Claude Cowork showed every team what AI can do…
Then it spread beyond anyone’s control.
In your best people’s hands, Cowork is magic. Spread across the org, it can become unbounded chaos.
You don’t scale agents by giving them to your whole team
Start with your best people
They prove what works in Cowork.
Keep what works
A handful of Skills, not hundreds.
Scale it on Relevance
Governed, optimized, at volume.
You gave your whole company a raw line to the model
Cowork put an AI agent on every desktop. Now Sales, Marketing, and Ops each run their own automations: a direct, metered connection to the tokens, wired into Salesforce, Gmail, and your files. With nothing in between.
Every team
Sales
120 Cowork seats
Marketing
40 Cowork seats
RevOps
15 seats · builds with Code
Support
60 Cowork seats
Finance
12 Cowork seats
spent this month · 1.4B tokens
Wired into your stack
On usage-based plans there’s no token allowance. Every prompt is billed at API rates, teams routinely run $60–$250 per person per month, and surprise five-figure invoices land that no one can fully explain.
The cost of ungoverned agents
AI agents are already running inside enterprises with no monitoring, no owner, and no audit trail.
↗ Gravitee, State of AI Agent Security 2026of companies can actually track what their AI agents cost them. The rest are flying blind on spend.
↗ Implicator AI, 2026of enterprise AI investments deliver zero measurable bottom-line impact.
↗ MIT NANDA, 2025What Claude Chaos looks like
Agent sprawl isn’t a Claude problem. It’s what happens when a brilliant desktop tool is asked to be an enterprise system.
Skills get forwarded like attachments. Five versions per team, no source of truth, no registry.
“Which version of the call-prep Skill is the real one?”
Your work should graduate from Cowork to Relevance
Every use case climbs four levels of autonomy. Cowork is brilliant at the first two, where a person directs and reviews. L3–L4 is where work runs autonomously, governed and at scale, and that takes a different system. Agent sprawl is what happens when teams scale L1–L2 across the whole org instead.
Your best Skills become Relevance agents
Take the Skills your experts proved in Cowork and turn them into governed Relevance agents that run at volume: owned, held to evals, with approvals where they count.
Quality stops being a guess. Evals hold every agent to your standard
Define what good looks like once. Relevance scores every agent against it, every day, so drift gets caught by your evals, not by your customers.
The difference a system makes
The same processes, side by side: left to sprawl across individual accounts, or run as Relevance agents.

"The ability to be vendor agnostic and the ability to scale across a breadth of functions is a really key feature."
Levi Watters
Partner, KPMG Australia
"The key for us was how we can modularize industry knowledge and the best playbooks, and apply it."
Allen Roh
Senior Marketing Manager, Autodesk
"We're looking for every place where AI can allow sellers and customer success reps to be more engaged with customers."
Rob Giglio
Chief Customer Officer, Canva
"The ability to be vendor agnostic and the ability to scale across a breadth of functions is a really key feature."
Levi Watters
Partner, KPMG Australia


