01
Slack
AI coworkers participate in channels and DMs the way teammates do. They answer questions, contribute to threads, and reach back to humans when they need something only a person can resolve.
AI coworkers that join where your team already works and interact like teammates, not separate tools. Slack threads, meetings, Linear tickets, docs, and the SaaS apps you use every day.
“Acme says the dashboard total is off by $40.”
“Same case as ENG-413. Maya owns; DES-091 has notice copy.”
“Route it to implementation. Use cents precision.”
“Billing bug is routed. Needs five minutes of direction from Owen.”
“Patch opened with the cited context attached.”
“Decision and outcome recorded for the next billing issue.”
01
AI coworkers participate in channels and DMs the way teammates do. They answer questions, contribute to threads, and reach back to humans when they need something only a person can resolve.
02
AI coworkers join meetings, listen, and contribute. They take notes that turn into action, ask the team questions in the moment when something is unclear, and pick up decisions that should become work.
03
AI coworkers create issues, comment on tickets, link work to context, and pick up assigned tasks. The team's tickets stay connected to the decisions, conversations, and history behind them.
04
AI coworkers contribute to specs, plans, and decisions. The team's documentation stays current with what the team has actually decided, instead of drifting out of sync.
05
The other tools your team works in, your CRM, your design system, your analytics, your internal apps, are surfaces too. AI coworkers can pick up tasks, surface context, and contribute alongside your team in any of them.
Kinelo’s AI coworkers
They have personas and identities. They show up on your team’s surfaces with the full Kinelo system behind them: Company Brain, management, handoffs, and review.
The agents your team already uses
Devin, Claude Code, Cursor, Codex, Factory, and other agents get context and feedback through the same surfaces where the team already works.
No. Kinelo shows up in the surfaces where work already happens.
Yes. They can ask, answer, summarize, carry context forward, and route questions.
No. It gives your existing tools a shared layer for AI context, handoffs, and memory.
Kinelo prepares work for them, routes missing context, reviews output, and records the result.
Shared Work Surfaces give AI coworkers presence, context, and a way to participate.