AI Adoption Heat Map

Finally see if your AI investment is working

Which teams are automated. Which are still doing it by hand. Agent performance. Adoption velocity. The live scoreboard for your entire AI investment.

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Visibility

Real-time

Live adoption tracking

Coverage

All AI

Coworker + Claude + more

Insight

By team

ROI per department

Heat Map

Live

AI adoption by team

Organization-wide54% automated

Engineering

87%12 agents

Sales

71%8 agents

Customer Success

62%6 agents

Marketing

45%4 agents

Finance

23%2 agents

Legal

8%1 agents

33 active agents · 6 teams tracked · 847 workflows identified

What You See

The dashboard your CIO has been asking for

Where the AI money is going. Whether it's working. What to do next.

Agent Visibility

Every agent, every platform, one view

Which agents are running across Coworker, Claude Managed Agents, Claude Code, Claude Desktop, and any other AI tools. Who is using them and how often.

Workflow Automation Rate

Manual vs. automated, by team

What percentage of identifiable workflows are handled by AI vs. done by hand. OM2 detects when a workflow that an agent handles is still being performed manually.

Adoption by Function

Where AI is thriving and where it's not

Breakdown by team, role, and business function. Engineering using Claude Code daily? Sales running pipeline agents? Finance still doing manual reconciliation? The Heat Map shows it all.

ROI Attribution

Connect usage to outcomes

Hours recovered, error rates reduced, cycle times shortened. Each agent and team gets measurable ROI so leadership knows what's working and where to invest next.

Adoption Trends

Track progress over time

Week-over-week and month-over-month adoption trends. See if deployment is accelerating, plateauing, or regressing. Spot teams that need support before they stall.

Opportunity Gaps

Where AI should be but isn't

The Heat Map highlights departments and workflows where automation is feasible but not yet deployed. It creates the pull for expanding agent deployment into low-adoption areas.

What you see

Every workflow, every team, every AI tool

Agent activity across platforms

Which agents are running, on which platforms (Coworker, Claude Code, Managed Agents), and who is using them. One view for the entire AI fleet.

90+

Manual vs. automated rates

What percentage of identifiable workflows are handled by AI vs. done by hand. Broken down by team, function, and workflow type. OM2 detects when manual work persists.

Messages

Tickets

Deals

Docs

Sheets

Calendars

CRM

ROI attribution by team

Hours recovered, error rates reduced, cycle times shortened. Each team and agent gets measurable ROI. Leadership knows exactly where AI is paying off and where to invest next.

Engineering: 87% automated · High adoption

Customer Success: 62% automated · Growing

Finance: 23% automated · Opportunity

Legal: 8% automated · Untouched

Make the invisible visible

Your board will thank you.

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Trust & Security

Built to be enterprise-ready

Security, privacy, and compliance are not add-ons – they're foundational to every layer of the platform.

SOC 2 Type IIVia Secureframe

GDPREU data protection

CASA Tier 2Cloud app security

Permissions & Access Control

Role-based access controls (RBAC) with granular permission sets
Enterprise SSO via SAML 2.0 and OIDC
Multi-factor authentication enforced at every level
Scoped API keys with configurable rate limits

Security & Encryption

AES-256 encryption at rest, TLS 1.3 in transit
Zero-trust network architecture
Regular penetration testing by independent firms
Vulnerability disclosure and responsible patching

Privacy & Data Governance

Your data is never used to train models
Regional data residency – choose where data lives
Data retention policies and automated purge controls
Full data processing agreements (DPA) available

Scale & Reliability

99.9% uptime SLA backed by enterprise agreements
Multi-region, multi-cloud infrastructure
Horizontal auto-scaling for peak workloads
Disaster recovery with <1hr RPO, <4hr RTO

Controls & Oversight

Human-in-the-loop approval gates for sensitive actions
Complete audit trails – every agent action logged
Real-time monitoring dashboards and alerting
Configurable guardrails, rate limits, and kill switches

Deployment Flexibility

Cloud, private cloud, or on-premise deployment
VPC peering and private endpoints supported
Air-gapped environments for regulated industries
Bring your own model (BYOM) support

FAQ

Frequently asked questions

The Heat Map tracks AI usage across Coworker agents, Claude (Managed Agents, Claude Code, Claude Desktop), and any other AI tools connected to your enterprise stack. It provides a unified view regardless of which AI platform your teams use.

OM2's knowledge graph observes workflow patterns across your connected tools. When a workflow that an agent handles is still being done by hand in certain teams or regions, the Heat Map flags it. This is derived from actual system activity, not self-reported surveys.

CIOs, COOs, VPs of Digital Transformation, and anyone responsible for AI adoption at the organizational level. It answers the question every executive is asking: we're spending millions on AI, where is it actually being used?

Yes. The Heat Map connects agent usage to measurable outcomes: hours recovered, error rates reduced, cycle times shortened, and manual work eliminated. Each agent and team gets its own ROI attribution so leadership can see what's working and where to invest next.

It works best with the full Coworker stack, but it can also track Claude usage and other AI tools independently through OM2's observation layer. The more data sources connected, the more complete the picture.