RAASIFY.AI — SERVICE 02 / 90-DAY GOVERNANCE SPRINT
Go from "we're not sure what we're running" to audit-ready in one quarter.
A fixed 12-week engagement that builds a complete, working AI Evidence Chain™ for your business: documentation, risk assessments, oversight processes, and a real audit trail — using enterprise governance methodology, scoped and priced for a company your size.
THE DEADLINE YOU'RE FACING
Governance That Doesn't Exist Yet.
Somewhere in your organization, there's a deadline: a board asking hard questions, a customer's procurement team requiring proof of AI governance, an upcoming ISO/IEC 42001 certification push, or the EU AI Act's enforcement timeline getting closer.
\You know governance needs to exist, and it doesn't yet — not in a form anyone could defend under scrutiny.
Building this internally without prior experience is where most companies stall. Risk tiers get misclassified. Vendor-supplied AI gets missed entirely because nobody thought to inventory it. A policy gets written that sounds right but has no evidence infrastructure behind it — so the first time someone actually asks for proof, there isn't any.
The 90-Day Governance Sprint exists because 90 days is a realistic, defensible window to build real governance before external pressure — regulatory, contractual, or reputational — forces it to happen under worse conditions.
THE 90-DAY BUILD
Three Phases. One Quarter. Real Governance.
You don't need a 300-page program. You need a disciplined roadmap.
Here's what the first 90 days look like.
Establish the Baseline
A complete system inventory — including shadow AI and vendor-embedded features. Organizations typically discover 30–40% more AI systems than expected. Highest-risk gaps get flagged immediately, not left for week 12.
Build the Core Governance
A documented AI use policy, approval gates, and a risk classification workflow mapped to EU AI Act tiers, ISO/IEC 42001, and — where applicable — US state laws like Colorado's SB 24-205 and Texas's TRAIGA.
Operationalize & Hand Over
Stress-tests everything against real scenarios, finalizes oversight processes, builds vendor due-diligence into procurement, and hands over a system your team can run — or transitions into AI Goverance as a Service.
THE DELIVERABLES
Five Artifacts Boards Actually Ask For.
By the end of the Sprint, you have the five artifacts that boards, auditors, and regulators consistently ask for first:
AI System Inventory
— every AI system in use, owned and kept current
Risk Assessment Template
— mapped directly to ISO/IEC 42001 and EU AI Act risk tiers, applied to every system in scope
Model Change Log
— linked to approvals and rollback plans, so changes are traceable
Human Oversight Playbook
— defined escalation paths for when an AI system needs human intervention
KPI Dashboard
— covering performance, safety, and compliance metrics, with named owners
Each artifact is built with a named owner and a review cadence — because an artifact nobody owns quietly goes stale within a quarter.
BUILT IN, NOT BOLTED ON
Training That Transfers As You Build.
A governance framework only works if the people running it understand why each piece exists, not just what fields to fill in. Where relevant, the Sprint includes structured training tailored by audience — compliance and risk teams get depth on risk classification and evidence requirements; product owners learn when their use case triggers a review; engineering and data teams get the practical mechanics of change logs and monitoring. This means the knowledge transfers as the artifacts are being built, not handed over afterward as a binder nobody reads.
IS THIS YOU?
Who the Sprint Is Built For.
STRONG FIT IF
NOT SURE YET?
THE EXPERIENCE BEHIND THE SPRINT
27 Years of Enterprise Governance — Compressed Into 90 Days.
Led directly by Ma Cherie Cortez, PhD — not handed to a junior team — drawing on 27 years of global IT and AI governance experience with organizations including Philips, AB InBev, DLL, and Lloyds Banking Group. The same rigor, compressed into a fixed 90-day engagement sized for a business with one or a handful of decision-makers, not a multi-stakeholder enterprise program.
Frequenty Asked Questions
The Sprint is scoped to get you substantially audit-ready within 90 days for the systems in scope at the outset. If new AI systems or risks emerge mid-engagement, they're flagged and scoped separately rather than silently expanding the original timeline.
You need a single point of contact who can make decisions and pull in the right people for interviews — not a dedicated compliance team. Part of the Sprint's design is that it doesn't assume you have compliance headcount to spare.
It runs alongside normal operations. The Sprint documents and governs what you're already doing — it doesn't require pausing AI systems already in production, though specific high-risk findings may come with an urgent recommendation to address immediately.
A platform tracks what you tell it. The Sprint builds the actual governance substance — the inventory, the risk classifications, the oversight processes — that a platform would otherwise sit empty without. Many clients use both: RaaSify.AI to build the governance itself, and a lightweight system to track it going forward.
Yes — 90 days reflects a typical single-product or single-business-unit scope. Multi-region or multi-business-unit engagements are scoped individually during the Assessment Call.
Yes. While the EU AI Act shapes much of the framework's risk-tiering approach, the governance infrastructure built during the Sprint — inventory, risk classification, oversight, audit trail — maps equally to US state-level AI laws like Colorado's SB 24-205 and Texas's TRAIGA, alongside NIST AI RMF. Most of what makes an AI system defensible is the same regardless of which specific law is asking.
A fixed 90 days. A working AI Evidence Chain™.
Enterprise-grade methodology from Philips, AB InBev, DLL, and Lloyds Banking Group — compressed into a sprint sized for your business.