Coworker vs Guru

Why teams choose Coworker over Guru

Guru is a well-built knowledge base and AI search platform, trusted by 300K users across companies like IBM, Shopify, and TravelPerk. The difference is what happens after you find an answer. Guru surfaces verified knowledge. Coworker takes the next step: updating your CRM, creating tickets, sending follow-ups, and running 24/7 agents that work without anyone lifting a finger.

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Agents
Post-Meeting Actions AgentSales
Handle post-meeting follow-ups
Pipeline Hygiene AgentSales
Audit stale deals and next steps
Renewals AgentCS
Flag at-risk Q2 renewals
Contract Review AgentLegal
Flag non-standard clauses
Bug Triage AgentEng
Triage, dedupe, and assign bugs
Infosec Response AgentIT
Answer security questionnaires
Post-Meeting Actions Agent

3 tool requests

#1

Call transcript

Extracted 3 action items and 1 open bug from Loom call

#2

Zendesk ticket

Bug ticket created with priority Medium, assigned to eng

#3

Follow-up email

Summary email with next steps composed and sent

Reasoning steps

Call transcript
Zendesk ticket
Follow-up email
Why Coworker

What makes Coworker different

Agent-first execution vs. knowledge-first search

Coworker

Coworker was built to act, not just answer. Agents update CRMs, create tickets, send emails, and run 24/7 cloud workflows triggered by meetings, deals, or schedules. No prompting required.

Guru

Guru's Knowledge Agents are AI-powered assistants built to surface verified answers from your connected sources. They find and present knowledge accurately, but do not take actions like writing to CRM or sending emails.

Feature Comparison

Side by side

Capability
Coworker
Guru
AI Capabilities
Core approach
Agent-first: execute workflows, not just surface answers
Knowledge-first: verify, organize, and surface answers from your connected tools
Autonomous agents
Schedule, trigger, or event-driven 24/7 cloud agents
Knowledge Agents surface answers and auto-verify content; no autonomous action execution
Agent builder
No-code builder with triggers, approval gates, and multi-tool sequences
No-code Knowledge Agent builder for configuring search scope and answer tuning
Post-meeting actions
Native notetaker auto-updates CRM, creates tickets, sends follow-ups
Gong can be connected as a source; no native notetaker or automated post-meeting actions
Organizational memory
OM1 knowledge graph, 120+ relationship dimensions, pre-synthesized context
Verified knowledge cards maintained by designated experts; strong for static knowledge
Execution & Integrations
Meeting intelligence
Native meeting notetaker with auto follow-up workflows
No native notetaker; Gong call summaries can be used as a knowledge source
Write to business tools
Salesforce, HubSpot, Jira, Slack, Zendesk, Notion and more
Read-only across connected sources; does not write to CRM, ticketing, or email
Proactive alerts
Monitors deals, accounts, and tickets for risks and blockers
Knowledge gap alerts for admins; no deal or account monitoring
MCP server
Search, chat, and direct agent invocation
MCP server for search, retrieval, and knowledge card updates (Create Draft, Update Card)
Integrations
100+ native connectors (Salesforce, HubSpot, Jira, Slack, Zendesk, Snowflake, GitHub, and more)
100+ source connectors (Google Drive, Confluence, Slack, Salesforce, Zendesk, Gong, and more)
Deployment & Pricing
Time to value
POC in 48 hours, full enterprise setup in 2-5 business days
Enterprise scoping typically takes 1-2 weeks with onboarding support
Native meeting notetaker
Yes
Not available
Security
SOC 2 Type II, GDPR, CASA Tier 2
SOC 2 Type II, HIPAA (BAA available), GDPR, EU-US Privacy Framework, PCI compliant (self-assessed)
Pricing
$30/user/month, all features included, public pricing
Enterprise contract only; no public pricing, requires sales call
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

Both platforms connect to your tools and surface AI-powered answers. The core difference is what happens next. Guru's Knowledge Agents find and verify accurate information, which is genuinely valuable for knowledge management. Coworker goes further: agents take action, updating CRMs, creating tickets, sending follow-ups, and running autonomous workflows across sales, CS, product, and support simultaneously.

Guru's Knowledge Agents are AI-powered assistants focused on finding and verifying accurate answers from your connected knowledge sources. They are excellent at surfacing the right information in context. They do not take write actions like updating Salesforce, creating Jira tickets, or sending emails. Coworker's agents handle that execution layer on top of the knowledge retrieval.

Guru does not have a native meeting notetaker. You can connect Gong to Guru as a source, which lets Knowledge Agents surface insights from past call recordings. Coworker includes a native meeting notetaker that automatically triggers post-call workflows: CRM updates, ticket creation, follow-up emails, and Slack summaries, without any manual steps.

Guru is now enterprise-only with no public pricing: every deal requires a sales conversation, and final cost is scoped to your organization's size and AI maturity. Coworker is $30/user/month with all features included, public pricing, and no seat minimums. You know the number before the first call.

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

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