Inventory
Record systems, owners, purposes, data and suppliers.
Practical AI governance servicesMAKE AI USE
MAKE AI USE
VISIBLE AND OWNED.
Blanche helps Irish businesses establish a proportionate AI governance system that shows what AI is used, where risk sits and who is responsible.
01AI inventory02Clear ownership03Human oversight04Supplier and incident controls
What is AI governance for a business?
AI governance is the set of roles, records, policies and controls used to approve AI, manage risk, oversee important outputs, handle incidents and show how decisions are made.
01 / Visibility
Give governance somewhere to live.
An AI inventory records the systems and tools used across the organisation, including AI features embedded in existing software. It connects each use to a purpose, owner, supplier, user group, data set and decision context.
That record lets management distinguish approved use from shadow AI, identify duplication and focus review on systems with greater influence or sensitivity.
02 / Control
Set rules that people can apply.
Governance should explain who may approve an AI tool, what information can be entered, when supplier review is required and when an output needs human verification. Important decisions should have a named reviewer with enough competence and authority to disagree with the system.
A short, enforced rule is more useful than a long policy that employees cannot connect to their work.
- Acceptable and prohibited uses
- Data-handling and confidentiality rules
- Human review and escalation triggers
- Supplier and change-management checks
- Incident reporting and record retention
03 / Operating model
Keep the system proportionate.
Most SMEs do not need a large AI committee. They do need a clear owner, a practical approval route and a regular way to review changes in tools, suppliers and use cases.
Blanche designs the operating model around existing management, privacy, security, HR or quality structures so that AI governance becomes part of normal business control.
Clear sequence. Clear ownership.
Screen
Prioritise higher-impact or uncertain uses.
Control
Implement rules, oversight, escalation and evidence.
Review
Reassess material changes and new AI use.
Common questions
Useful answers before you start.
01Do SMEs need an AI governance committee?+
Not necessarily. A proportionate model may use one accountable owner with input from HR, privacy, security, quality or legal functions when relevant.
02What belongs in an AI inventory?+
At minimum: the tool or system, supplier, purpose, users, owner, data, affected people, decision influence, approval status and review date.
03How is AI governance different from an AI policy?+
A policy sets rules. Governance also assigns ownership, records systems, assesses risk, oversees decisions, reviews suppliers and manages incidents and change.
04Can Blanche build on our existing GDPR or security controls?+
Yes. Existing privacy, information security, procurement, HR and quality processes are often the best place to integrate proportionate AI controls.
Need practical rules for staff AI use?
Ready when you are
Ready to put this in place?
Tell us briefly how your organisation uses AI. We will review the context and confirm the most useful next step before discussing scope.
No assessment or estimate is required before you enquire.