The problem this solves
AI adoption outruns oversight fast. Teams sign up for tools with company data in the prompt, an agent built last quarter processes personal data nobody mapped, and when a customer or auditor asks how AI decisions are made, the answer lives in one engineer's head. The risk is not hypothetical: GDPR already applies to most AI data processing, the EU AI Act adds obligations on a schedule, and retrofitting governance after an incident costs far more than maintaining it.
How we work
Governance only works as an ongoing function, so this runs as a monthly rhythm rather than a binder that goes stale. The recurring core: keeping the AI use case and tool register current, reviewing new tools and use cases against your policy before they go live, and checking that actual data flows still match what the documentation claims.
Each quarter we go deeper on one area, such as vendor and model changes, access rights, retention, or human oversight points, so the whole surface gets audited over the year without a disruptive annual exercise. When regulation moves, we translate it into concrete to-dos for your stack instead of forwarding legal newsletters.
We are consultants, not a law firm: we build and operate the governance system and prepare the documentation, and where a formal legal opinion is needed we work alongside your counsel rather than around them.
Deliverables
- Maintained AI use case and tool register
- New use case and vendor review process, operated monthly
- Data flow documentation and DPIA support kept current
- Quarterly deep-dive audits with findings and fixes
- Regulation watch translated into concrete actions for your stack
What buyers ask before scoping.
Do we need this if we only use HubSpot's built-in AI?
A lighter version, yes. Breeze features process personal data from your CRM, so GDPR mapping, oversight points, and vendor documentation still apply. The register is smaller but it should exist, and we size the retainer to your actual AI surface rather than a template. As usage grows, the governance grows with it instead of starting from zero.
How does this relate to the AI Governance & Risk Assessment?
The assessment is a point-in-time project: it maps your AI usage, gaps, and risks once. This retainer is what keeps that picture true afterwards, because tools, models, and teams change monthly. Running the assessment first is the most common entry path; its findings become the first cycles of this retainer.
Are you giving us legal advice?
No. We provide operational governance: registers, reviews, audits, and documentation prepared to a standard your lawyers can work with. Where a formal legal opinion is required, for example on a high-risk classification under the EU AI Act, we prepare the groundwork and work alongside your counsel.
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