Team AI Assistant

Give every teammate their own OpenClaw — private conversations, shared knowledge base, one tool the whole team actually uses.

The problem: your team keeps answering the same questions

New hires ask the same onboarding questions for the first month. Engineers dig through Confluence, Notion, or the company wiki every time they need to remember a deployment step. Product managers rewrite the same sprint update every Friday. Support engineers paste the same runbook links over and over. Everyone is context-switching between Slack, docs, ticket trackers, and dashboards — burning hours that should go toward actual work.

The OpenClaw approach: a personal agent for each teammate, wired to shared knowledge

OpenClaw is an AI agent you can deploy per person while keeping a shared knowledge base and toolchain. Each teammate gets a private chat where their context, drafts, and history stay theirs. The same agent, configured across the team, reads from your wikis, docs, tickets, and code so the answer is always grounded in your reality — not the public internet.

How it works

1. Stand up one OpenClaw instance per teammate. Managed via OpenClaw Cloud or self-hosted, whichever your ops team prefers.
2. Install the integrations that matter. Connect Slack, Notion, Confluence, Google Workspace, Jira, Linear, GitHub, PagerDuty — whatever your team actually lives in.
3. Point at the shared knowledge base. OpenClaw indexes your internal docs so every answer cites a real source inside your company.
4. Let it handle the repetitive work. Onboarding answers, status updates, runbook lookups, decision summaries — all in natural language, all available on day one.

Example workflows

• "How do I deploy to staging? Walk me through our exact process, including the approval we need and where the dashboard is."
• "Draft this week's sprint update. Pull open Jira tickets, recent merged PRs, and Slack discussions from the #eng-standup channel."
• "Summarize the last three product decision docs and highlight where they conflict with the Q2 roadmap."
• "When a new hire is added to the #welcome channel, DM them a tailored onboarding checklist based on their role and team."
• "Triage #oncall pages from overnight. Group by service, link to the runbook, and flag anything that looks like a known incident pattern."

What you get out of it

• A single place to ask. "What is our deploy flow?" becomes one message, not a 45-minute Confluence quest.
• Institutional memory, searchable. Decisions, architecture notes, and past incidents are grounded in real docs and always one question away.
• Less busywork. Sprint updates, status notes, and onboarding messages get drafted for the authors, not from scratch.
• Private per person, shared where it counts. Individual chats stay individual. The knowledge base and tool access stay shared.

Skills and integrations you'll want

• Slack, Microsoft Teams, or Discord for conversation surface.
• Notion, Confluence, Google Docs, or your internal wiki for the shared knowledge base.
• Jira, Linear, or GitHub Issues for task and roadmap context.
• GitHub for code-aware answers.
• PagerDuty or Opsgenie when on-call context matters.

Pricing fit

Teams typically land on the larger OpenClaw Cloud tier — more memory, more concurrent work, priority throughput — when running one agent per teammate with a shared knowledge base. Solo founders and 2–3 person teams often start on the standard plan from $19.9/mo and upgrade when they start indexing more of the wiki.

Ready to try it?

Spin up OpenClaw Cloud for one teammate, connect Slack and your wiki, and see how it answers the first "how do we do X?" question. Roll out to the rest of the team once the shared knowledge base is wired and the onboarding answers are landing clean.