Management for AI coworkers. Coordination for the whole team.
Kinelo creates AI coworkers from how your team actually works, manages them like teammates, and runs the delegation, handoffs, and coordination that move work between humans and AI. The AI gets directly managed. The team gets a system that helps the work flow.
Actor routing & feedback loop
Stops piling up on the loudest, stops sitting in the wrong inbox.
Kinelo decides what work goes where. A task comes in. The management system routes it to the actor best suited to do it next: a coding agent for the change, an AI coworker for the first-pass spec review, a human for the conversation that needs a real face.
When that actor is done, or when they hit something they cannot resolve, Kinelo hands the task forward. The next actor, human or AI, picks it up where the last one left off.
Work stops piling up on the people who happen to be loudest, and stops sitting in the inbox of the person who happened to be assigned. It moves to whoever can move it next.
Kinelo manages the AI side directly. For the human side, it coordinates and offers, never assigns.
They don't start as empty harnesses.
AI coworkers in Kinelo do not start as empty harnesses you have to configure.
Because the Company Brain already knows how your team works (the projects, the workflows, the conventions, the recurring tasks), Kinelo can identify where an AI coworker would help. A new coworker arrives with the role, the skills, and the context to be useful from day one. It knows what your team does, how your team does it, and where it fits in.
It learns, adjusts, and gets sharper over time.
Once a coworker is on the team, Kinelo manages it the way you would manage a person.
- It gives the coworker the context it needs for the work in front of it
- It collects feedback from the humans and other agents the coworker works with
- It critiques output and sends work back to be revised when it falls short
- It teaches new skills as the team’s work expands
- It puts guardrails on behaviors that should not happen
- It runs performance reviews and adjusts the coworker over time
The coworker is not the same one you had a month ago. It has learned, adjusted, and gotten sharper, in the same way a person on the team would.
With personas, roles, and a place in the team's flow.
AI coworkers in Kinelo have personas and roles.
Some have standalone identities: a name, an avatar, an email address, a calendar. They appear in Slack threads and meetings the way a teammate would. Others run behind the scenes, with Kinelo speaking on their behalf when their work surfaces in the team’s flow.
Either way, the team interacts with them naturally, in the channels and tools where work already happens. The Shared Work Surfaces layer carries this through.
Devin, Claude Code, Codex, Cursor: folded in.
Not every AI your team works with comes from Kinelo. Plenty of teams already run Devin, Claude Code, Codex, Cursor, or other agents directly. Kinelo manages those too.
It routes work to them, feeds them context from the Company Brain, critiques their output, and folds them into the same handoff, feedback, and review patterns it uses for the coworkers it created itself. To the team, the agent feels like part of the system, not a separate tool to remember to use.
Kinelo can also create and manage external systems your team builds or brings in over time. The management surface is the same.
How is this different from running agents yourself?
Running an agent yourself, whether Claude, Devin, or something else, gets you the agent. You still own the setup, the prompting, the harness, the integration, the feedback loop, the improvements, and the guardrails. The agent does not learn from your team’s actual work unless you build the pipe to feed it. It does not improve unless someone is watching its output and tuning it. It does not show up in your team’s workflows unless someone wires that up.
Kinelo does that work. AI coworkers in Kinelo are set up automatically, based on actual team activity. They improve automatically, based on actual output. They show up in the surfaces the team already uses. You get the coworker, not the operational burden of running it.
Add AI coworkers your team will actually work with.
Join the teams building with AI as a teammate, not just a tool.