Secure-edge cost reduction — 67,000-user access consolidation.
How many AI uses are running in your organization right now — and who owns each one?
Most organizations can name their AI vendors. Far fewer can identify every AI use, who owns it, what data it can reach, who it affects, and what happens when something changes. Renzo helps leadership establish that visibility, build defensible governance around it, and determine what should happen next.
Most AI inventories count systems. The exposure lives at the use level.
Team A
Uses Copilot to summarize project meetings.
Team B
Uses the same Copilot license to summarize employee misconduct interviews.
Same vendor. Same license. Same asset-register entry. Different people affected. Different data. Different consequences. Different evidence required. Your asset inventory probably counts that as one thing.
AI Use Inventory
Two to three weeks. One defensible baseline — every AI use, its owner by name, the data it can reach, who it affects, whether it can act on its own, and what you don't yet know.
| AI use | Owner | Affects | Data | Can act? | Unknown |
|---|---|---|---|---|---|
| Interview summary | HR Director | Employees | HR records | No | Retention |
| Support copilot | VP Support | Customers | CRM | Drafts | Training |
| Finance agent | CFO | Vendors | ERP | Yes | Approval limit |
How Renzo establishes the baseline.
Discover
Find AI uses across functions — not simply the AI systems you purchased.
Attribute
Assign a named business owner to each one.
Trace
Systems, data, affected parties, geography and autonomous actions.
Challenge
Separate what is known from what is assumed from what is unknown.
Baseline
A defensible register, and a clear view of what needs deeper assessment.
One starting point. Different outcomes.
AI Governance & ISO 42001
“We know what's operating. Now we need governance and evidence.”
AI Governance →Fractional CAIO / CISO
“We need someone accountable for this at executive level.”
Fractional Leadership →Renzo operates at enterprise scale.
A sample of consequential technology outcomes delivered across three decades of enterprise infrastructure and security leadership — measured on the client’s own reporting, anonymized by request.
Fewer operational outages — $5B manufacturer, active/active re-architecture.
Faster incident recovery (MTTR) — failover dependency designed out.
Ransomware recovery & DR rebuild for a divested business unit.
Delivered outcomes. Client identities available under NDA.
The executive bench you don't have to hire.
Executive leadership, with the depth to deliver it. Engagements are scoped to the decision, not to a headcount — most run one to three days a week, with a defined end state.
Fractional CAIO
AI strategy, governance, adoption and accountability — the officer who owns the AI mandate end to end.
Discuss a CAIO mandate →Fractional CISO
Security posture, AI risk and enterprise resilience for organizations that can't carry a full-time security executive.
Discuss a CISO mandate →Additional executive mandates: Fractional CIO · Fractional CTO.
We understand the systems underneath the governance.
An inventory can surface an AI agent with access to Azure, Entra, CRM, ERP, a data lake, APIs and SaaS applications. Renzo has spent three decades in that architecture — which is why we can execute what we recommend, not merely name it.
AI & Automation
AI implementation, agents, integration and strategy.
Security & Identity
IAM, access, architecture and cyber resilience.
Cloud & Infrastructure
Azure, data center, network and resilient architecture.
Your engagement isn't handed to a junior team.
Ramon J. Matos — Founder & Principal
CISSP · ISO/IEC 42001 Lead Implementer · 30+ years in enterprise security and infrastructure
Microsoft Azure AI Partner · Claude Partner Network member
Renzo CS is founder-led. Every engagement is anchored by a single accountable principal. You're buying judgment — so you talk to the person who will exercise it.
The Renzo CS 3I Framework™
Technology initiatives fail when they start with tools. Every Renzo engagement starts with intent, and doesn't close until impact is proven.
Intent
Begin with defined business purpose and measurable goals. A business case that technology happens to serve.
Intelligence
The right architecture, chosen for the outcome rather than the vendor.
Impact
Validate, expand, and sustain. Every engagement closes with demonstrable proof of value.
Can you answer these five questions?
Every AI tool and feature in use · who owns each one, by name · which influence decisions about people · what data each can reach · which a vendor enabled without anyone approving it. If not, that's the conversation — and we'll tell you whether it needs an executive, an architect, or neither.