Coworker vs Gemini

Why enterprise teams choose Coworker over Google Gemini

Gemini brings powerful AI into Google Docs, Sheets, Gmail, and Meet. Coworker works across every tool your org uses: Salesforce, Jira, Slack, HubSpot, Notion, and 100+ more. If your team lives outside Google Workspace, Coworker gives you deeper organizational context and autonomous agents that operate across your full stack.

Last updated: April 2026

Agents
Knowledge Search AgentIT
Find answers across 40+ tools
Cross-Tool Research AgentSales
Surface context from every source
Policy Q&A AgentLegal
Answer compliance questions instantly
Market Intel AgentMarketing
Track competitors and trends
Onboarding AgentPeople
Guide new hires through docs
Procurement AgentFinance
Automate vendor workflows
Knowledge Search Agent

3 tool requests

#1

Meeting transcript

Extracted 4 action items from Acme call

#2

Salesforce update

Stage → Discovery Complete, notes added

#3

Follow-up draft

Recap email with POC timeline composed

Reasoning steps

Meeting transcript
Salesforce update
Follow-up draft
Why Coworker

What makes Coworker different

Cross-org memory vs. Google Workspace context

Coworker

OM1 builds a knowledge graph across 120+ dimensions spanning every tool: Salesforce, Slack, Jira, meetings, email, and more. Agents arrive knowing your org regardless of which tools it uses.

Gemini

Gemini for Google Workspace has excellent context within your Google data: Drive, Gmail, Docs, Meet. Pulling in context from non-Google tools requires additional setup.

Feature Comparison

Side by side

Capability
Coworker
Gemini
AI Capabilities
Core ecosystem
Tool-agnostic; works across any stack
Google Workspace native
Organizational memory
OM1 knowledge graph, 120+ dimensions
Google Workspace context (Drive, Gmail, Docs)
Autonomous agents
No-code, trigger-based, cross-tool
Gemini agents (primarily Workspace-scoped)
Agent builder
No-code with triggers and approval gates
Gemini in Google AI Studio; requires setup
Execution & Integrations
Meeting intelligence
Native (Zoom, Meet, Teams) + auto follow-ups
Google Meet summaries; Zoom requires setup
CRM writes
Automatic after meetings and events
Not native; requires Google Cloud/Salesforce setup
Non-Google integrations
100+ native (Salesforce, Jira, Slack, HubSpot, etc.)
Limited; primarily Google ecosystem
MCP support
MCP server: search, chat, and agent invocation
Google Cloud MCP support (announced Dec 2025)
Deployment & Pricing
Time to value
Agents working in minutes, full setup in days
Varies; included with Workspace plans
Security
SOC 2 Type II, GDPR, CASA Tier 2
ISO 27001, SOC 2, GDPR, HIPAA
Pricing
$30/user/month, all features included
Basic Gemini bundled with Business/Enterprise; advanced AI features require add-on
Pricing transparency
Public pricing
Google AI Pro (formerly Gemini Advanced): $20/mo; AI Ultra: $249/mo
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

Gemini is Google's AI embedded in Workspace (Docs, Sheets, Gmail, Meet). It excels when your team lives in Google tools. Coworker is tool-agnostic: it works across Salesforce, Jira, Slack, HubSpot, Notion, and 100+ other tools. Coworker also includes autonomous agents with triggers, OM1 organizational memory across your full stack, and native meeting follow-ups that write to any CRM or project tool.

Gemini in Google Workspace is primarily scoped to Google tools (Drive, Gmail, Docs, Meet). Connecting to Salesforce, Jira, or Slack requires Google Cloud Connectors or third-party integrations that need engineering setup. Coworker ships with 100+ native read-write connectors to these tools and deploys them in 2-5 days without any custom development.

Gemini in Google Workspace can automate some tasks within Google tools. For fully autonomous agents that run on schedules, monitor signals across multiple tools, and execute multi-step workflows, you need Google Cloud development. Coworker includes a no-code agent builder that does this without engineering work.

Gemini is included with some Google Workspace Business and Enterprise plans, so if you are already paying for Workspace it may feel free. Coworker is $30/user/month. The comparison comes down to scope: if your team needs AI that works across your entire stack, not just Google tools, and that runs autonomous agents and builds organizational memory across all systems, Coworker provides value that Gemini does not.

Yes. Coworker is SOC 2 Type II certified, GDPR compliant, and CASA Tier 2 verified. All data is encrypted, respects existing permission models, and is never used to train AI models. Enterprise customers get SSO, RBAC, and a dedicated security review.

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