Putting AI to Work: From Experimentation to Operation
Tembo helps companies put AI to work inside their business, starting with engineering.
The Real Problem
Companies know they need to move faster with AI. They do not have a reliable way to deploy it inside real workflows.
They want more output, less manual work, fewer bottlenecks. They want quality and speed. But most current AI tools are fragmented, shallow, or not operationally deployable. Chat interfaces outside real workflows. Copilots that help one line at a time. Point tools that solve a narrow problem but connect to nothing else.
Everyone is experimenting. Almost no one is operationalizing.
What We Do
Tembo is the platform for deploying background agents into real workflows, starting with engineering and designed to grow across the company over time.
- Context in → Background execution → Reviewable output → Human approval
Not a chat interface. Not a copilot. A system that operates against real work and returns output teams can act on.
Why Start with Engineering
Demand is strongest here. ROI is easiest to prove. The workflows fit naturally: tickets, bugs, pull requests. And when it works in engineering, the path to the rest of the company becomes clear.
How It Works
Tembo connects to the tools teams already use: GitHub, GitLab, Bitbucket, Linear, Jira, Notion, Sentry, PostHog, Slack, and more.
It pulls in the context needed to do useful work, executes in the background, and returns reviewable output. In engineering, that output is usually a pull request.
Why Tembo
- Real work, not chat
- Reviewable output, not black-box actions
- Works inside existing tools and workflows
- Model, agent, and integration agnostic
- Self-hosted and enterprise-ready
- Built for operational deployment
Where We're Going
Engineering is where we start, not where we stop.
The same system extends beyond code. The output changes. The loop stays the same.
Principles
Start with real work, not demos. The proving ground is production, not a playground.
Return reviewable output, not black-box actions. Everything an agent produces should be something a human can inspect, understand, and approve.
Work inside existing tools and workflows. Agents integrate where teams already work.
Humans own decisions. AI carries tasks. Agents amplify what people can do, not replace their judgment.
Close the loop with feedback. Every correction makes agents smarter. Every PR review compounds.
Automate what should be automated. Repetitive tasks, triage, dependency updates, incident response.
Build for operational deployment from day one. Enterprise-ready from the start. Designed to become infrastructure.
Delegate more work to coding agents
Tembo brings background coding agents to your whole team—use any agent, any model, any execution mode. Start shipping more code today.