations
Evaluation, incidents, training, rollout ownership
The controls were written against public framework material: NIST AI Risk Management Framework, NIST AI 600-1 Generative AI Profile, ISO/IEC 42001:2023, EU AI Act overview, OWASP Top 10 for LLM Applications, Microsoft Cloud Adoption Framework for AI. No control cites a clause, so read that as the shelf the questions came from, not a mapping.
Control surface
6 dimensions. 3 controls in each.
The scan is organised around operating decisions: what the workflow may do, which data it can reach, who owns it, how it is tested, and what happens when it fails. Each dimension states what you tell it and what that telling does not prove.
Data
Informed by NIST Map and ISO 42001
Which sources the workflow reaches, how permissions carry, and what sensitivity applies.
Nothing here opens a tenant or a data store. The inventory is the one you describe.
Governance
Informed by EU AI Act and ISO 42001
Whether an owner, a written policy, an oversight step and an assessment trigger exist.
Saying a policy exists is not the policy. Neither the document nor its adoption is read.
Security
Informed by OWASP LLM Top 10
Which prompt, tool, supplier and model controls you believe are in place today.
No control is exercised. This is not a penetration test or a supplier assessment.
Architecture
Informed by Microsoft CAF and NIST Measure
How identity, integration, logging and environment separation are arranged.
No log or endpoint is read. A described architecture can differ from the deployed one.
Operations
Informed by NIST Manage and ISO 42001
Whether evaluation sets, incident paths, user training and rollout ownership exist.
An incident path nobody has ever run scores exactly like one that has been rehearsed.
Evidence model
Readiness, risk, and certainty stay separate.
A team can understand its gaps without being ready to deploy. It can also have a technically strong prototype with unacceptable use-case risk. The markers beside each step are the same key the other diagnostics use, so read what is missing from this one: no step is marked observed, because the scan reads your answers and never your systems.
This self-assessment is informed by public framework material and scores what you declare. It verifies nothing, and it is not a legal opinion, compliance audit, conformity assessment, certification, or substitute for testing the target environment.
Score the 18 declared controls
Each answer contributes to its dimension, to risk signals, to certainty, and to any hard blockers, which can hold the verdict at unsafe even when other controls score well. Every control is answered before a result renders.
Keep every unknown unknown
Unknown is an option on all 18 controls, and it is an answer rather than a hole in the model. It scores zero, it counts as zero certainty, it carries that control's worst risk, and it lands in the evidence register instead of quietly taking a favourable default.
Build the risk and evidence registers
The result lists why each material risk was raised and which documents, tests, owners, or technical evidence you said were missing. The list is capped, and the result says so when it truncates.
Choose a bounded first use case
The recommended starting shape reduces decision authority, data exposure, and integration scope. It remains a planning recommendation until something verifies it.
FAQ
What the verdict can and cannot prove
How many questions is it?
18 controls across 6 dimensions, 3 in each. Every control offers Unknown, which scores zero and becomes an evidence gap instead of a favourable default.
Does the scan inspect anything itself?
No. Every input is an answer you select. Nothing connects to your tenant, repository, code, logs, or data, and no answer is verified. That is why the output is a self-assessment and why the result is worth exactly what your answers are worth.
What is included in the result?
A readiness verdict, readiness and risk scores, self-reported certainty, a six-axis view, a risk register, an evidence-gap list, a first safe use case, a 30/60/90-day plan, and a PDF brief in six sections.
Is this a compliance audit or certification?
No. It is a structured self-assessment informed by public frameworks. It does not establish legal compliance, certify an AI management system, or replace a technical and legal review.
What happens to my answers?
Scoring runs in your browser. A result is submitted only when you intentionally provide a work email for follow-up or report delivery.
ITSailor field library
Turn the gaps into working material.
Use the free packs for agent guardrails, governance decisions, operational evidence, and workflow engineering. Every available free resource remains browsable below.
26 free resources in the verified catalog. Reviewed 2026-07-18.
Downloadable pack
ITSailor Agent Library
Twelve model-neutral system prompts for IT operations and security workflows.
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Browse the complete free library (26)
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Discovery, architecture, security baseline, policy and operating-review templates for Azure platform planning.
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6 working templates · renewal calendar · audit and reclaim procedures
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7 working templates · cutover gates · rollback procedure
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2 read-only Graph scripts · 1 KQL query · permissions guide
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38 source-linked checks · permission audit · gap analysis
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Operational templates for triage, device isolation, email purge, identity compromise and detection review.
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4 neutral templates · ownership map · handover and supplier-exit checks
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Two sanitised n8n workflow exports, a broken-flow triage runbook and the operating notes needed to adapt them safely.
2 sanitised n8n exports · triage runbook · operating notes
Diagnostics
Interactive tool
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Get an AI deployment verdict, risk register, and 90-day plan from what you declare.
18 declared controls · risk register · unknowns stay unknown
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Model one workflow from your own operating numbers and see the range it produces.
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Read your own Azure cost export without it leaving your browser.
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Inspect one GitHub repository across five evidence families.
5 evidence families · unreadable controls stay unknown · token not stored
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Ensure your emails hit the inbox, not the spam folder.
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Check whether the add-on you are about to buy is already in the plan you hold.
15 add-ons · every verdict sourced to Microsoft · unsettled pairs stay unsettled
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Review your Microsoft 365 security posture across 38 risk-weighted controls.
38 checks · 6 categories · source-linked assessment
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Identify access leaks and data risks for departing users.
Risk profile · gap matrix · remediation timeline
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Find every SaaS you run - and pay for - across users, spend, and SSO.
Three scan paths · browser-local CSV processing