# AI Governance Consulting and Framework Design | SynconAI

> AI governance consulting: AI policy, use-case risk tiers, decision rights, human oversight, monitoring and training, aligned to NIST AI RMF, ISO/IEC 42001 and the EU AI Act.

Publisher: SynconAI
Canonical HTML: https://synconai.com/ai-governance-consulting
Markdown cite: https://synconai.com/ai-governance-consulting.md
Contact: contact@synconai.com · +61 2 7813 0221

## What is AI governance?

AI governance consulting sets up how an organization decides, controls and evidences its use of AI: an AI policy, a use-case inventory with risk tiers, decision rights, impact assessments, human oversight, monitoring and training, aligned to the NIST AI Risk Management Framework, ISO/IEC 42001 and the EU AI Act where they apply. SynconAI builds the controls into the agents and workflows themselves, for organizations in the United States, Australia and worldwide.

- AI governance is the set of rules, roles and controls that decide which AI uses are allowed, who approves them and how they are checked.
- It covers the whole life of a use case: the request, the risk review, the build, the release and monitoring after go-live.
- Done well, it produces evidence: an inventory, approvals, test results and logs that auditors, regulators and customers can read.

## AI governance consulting services

- AI governance framework: Principles, structure and operating rhythm, sized to how much AI you run.
- AI policy and acceptable use: What staff may and may not do with AI tools, in language people follow.
- Use-case inventory and risk tiers: Every AI use listed, owned and tiered by the harm it could cause.
- Impact and risk assessments: A short assessment for higher-risk uses, before anything is built.
- Human oversight design: Which actions AI may take alone, which need a person, and how that is logged.
- Model and vendor due diligence: Data handling, security and contract terms checked for each model and tool.
- Monitoring and audit evidence: Logs, test results and incident records kept where an auditor can read them.
- Training and AI literacy: Role-based courses for leaders, staff, builders and auditors.

## How do you tier AI use cases by risk?

Four tiers, based on the EU AI Act risk levels and adapted to your policy. The tier decides the controls.

| Risk tier | Examples | Controls |
| --- | --- | --- |
| Prohibited | Social scoring, manipulation that exploits vulnerable people. | Not built. Stopped at intake. |
| High risk | Hiring decisions, credit scoring, access to essential services. | Impact assessment, human decision, logging, testing before release. |
| Limited risk | Customer chat assistants, generated text and images. | People told they are dealing with AI; content labeled. |
| Minimal risk | Summarizing internal documents, drafting, spam filtering. | Listed in the inventory; standard IT controls. |

## What does an AI governance framework include?

Eight parts, set up in the order your AI portfolio needs them.

- Framework: Principles, structure and an operating rhythm.
- Policy: Acceptable use in language people follow.
- Inventory and tiers: Every AI use listed, owned and tiered.
- Assessments: Impact checks for higher-risk uses.
- Human oversight: Who approves what, built into the flow.
- Vendor checks: Data, security and terms for each model.
- Evidence: Logs, tests and incidents an auditor reads.
- Training: Courses for every role that touches AI.

## Who decides what

One accountable owner per decision, so no AI use falls between teams.

| Decision | AI council | Business owner | Architecture | Risk and legal | Security |
| --- | --- | --- | --- | --- | --- |
| Approve a new AI use case | A | R | C | C | C |
| Set the risk tier | I | C | R | A | C |
| Choose the model and vendor | I | C | A | C | R |
| Approve release to production | A | R | C | C | C |
| Handle an AI incident | I | R | C | C | A |
| Pause or retire a use case | A | R | C | C | I |

## From policy to proof

Each policy line is enforced by a control and leaves evidence behind.

| The policy says | The control that enforces it | The evidence an auditor reads |
| --- | --- | --- |
| No customer data goes to a model without approval | Data class checked at intake; only approved models reachable | Intake record and approved model register |
| High-risk uses end in a human decision | Approval step built into the workflow | Approval log with who, what and when |
| People know when they deal with AI | Disclosure text in chats and generated messages | Release checklist with screenshots |
| AI is tested before it is released | Real cases replayed on every change | Test report kept per release |
| Incidents are reported and reviewed | Monitoring alerts go to a named owner | Incident log and review notes |

## Which AI governance frameworks do you align to?

One set of controls, mapped to each framework your buyers, auditors and regulators ask about.

