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.
Architect-led · NIST AI RMF and ISO/IEC 42001 aligned
AI governance consulting for teams putting AI to work, with clear rules, named owners and evidence an auditor accepts.
We set up your AI policy, risk tiers, approval path, human oversight and training, then build those controls into your agents and workflows, so governance ships with the product.
See the framework
- 15+Years of team experience
- 20+Enterprise implementations
- 60 minFree AI governance review, with a written plan
- 5.0/5Client satisfaction (CSAT)
Proven Success With
5.0/5 CSAT
New to AI governance?
What is AI governance?
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.
Risk tiers
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.
- Prohibited
ExamplesSocial scoring, manipulation that exploits vulnerable people.
ControlsNot built. Stopped at intake.
- High risk
ExamplesHiring decisions, credit scoring, access to essential services.
ControlsImpact assessment, human decision, logging, testing before release.
- Limited risk
ExamplesCustomer chat assistants, generated text and images.
ControlsPeople told they are dealing with AI; content labeled.
- Minimal risk
ExamplesSummarizing internal documents, drafting, spam filtering.
ControlsListed in the inventory; standard IT controls.
What we do
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.
Decision rights
Who decides what
One accountable owner per decision, so no AI use falls between teams.
01Approve a new AI use case
AccountableAI councilDoes the workBusiness ownerArchitectureconsultedRisk and legalconsultedSecurityconsulted
02Set the risk tier
AccountableRisk and legalDoes the workArchitectureBusiness ownerconsultedSecurityconsultedAI councilinformed
03Choose the model and vendor
AccountableArchitectureDoes the workSecurityBusiness ownerconsultedRisk and legalconsultedAI councilinformed
04Approve release to production
AccountableAI councilDoes the workBusiness ownerArchitectureconsultedRisk and legalconsultedSecurityconsulted
05Handle an AI incident
AccountableSecurityDoes the workBusiness ownerArchitectureconsultedRisk and legalconsultedAI councilinformed
06Pause or retire a use case
AccountableAI councilDoes the workBusiness ownerArchitectureconsultedRisk and legalconsultedSecurityinformed
Controls and evidence
From policy to proof
Each policy line is enforced by a control and leaves evidence behind.
The policy says: No customer data goes to a model without approval
The control that enforces it: Data class checked at intake; only approved models reachable
The evidence an auditor reads: Intake record and approved model register
The policy says: High-risk uses end in a human decision
The control that enforces it: Approval step built into the workflow
The evidence an auditor reads: Approval log with who, what and when
The policy says: People know when they deal with AI
The control that enforces it: Disclosure text in chats and generated messages
The evidence an auditor reads: Release checklist with screenshots
The policy says: AI is tested before it is released
The control that enforces it: Real cases replayed on every change
The evidence an auditor reads: Test report kept per release
The policy says: Incidents are reported and reviewed
The control that enforces it: Monitoring alerts go to a named owner
The evidence an auditor reads: Incident log and review notes
Frameworks
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 RMFNIST, United States | ISO/IEC 42001ISO and IEC | EU AI ActRegulation (EU) 2024/1689, as amended |
|---|---|---|---|
| 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.
Use-case intake
How a new AI use case gets approved
A short path for low-risk ideas, a fuller one for high-risk uses.
Fast lane for low-risk uses
- 01
Request
Anyone proposes a use case.
- Business problem and owner
- Data it needs
- Who it affects
- 02
Triage
Architecture and risk take a first look.
- Risk tier set
- Build, buy or reuse
- Duplicate of a tool we have?
- 03
Assess
Higher tiers only.
- Impact assessment
- Model and vendor review
- Security review
- 04
Approve
The accountable owner decides.
- Approve, add conditions or decline
- Conditions written down
- 05
Run
Live, monitored and reviewed.
- Logging and monitoring on
- Review date set
- Listed in the inventory
Training and AI literacy
Training for every role that touches AI
Short, role-based courses, so the policy is understood where the decisions are made.
- Executives and board
AI risk for decision makers
- What the policy commits you to
- Risk tiers and who approves what
- Questions to ask before funding a use case
- All staff
Using AI safely at work
- Data that never goes into a public tool
- Checking AI output before you use it
- Where to ask and how to report a problem
- Builders
Building governed AI
- Approval steps and logging
- Testing with real cases
- Prompt and data security
- Risk and audit
Auditing AI systems
- Reading the evidence pack
- Sampling decisions for review
- Mapping to NIST AI RMF and ISO/IEC 42001
Cost and timing
What it costs and how long it takes
The review is free
A 60-minute architecture review of your AI governance setup, with a written plan you keep.
