
Introducing OM2: Your enterprise just started thinking
Your AI starts from zero every session. OM2 is the organizational memory that learns continuously across your tools, so it stops re-reading and starts thinking.
Coworker Blog
Product updates, engineering deep dives, original research and our point of view on giving AI the right context at the right cost.

Your AI starts from zero every session. OM2 is the organizational memory that learns continuously across your tools, so it stops re-reading and starts thinking.

In September, we shipped OM2, Code in beta, a new Analytics dashboard, and new connectors.
Glean vs Claude, compared by Coworker AI: Glean search and agents vs Claude Enterprise with connectors, on pricing, permissions, models and fit.
Per-seat vs token-based AI pricing for 1,000 employees: seat costs at list price, token costs per user, break-even tasks per seat, idle seats and hybrids.
Coworker AI breaks down Claude Enterprise pricing for Oct 2026: $20 a seat plus all usage at API rates, Team at $20 or $100, and costs for 50 to 1,000 users.
How to route AI requests to cheaper models across a company: a low-cost default, a frontier step up, admin guardrails, and a quality check before you scale.
Coworker AI's method to benchmark enterprise AI platforms before a POC: 50 to 100 real tasks, blind scoring, cost per accepted task, and a scorecard.
Coworker AI's guide to the best Claude connectors: Google Drive, Slack, Jira, Salesforce and more, how admins add them, and where each one falls short.
Claude vs Copilot, compared by Coworker AI: Claude Team and Enterprise vs Microsoft 365 Copilot on pricing, connectors, admin controls and fit.
Coworker AI maps the enterprise AI stack: seven layers from systems of record to context, models, agents and governance, with vendors and what to buy.
Coworker AI explains the AI memory layer: how it differs from RAG, agent memory tools like Mem0 and Zep, company-wide memory, and how to choose one.
Coworker AI's enterprise AI governance guide: NIST, ISO 42001 and EU AI Act, plus how to stop agent sprawl, consolidate AI seats and track cost per task.
Coworker AI on build vs buy AI for the context layer: team sizes, timelines, run costs, Glean contract data and a short checklist to decide.
Coworker AI compares AI token cost for 13 models: list price, cost per task, quality score and one monthly workload. Prices checked October 15, 2026.
Coworker AI compares 10 Copilot Studio alternatives for 2026, from Agentforce and Gemini Enterprise to n8n and Zapier, with pricing and honest limits.
Glean vs Copilot, compared by Coworker AI: data sources, permissions, agents and pricing, plus a third option for Slack, Salesforce and Google teams.
Coworker AI's enterprise AI security checklist: test permission-aware access, retention, SSO, audit logs, agent approvals and MCP risk before you buy.
Coworker AI explains Snowflake MCP: what the managed server exposes, how to connect Claude, ChatGPT and Cursor, its limits and costs, and where it stops.
Coworker AI explains Salesforce MCP: the hosted MCP servers (GA since April 2026), their tools, setup in Claude, ChatGPT and Cursor, and billing.