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RAASIFY.AI — SERVICE 03 / AI GOVERNANCE AS A SERVICE (AI GaaS)

AI Governance as a Service — because governance doesn't stop after go-live, and neither do we.

Right-sized, continuous support that keeps your AI Evidence Chain™ current as your systems, regulations, and business change — without hiring an internal compliance team, or re-engaging a consultant from scratch every time something shifts.

Talk About AI Governance as a Service

THE SLOW DECAY

Governance That Quietly Goes Stale.

Governance that isn't maintained doesn't stay compliant — it just stays documented, while quietly drifting out of date. New AI tools get adopted faster than anyone updates the inventory. The EU AI Act, US state-level laws, and sector rules keep evolving.


\ A model validated and monitored at launch can behave differently six months later without anyone noticing, because nobody was still watching.


Most companies your size have three options: let governance quietly decay, hire a full-time compliance function (rarely justified below a certain size), or bring in fractional AI governance leadership — the equivalent of a part-time or virtual Chief AI Officer, without the six-figure salary or the year-long search. AI Governance as a Service (AI GaaS) is that third option.

THE CADENCE

A Repeating Quarterly Cycle, Not a Retainer.

AI Governance as a Service (AI GaaS) operates on a repeating quarterly cycle, not an open-ended, unscoped retainer:

REVIEW

Quarterly Review

Your AI Evidence Chain™ and compliance posture, checked against reality.

SCAN

Regulatory Scan

Updates as EU AI Act, US state laws, or ISO/IEC 42001 guidance evolve.

↳ repeats next quarter

ON-CALL

On-Call Support

Direct access when you adopt a new AI tool or vendor.

MAINTAIN

Chain Maintenance

Artifacts get actively kept current, not left to go stale.

WHAT

The KPIs That Actually Change Behavior.

Many internal governance efforts quietly stop showing up after the initial build. AI Governance as a Service tracks a small set of KPIs that actually change behavior, rather than vanity metrics like "number of AI models in production":

% of AI systems inventoried


AI incident rate


% risk-assessed prior to release


% of models under active monitoring


Median time-to-approve for high-risk use cases


Policy exception trends


Six to eight metrics, each with a named owner and a threshold, reviewed monthly with real accountability — rather than 40 metrics nobody acts on.

AS YOU SCALE

The Right Structure for Your Stage.

As your AI use grows, how governance is structured internally starts to matter as much as what's documented. AI Governance as a Service includes guidance on which operating model fits your stage:

Centralized CoE

Best when AI use is still emerging and regulatory exposure is high.

Federated Hub-and-Spoke

Balances central guardrails with local speed — useful for multi-region scaling.

Product-Line Ownership

Maximizes delivery speed but risks inconsistent risk appetite across teams.

Most growing companies land on a pragmatic hybrid, and AI Governance as a Service (AI GaaS) helps recalibrate this as the business scales.

IS THIS YOU?

Who AI Governance as a Service Is Built For.

STRONG FIT IF

You've completed the 90-Day Governance Sprint (or built a solid baseline another way) and want it actively maintained

Your company keeps adopting new AI tools faster than anyone's documenting them

You want continuous accountability without the overhead of a full internal compliance hire

You've been managing this internally and it's quietly stopped happening every quarter

NOT YET?

If you don't yet have a governance baseline to maintain, start with the AI Evidence Chain™ Audit or the 90-Day Governance Sprint first — AI Governance as a Service assumes there's something real already in place to keep current.

THE EXPERIENCE BEHIND IT

Continuous Access, Not a Rotating Team.

Direct, continuous access to Ma Cherie Cortez, PhD — the same person who built your AI Evidence Chain™, not a rotating account team or a ticket queue. 27 years of global IT and governance experience, including work with Philips, AB InBev, DLL, and Lloyds Banking Group, applied as an ongoing extension of your business.

Frequenty Asked Questions

Why "AI GaaS" instead of "RaaS" or "Risk-as-a-Service"?

Clarity. "RaaS" is also a well-known acronym for "Ransomware-as-a-Service" in cybersecurity — a completely unrelated, negative association nobody wants attached to their AI governance program. "AI GaaS" (AI Governance as a Service) says exactly what it is, with no confusion.

How is this different from just subscribing to compliance software?

Software tracks what you tell it — it doesn't flag risk in a tool you just adopted, or tell you when a new regulation actually applies to your business. AI GaaS is judgment, applied continuously, not a dashboard. Many clients use both together.

What's the typical response time for on-call support?

This is scoped explicitly at the start of the engagement so expectations are clear on both sides — AI GaaS is intentionally structured (quarterly reviews plus defined on-call support) rather than an unlimited, all-hours dependency, which keeps the relationship sustainable long-term.

Can we pause or scale AI GaaS if our AI use changes significantly?

Yes — the engagement is reviewed and can be adjusted at each quarterly cycle as your AI footprint, team size, or regulatory exposure changes, rather than being locked into a fixed annual scope.

Do you work with our existing legal or compliance team, or replace them?

AI GaaS is designed to work alongside existing legal, risk, or compliance functions — providing the AI-specific expertise most general compliance teams haven't built yet — rather than replacing broader legal or compliance functions.

What happens if a new regulation creates an urgent gap outside the quarterly cycle?

That's exactly what the regulatory scan and on-call support are for — urgent regulatory changes are flagged and addressed as they happen, not held until the next scheduled review.

Is AI GaaS the same as hiring a fractional or virtual Chief AI Officer (vCAIO)?

Functionally, yes — it fills the same role larger firms sell as a "fractional Chief AI Officer" or "vCAIO" retainer, often for $4,000–$15,000 a month. AI GaaS delivers that same continuous, senior-level AI governance leadership — quarterly reviews, regulatory monitoring, on-call decision support — scoped and priced for a small or mid-sized business rather than an enterprise retainer budget.

Does AI GaaS keep us aligned with the EU AI Act, NIST AI RMF, and ISO/IEC 42001 as they evolve?

Yes — that's the core of the quarterly regulatory scan. The EU AI Act's obligations continue phasing in, NIST AI RMF guidance is regularly updated, and ISO/IEC 42001 certification bodies refine what auditors expect. Rather than you tracking all three separately, AI GaaS monitors them together against your specific AI systems and flags what's actually changed for your business — not a generic compliance newsletter.

Direct access. No account managers, no ticket queues.

The same person who built your AI Evidence Chain™ keeps it current — for as long as you need it.

Talk About AI Governance as a Service (AI GaaS)