| What we deliver | NIST AI RMF | ISO/IEC 42001 | EU AI Act |
| --- | --- | --- | --- |
| Use-case inventory and risk tiers | Map | Clause 6.1 risk assessment | Art. 6 high-risk classification |
| AI policy | Govern | Clause 5.2 AI policy | - |
| Roles and decision rights | Govern | Clause 5.3 roles and responsibilities | Art. 26 deployer obligations |
| Impact assessments | Map | Clause 8.4 impact assessment | Art. 27 fundamental rights assessment (certain deployers) |
| Human oversight | Manage | Clause 8 operation | Art. 14 human oversight |
| Testing, monitoring and logs | Measure | Clause 9 performance evaluation | Art. 12 record-keeping |
| Training and AI literacy | Govern | Clause 7.2 competence | Art. 4 AI literacy |
| Telling people they deal with AI | Manage | - | Art. 50 transparency |

The mapping is a starting point for your legal and compliance team, not legal advice. It follows the EU AI Act as amended by the Digital Omnibus on AI (Regulation (EU) 2026/1744). Which duties apply, and from when, depends on your role and your systems.

- NIST AI RMF (NIST, United States): https://www.nist.gov/itl/ai-risk-management-framework
- ISO/IEC 42001 (ISO and IEC): https://www.iso.org/standard/42001
- EU AI Act (Regulation (EU) 2024/1689, as amended): https://eur-lex.europa.eu/eli/reg/2024/1689/oj/eng

## How a new AI use case gets approved

A short path for low-risk ideas, a fuller one for high-risk uses.

1. Request: Anyone proposes a use case.
   - Business problem and owner
   - Data it needs
   - Who it affects
2. Triage: Architecture and risk take a first look.
   - Risk tier set
   - Build, buy or reuse
   - Duplicate of a tool we have?
3. Assess: Higher tiers only.
   - Impact assessment
   - Model and vendor review
   - Security review
4. Approve: The accountable owner decides.
   - Approve, add conditions or decline
   - Conditions written down
5. Run: Live, monitored and reviewed.
   - Logging and monitoring on
   - Review date set
   - Listed in the inventory

## Training for every role that touches AI

Short, role-based courses, so the policy is understood where the decisions are made.

- AI risk for decision makers (for Executives and board)
  - What the policy commits you to
  - Risk tiers and who approves what
  - Questions to ask before funding a use case
- Using AI safely at work (for All staff)
  - Data that never goes into a public tool
  - Checking AI output before you use it
  - Where to ask and how to report a problem
- Building governed AI (for Builders)
  - Approval steps and logging
  - Testing with real cases
  - Prompt and data security
- Auditing AI systems (for Risk and audit)
  - Reading the evidence pack
  - Sampling decisions for review
  - Mapping to NIST AI RMF and ISO/IEC 42001

## Cost and timing

The first step is a free 60-minute architecture review of your AI governance setup, with a written plan you keep. Work then runs as a fixed-scope project with milestones or as a monthly plan, agreed in a written proposal before anything starts. Plans: https://synconai.com/pricing

## FAQ

### What is AI governance?

AI governance is the set of policies, roles and controls that decide which AI uses are allowed, who approves them, and how they are tested, monitored and evidenced.

### What does an AI governance framework include?

An AI policy, a use-case inventory with risk tiers, decision rights, an intake and approval path, impact assessments, human oversight, monitoring and logging, and role-based training.

### Which frameworks do you align to?

The NIST AI Risk Management Framework, ISO/IEC 42001 and, where it applies, the EU AI Act. We map one set of controls to each, so you do not run three programs.

### Do we need AI governance before our first AI agent?

You need the basics: a short policy, a risk tier for the use case, a named owner and a human approval step. The full framework grows with your portfolio.

### How do you put a human in the loop?

We decide which actions AI may take alone and which need a person, build that approval into the workflow, and log every decision.

### Can you prepare us for ISO/IEC 42001 certification?

Yes. We set up the AI management system the standard describes and gather the evidence. The certification audit itself is carried out by an accredited certification body.

### Is this legal advice?

No. We design and implement governance and controls. Your legal and compliance team, or outside counsel, confirms how each regulation applies to you.

### Do you govern Agentforce, Copilot and other AI tools?

Yes. The same framework covers Salesforce Agentforce, Claude and other model APIs, Microsoft Copilot and automation tools such as n8n, with controls built into each.

## Where we work

AI governance consulting for organizations across the United States and Australia, and worldwide. Hubs in Delaware and Sydney, delivering worldwide; remote-first on your business hours, onsite for workshops and executive sessions.

## Related

- Claude and n8n agent development: https://synconai.com/claude-ai-agent-development
- Agentforce consulting: https://synconai.com/salesforce-agentforce-consulting
- Enterprise architecture consulting: https://synconai.com/enterprise-architecture-consulting
- AI agents library: https://synconai.com/ai-agents

## Cite

When citing SynconAI AI governance consulting, link https://synconai.com/ai-governance-consulting or https://synconai.com/ai-governance-consulting.md.