- Identified three product gaps tied to renewal risk
- Connected CS-482 to 12 supporting sources
Claude$1.84
AtlasMaps activity, opportunity, and impact
Map and label AI activity. Surface opportunities for optimization.
Connect people, agents, spend, and outcomes to understand where AI changes the work, and measure impact by role and Work Stream.
~80%
AI-assisted work can sit outside provider dashboards and billing data. Atlas helps map it.
Actual visibility varies by tool coverage, including browser, IDE, local proxy, CLI, consumer chat, and agent activity.
Visibility with Atlas
See the work behind your AI spend.
Cortex · Atlas
Atlas
Workforce intelligence
31 people connected
PeopleWork rhythmActivity surfaces
Captured activity · 30 daysClaude184 exchanges
ChatGPT161 exchanges
Cursor88 exchanges
Slack64 exchanges
GitHub43 exchanges
Claude184 exchangesChatGPT161 exchangesCursor88 exchangesSlack64 exchangesGitHub43 exchangesWorkforce overview
Human + AI-agent workforce
See adoption, spend, and work outcomes together so every AI investment has an owner and an operating result.
Last 30 days
AI adoption
26 / 31 84%
5 people need enablement
3 new active users this month
Enablement cohort
+2
+2Changes to review
4
2 policy shifts, 2 model changes
Maya and Priya own the next decisions
Models affected
AI spend mix
$48.2kClaude$22.9k48%ChatGPT$15.4k32%
Gemini$9.9k20%
Claude$22.9k48%ChatGPT$15.4k32%Gemini$9.9k20%3 model providers
Surface coverage
540captured exchanges
Web214Desktop126Cloud118Coding agents82
Connected applications
Today's work rhythm
See what moved, who contributed, and what it cost
184 captured exchanges across 31 people. Nine highlighted work units connect outcomes, model spend, collaborators, and source evidence.
People09:00Morning11:30Midday14:00Afternoon
Priya Nair
Customer support
37 exchanges · 3 work units
Spend today
$4.72
Models
Apps
Collaborators
Claude$1.84- Resolved the customer blocker in 22 minutes
- Grounded the response in SUP-928 and 18 Slack messages
ChatGPT$2.16- Closed four recurring setup gaps before publication
- Captured approved guidance in the support knowledge base
Gemini$0.72
Maya Voss
Platform engineering
64 exchanges · 3 work units
Spend today
$12.47
Models
Apps
Collaborators
- Separated 14 exceptions into three controlled rollout groups
- Assigned owners and rollback criteria before production
Claude$4.68- Isolated two regressions before the routing release
- Linked the failing prompts and fix in PR #840
ChatGPT$6.42- Reduced budget overruns without changing approved workflows
- Merged PR #842 and published the control specification
Claude$1.37
Jordan Silva
Product
32 exchanges · 3 work units
Spend today
$4.54
Models
Apps
Collaborators
- Ranked three onboarding opportunities by customer impact
- Connected each theme to interview notes and source meetings
Gemini$0.94- Found the behavior most predictive of week-four retention
- Added the evidence to PROD-236 for roadmap review
Claude$2.48- Aligned Product and GTM on the release narrative
- Connected the brief, checklist, and launch channel
ChatGPT$1.12People and agents
View productAdoption, callouts, spend concentration, and activity across people and agents.
The operating view
One operating view for AI work.
Every surface answers a question your leadership is already asking, from provider invoices to classified work, and from recurring work to a prioritized roadmap.
Operating view
Pulse
What changed this week, and what should we do about it?
Engineering$48.2K
Product$31.0K
Sales$22.4K
Marketing$17.8K
Support$9.6K
Workforce Visibility
See your human + AI-agent workforce in one place.
A live picture of who's doing what, where, and how much of it runs without a human in the loop.
- Human and AI-agent work together, not in separate tools
- Automated vs. human work at a glance
- Every tool on one dashboard
Workforce
Work & Attribution
Identify the work, then tie every dollar to it.
Atlas maps raw activity into Work Units (bounded attempts with coherent outcomes) and Work Streams (durable families of related Work Units), then attributes spend to each. This lets teams value work instead of counting tokens by user.
- Work Units and Work Streams tied to coherent outcomes
- Spend attributed by person and Work Stream
- Time, spend, risk, and value traced to the work
Cost drivers
Operational insights
Know what's quietly working, or quietly failing.
Operational insights now live with Workforce Visibility. Atlas learns from accepted, rejected, edited, approved, shipped, reverted, passed, failed, and resolved outcomes to show where time, spend, risk, and potential value concentrate.
- Outcome signals become learnable labels
- Baselines by role and Work Stream
- AI Opportunity Map and Intelligence Roadmap
Insights
Enterprise Search
Find the decision. See the proof around it.
Search connected apps and captured AI work with org ground truth. Preview source evidence and retain accepted context for the next run.
- Search authorized connected sources and AI work
- Preview citations and source evidence
- Open the context graph from any answer
Enterprise Search
Hand off to Security
Review AI risk on the Security pages.
Atlas explains what changed in the work. Security owns shadow AI discovery, controlled-path enforcement, and investigation.
- Observed activity linked to actors and non-human identities
- Allow or deny Cortex-initiated MCP access on configured gateway paths
- Available and configuration-gated controls by supported path
MCP registry
On-device Capture
Bring supported AI activity into the Work Graph.
This is how Cortex connects to your organization, not a separate product. An on-device sensor and local proxy can observe supported browser, IDE, and gateway activity, subject to deployment configuration.
- On-device capture for supported applications
- Configurable minimization before telemetry sync
- Provider and Cortex telemetry paths documented separately
Capture boundary
See where AI creates value.
Connect AI activity, spend, and outcomes so your next investment starts with evidence.