Every AI agent in your org — discovered, tracked, and accountable.

Your teams are deploying AI agents faster than IT can count them. Slack bots, GitHub copilots, custom GPTs, workflow automations — nobody has the full picture. Node finds every agent across your stack and tells you what it does, who owns it, and whether it's earning its keep.

SaaS sprawl had a decade head start. AI agent sprawl is moving faster.

Three things you need before the next board meeting asks “how many AI agents are running in our business?”

01

Discovered automatically.

Node scans across Google Workspace, Microsoft 365, Slack, and GitHub to surface every AI agent in your environment. Custom bots, third-party copilots, workflow automations, API-connected models — including the ones nobody asked permission to deploy.

02

Mapped to the work.

Every agent is linked to the capability, workflow, and team it touches. Not just “we have 47 agents” — but which ones are embedded in revenue operations, which ones have access to customer data, and which ones overlap with three others doing the same job.

03

Governed, not just listed.

Ownership, access scope, last active date, and spend. When an agent goes dormant, you know. When a team member who deployed it leaves the company, you know. When two agents are doing the same thing for different teams, you know.

The state of AI agents in your business
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
Discover

Find every agent. Especially the ones nobody told you about.

AI agent adoption doesn't go through procurement. Someone on the sales team connects a GPT to the CRM. Engineering installs a code review bot. Marketing sets up an AI content workflow. By the time anyone asks “what AI are we running?” — the answer is already complicated. Node finds them all without anyone self-reporting.

  • SourcesGoogle Workspace · Microsoft 365 · Slack · GitHub
  • DetectionOAuth grants · API connections · bot users · installed apps
  • ScanContinuous — not a quarterly audit
  • Shadow agentsSurfaced automatically, flagged for review
Assess

Know which agents matter and which are noise.

Not every agent is a risk and not every agent is valuable. Node maps each one to the workflow it supports, the data it accesses, and the team that depends on it. You get a clear picture of which agents are critical infrastructure, which are experiments that worked, and which are dead weight nobody turned off.

  • Mapped toCapability · workflow · team · data scope
  • UsageActive · idle · dormant
  • OverlapFlags agents duplicating the same function
  • Risk tierBased on data access and ownership clarity
Govern

Ownership, access, and a kill switch.

Every agent has a named owner, a defined scope, and a status. When someone leaves the company, their agents are flagged. When an agent's access exceeds its purpose, it surfaces. When you need to shut something down, the audit trail is already built.

  • OwnerNamed individual — always
  • Access scopeReviewed against actual usage
  • OffboardingAuto-flags agents tied to departed employees
  • Audit trailEvery change logged from first discovery

Shadow IT was spreadsheets and rogue Dropbox accounts. Shadow AI is agents with access to your CRM, your codebase, and your customer data — and nobody in security knows they exist.

Stop guessing your software decisions.

Node maps how your business works and how software supports it — so every decision is grounded in what's real.

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