Approved platforms
Copilot, ChatGPT, Claude and other enterprise tools.
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.
If you cannot identify every AI use, its owner, what it can reach, and who it affects, you don't yet have AI governance — you have assumptions. Renzo establishes the evidence first, then determines what actually requires governance, security intervention, or executive ownership.
Uses Copilot to summarize project meetings.
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.
New AI enters the organization through more than formal procurement.
Copilot, ChatGPT, Claude and other enterprise tools.
AI features vendors enable inside software you already own.
Teams adopting AI without central review.
AI moving from generating information to taking actions in enterprise systems.
The problem is not simply that AI exists. The environment changes faster than most inventories and approval processes do. That is why the starting point is evidence: what is actually in use, who owns it, what it can reach, and what remains unknown.
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 summarization | HR Director | Employees | Interview records | No | Retention |
| Support copilot | VP Support | Customers | CRM + tickets | Drafts only | Training use |
| Finance agent | CFO | Vendors / finance | ERP | Creates transactions | Approval boundary |
Find AI uses across functions — not simply the AI systems you purchased.
Assign a named business owner to each one.
Systems, data, affected parties, geography and autonomous actions.
Separate what is known from what is assumed from what is unknown.
A defensible register, and a clear view of what needs deeper assessment.
“We know what's operating. Now we need governance and evidence.”
AI Governance →“We need someone accountable for this at executive level.”
Fractional Leadership →Two more ways in: an Agent Inventory for AI that takes actions, and Board AI Oversight for directors who must show how they govern it.
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.
Secure-edge cost reduction — 67,000-user access consolidation.
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.
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.
AI strategy, governance, adoption and accountability — the officer who owns the AI mandate end to end.
Discuss a CAIO mandate →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.
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 implementation, agents, integration and strategy.
IAM, access, architecture and cyber resilience.
Multi-cloud across AWS, Azure and Google Cloud, plus data center, network and resilient architecture.
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.
Technology initiatives fail when they start with tools. Every Renzo engagement starts with intent, and doesn't close until impact is proven.
Begin with defined business purpose and measurable goals. A business case that technology happens to serve.
The right architecture, chosen for the outcome rather than the vendor.
Validate, expand, and sustain. Every engagement closes with demonstrable proof of value.
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.