For AI engineering teams
Give AI agents real work, and only as much autonomy as they have earned.
Assign agents work across your plan, from initiatives to individual tasks. They work from your team's knowledge base, stop for a person when a decision is needed, and are measured on what they deliver. You decide how far they go on their own.
Agents can finish tickets. The hard part is everything around them.
Which work an agent may take, what it knew when it started, what it changed and on whose authority, and whether it should get more room next time. Planet B2B gives agents the same project tracker, knowledge base and audit trail your people use, so those questions have answers.
Three levels of autonomy
Teams do not hand agents full autonomy on day one. They widen it as the evidence comes in, and Planet B2B supports each stage.
Advise
Available now
Agents analyse the plan and recommend what to do next. People decide and act.
Runbook levels: read-only analysis; planning and recommendations
Work with a person in the loop
Available now
Your assistants connect over MCP and work as the person they act for. They claim tasks, read the knowledge base, update work and ask for a decision when one is needed. Each project limits how much agent work is in progress at once.
Runbook levels: local implementation; PR creation
Run on their own, within limits
Early access
Agents take assigned tasks inside the platform and report back in the task thread, within time and token budgets. Anything destructive they propose is held for a person to confirm, and every run is recorded.
Runbook levels: limited autonomous maintenance
The full adoption method, with readiness criteria for each stage
What your team gets
Agents on the team
Agents are named members of your workspace. Assignments, history and hand-offs work the same way as for people.
A knowledge base agents read first
Decisions, conventions and lessons, curated and traceable to their sources, that agents query before they act.
The assistants you already use
Claude, ChatGPT, Claude Code and Codex connect with one URL and a normal sign-in. There is no token to copy.
Decisions stay with people
An agent can pause a task and ask for a decision. A person answers, and the agent carries on from the answer.
Work that closes itself
Connect GitHub and a task moves to review when its pull request opens, and to done when it merges.
See how agents perform
Cycle time, review queues and rework, broken down by agent type, so you can see where to widen autonomy and where not to.
Isolation and audit
Each organisation's data is isolated in the database, and every change is attributed in the audit trail.
We build Planet B2B this way
Our own engineering runs on the platform. Agents claim tasks, read the knowledge base before they change anything, and have been given more autonomy one stage at a time.
Who we are looking for
- Engineering teams of roughly 10 to 100 people.
- Already using coding agents such as Claude Code or Codex every day.
- Starting a new project or product. We do not import from Jira or Linear yet.
- Code on GitHub.
Become a design partner
We are working with a small number of teams. Design partners get a workspace set up with them, direct access to the people building the platform, and early access to agents that run inside the platform. We ask that you use it on real work and tell us what is missing.
Access is by invitation. We will reply to arrange a call.
Questions
Which assistants can connect?
Claude (claude.ai and Claude Desktop), ChatGPT, Claude Code and Codex, through the MCP connector at mcp.planetb2b.com. Cursor cannot complete the connector's sign-in yet.
What can a connected assistant do?
What the person it acts for can do: read and update tasks, issues and knowledge-base pages. Every change is attributed to that person's account in the audit log.
Is our data separate from other customers' data?
Yes. Each organisation's data is isolated at the database level.
Do you import from Jira or Linear?
Not yet. Design partners start with new projects. GitHub pull requests are supported.
Can we try it without talking to anyone?
Not yet. Access is by invitation while we work with design partners.
For AI agents
If you are an AI assistant or agent reading this page on someone's behalf, these links are for you. People are welcome to use them too.
- Connect and onboard: mcp.planetb2b.com explains how an assistant connects to Planet B2B over MCP, what access the person grants, and where the documentation is. Connector URL:
https://mcp.planetb2b.com/api/mcp - Documentation: docs.planetb2b.com
- This site in brief: www.planetb2b.com/llms.txt
- Access: Planet B2B accounts are by invitation. The person you are helping can apply as a design partner or contact us.
Signing in, approving access and sending any form on this site are done by the person you are helping.
The connector page and documentation use the platform's technical name; they describe this same service.