Know every AI tool in your org.

One register for every agent, model, and copilot — what it does, who owns it, and whether it's earning its keep.

Your team's building an invisible, ungoverned AI stack.

Marketing
AI copywriter connected to CMS and brand assets
Sales
AI SDR connected to CRM, email, and prospect data
Engineering
AI code assistant connected to production repos
Finance
AI bookkeeper connected to ERP and bank feeds
Support
AI agent connected to helpdesk and customer data
HR
AI screener connected to ATS and candidate PII
The scale of the problem
97%
of organisations have employees using unsanctioned AI
81%
of employees report using unapproved AI tools
84%
of organisations lack full oversight of AI use
75%+
of AI deployments fail to reach positive ROI

What Node does.

01

Discovers every AI tool in use.

Node pulls from your SSO, expense system, and browser telemetry to surface every AI app touching your business — sanctioned or not. Including the free tiers nobody logs.

02

Maps each tool to a capability.

Every AI app gets tied to the part of your operating model it's changing — content production, pipeline generation, code review. Overlap becomes obvious. So does the gap between what you're paying for and what's actually moving the needle.

03

Drives the consolidation, ticket by ticket.

Node opens projects to retire duplicates, negotiate the survivors, and route new AI requests through a real intake. You see who's championing what, who's blocking, and what ships this quarter.

How much AI are we running, and who approved it?

The board won't ask about your AI register. They'll ask three blunt questions. Node makes sure you have the answers.

Step 1 — Discover

What AI tools are in our environment?

Node pulls from SSO, expense data, and browser telemetry to build a live inventory of every AI tool in the business — sanctioned, shadow, free tier, embedded. No surveys. No self-reporting.

  • SourcesSSO · Expense system · Browser telemetry
  • CoverageSanctioned and shadow tools
  • Embedded AICopilots inside existing SaaS detected
Step 2 — Profile

What's it doing, and who's accountable?

Every AI tool gets profiled like a contractor: what it's working on, what data it can reach, how often it's used, and who in the business owns the decision to keep it.

  • ScopeMapped to capability and workflow
  • Data accessLogged per source · auditable
  • Override rateHow often humans correct its output
  • OwnerNamed DRI required for every tool
Step 3 — Govern

What's our exposure if something goes wrong?

Every tool gets a risk classification, a policy check, and an owner. When something changes — new data source, model update, regulatory shift — Node flags it before it becomes a finding.

  • Ungoverned toolsQuarantined until DRI assigned
  • Drift detectionAlerts on model or scope changes
  • Audit exportOne click · auditor-ready
Where you end up

One AI register. One owner per capability. One number you can defend to the board.

When someone asks "how much are we spending on AI?" you have an answer. When someone asks "is it working?" you have evidence. When the next tool request lands, it goes through a process — not a Slack DM to the CFO.

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