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.

/call-prepMaya · Sales
/copy-of-call-prepForwarded ×14
/call-prep-v2Duplicate
/lead-scraperOwner left
/qbr-builderCS team
/qbr-FINAL3 versions
/pricing-botIn a Slack DM
/inbox-cleanupOrphaned
/competitor-watchStale · 5 mo
/deal-notes-syncTom · Sales
/email-blastNo owner
/renewal-nudgeForwarded ×6
/contract-parserOn a laptop
/crm-exportDuplicate
/forecast-helperStale · 3 mo
/outreach-v3v1, v2, v3…
/meeting-notesPriya · Ops
/churn-flagsOrphaned
/untitled-skillUnknown owner
/data-cleanupForwarded ×9
/proposal-draftConflicting copies
/account-researchSam · Sales
/invoice-chaserOrphaned
/tempWho made this?
+ 223 more, forwarded and duplicated across the company

You don’t scale agents by giving them to your whole team

Cowork
Prep me for the Acme call
Working…
Pulled CRM + last 3 emails
Drafted 5 talking points
01

Start with your best people

They prove what works in Cowork.

What’s actually working↑ 94%
Call-prep Skill · success rate
02

Keep what works

A handful of Skills, not hundreds.

Relevance · liveevals 94%
Research Agent600/day
QBR Agentweekly
Inbound Agent24/7
03

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

Raw model access
$0

spent this month · 1.4B tokens

No allowance · No spend limit · Billed at API rates

Wired into your stack

Salesforce
Gmail
Google Drive
Slack

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

+0

AI agents are already running inside enterprises with no monitoring, no owner, and no audit trail.

Gravitee, State of AI Agent Security 2026
0%

of companies can actually track what their AI agents cost them. The rest are flying blind on spend.

Implicator AI, 2026
0%

of enterprise AI investments deliver zero measurable bottom-line impact.

MIT NANDA, 2025

What 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.

/call-prepMaya · Sales
/copy-of-call-prepDuplicate
/call-prep-v2Duplicate
/call-prep-FINALDuplicate

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.

L1. Assisted
Human request
Agent action
Human request
Agent action
Claude Cowork
Someone opens Cowork and asks for help: research, drafts, answers, one task at a time.
L2. Copilot
Human request
Agent uses Skill
12 x Agent actions
Human reviews
Claude Cowork + Skills
They save what works as a Skill and reuse it. Powerful, but every run still needs a person.
L3. Autopilot
Events & signals
Agent 1
Agent 2
Agent 3
Humans manage
Relevance platform
Proven Skills graduate into Relevance agents: triggered by signals, governed, running on their own.
L4. Self-Driving
Business goals
Agents
Experiment A
Experiment B
Relevance platform
Your agents optimize themselves: running evals, swapping models, building new workflows. You set direction.
Claude Cowork · where most teams are today
Relevance · where it becomes a workforce

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.

Overall eval scoreLast 12 weeks
90% threshold
W1
W2
W3
W4
W5
W6
W7
W8
W9
W10
W11
W12
BDR Agent — eval results
Eval results
Last run: 2 hours ago
Email quality
Lead qualification accuracy
Response time SLA
CRM data completeness
4 of 4 evals passing — safe to deploy

The difference a system makes

The same processes, side by side: left to sprawl across individual accounts, or run as Relevance agents.

Ungoverned sprawl
A workforce on Relevance
Playbooks
Skills forwarded like attachments
Encoded once into shared Relevance agents
Quality
Drifts silently, unmeasured
Evals hold every agent to a standard
Autonomy
Runs unattended, no guardrails
Approvals & human-in-the-loop where it counts
Context
Siloed in private sessions
Shared memory across the workforce
Oversight
No registry, no audit trail
Every agent owned, logged, and visible
Cost
Untracked token burn
Spend attributed to outcomes
KPMG
"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

Read more
Autodesk
"The key for us was how we can modularize industry knowledge and the best playbooks, and apply it."

Allen Roh

Senior Marketing Manager, Autodesk

Read more
Canva
"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

Read more
"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

Read more

Your team is buried in tasks humans shouldn't do anymore