A fixed-scope proposal first
Before any work starts you get a written proposal: a fixed-scope project with milestones, or a monthly plan. You approve it, or you do not.
Timing follows scope
How long it takes depends on what is in scope. The proposal states the milestones, so you see the timeline before you commit.
Client stories
Client work we have delivered
Real engagements, described by industry. Each story covers the starting position, what we built and how we delivered it, end to end.
Healthcare & Life SciencesLive Call Transcription That Drafts a 16-Field Emergency Form While the Operator ListensProduction AI for an emergency medical consultation line in Japan: live Japanese transcription with speaker separation, a 16-field form drafted during the call, operator review, end-of-call summaries and regional vocabulary engineering.Custom AI · Speech-to-text · Speaker separation · Large language modelsRead the story 
Consumer Goods & RetailGoverned Agentforce From Sandbox to Production for a Consumer Products BrandAgentforce for an Australian consumer products brand: agent configuration and testing, AI actions on business records, permission design, sandbox fixes and a controlled production deployment.Agentforce · Einstein · Salesforce Platform · Permission SetsRead the story 
Financial ServicesAI Deal Matching That Screens Companies Against Every Investor MandateSales Cloud, Agentforce, Data 360 and Prompt Builder for a US private equity advisory firm: mandates, AI first-pass ranking, deep scoring with rationale, and deals created from approved matches.Sales Cloud · Agentforce · Data 360 · Prompt BuilderRead the story Client reviews
What clients say about working with our architects
See how teams describe working with SynconAI, from first scope to production delivery.
Salesforce Select Partner30+ Salesforce certificationsDelivery from Delaware & Sydney, worldwide
Simply Outstanding
“SynconAI Consulting are Simply the Best in the Business When it comes to Salesforce implementation and AI-powered solutions, SynconAI are in a league of their own. Their expertise, dedication, and ability to deliver results that truly move the needle sets them apart from every other consulting partner we've worked with. What they achieved with our Sales Cloud, Service Cloud, and custom Agentforce agent has completely transformed how we operate streamlining our pipelines and our customer service, and automating tasks that used to consume hours of our team's time. They don't just implement technology they transform businesses. If you want the best, you work with their team.”
Sales CloudService CloudAgentforce
Jack BennettConsumer Goods & Retail · United States
“I had a very urgent deadline for our project reporting to be delivered and needed to build the module, dashboard and output reports in Salesforce. SynconAI were very responsive - they met with me online, responded to my emails quickly and took calls - whatever was needed to progress the work quickly. We are thrilled with the outcome and will continue to work with SynconAI in the future to continue to build our Salesforce capability and platform.”
Sales CloudService CloudNonprofit Cloud
Salesforce Managed ServicesAustraliaSalesforce Verified
“The team at SynconAI were fantastic, and promptly delivered on each project. They were able to guide us through every stage and made sure we were satisfied with the outcomes on multiple scopes of work.”
Sales CloudSlackFlowAgentforceMuleSoft
ManufacturingAustraliaSalesforce Verified
“They have been great and helping us transform out business by bringing what I conceptualize to life. Great at translating process/workflow needs into a solution. Been a pleasure work with and they're a critical part of our team and will be instrumental into bringing about my vision.”
Sales CloudFinancial Services CloudArchitectureAI
Financial ServicesUnited StatesSalesforce Verified
“Working with SynconAI was a seamless and highly professional experience from start to finish. They took the time to deeply understand our business processes before designing and implementing a Salesforce solution tailored specifically to our operational needs. The team demonstrated strong technical expertise across Salesforce configuration, automation, integrations, reporting, and user experience design.”
SalesforceExperience CloudCustom DevelopmentAutomationReporting
Salesforce ImplementationSalesforce Verified
Frequently asked questions
AI governance, answered.
Straight answers about frameworks, policy, human oversight, ISO/IEC 42001 and where to start.
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.
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.
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.
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.
We decide which actions AI may take alone and which need a person, build that approval into the workflow, and log every decision.
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.
No. We design and implement governance and controls. Your legal and compliance team, or outside counsel, confirms how each regulation applies to you.
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.
The NIST AI Risk Management Framework is published by the U.S. National Institute of Standards and Technology. ISO/IEC 42001 is a standard of ISO and IEC. Agentforce and Salesforce are trademarks of Salesforce, Inc.; Claude of Anthropic; Microsoft Copilot of Microsoft; n8n of n8n GmbH. SynconAI is an independent consulting firm. Nothing on this page is legal advice.
Free architect conversation
Talk to an architect, not a sales rep.
60 seconds to brief us. A certified architect replies within one business day.
