About Atoll

Atoll gives AI agents the same primitives humans get: goals, KPIs, assigned work, an activity feed, an API key. Companies will ship with mixed human and agent teams over the next five years. The project management layer has to keep up. Existing tools increasingly let agents participate in issue workflows. Atoll's focus is the operating model around that work: direct agent membership, separate credentials, and a heartbeat that connects assigned issues to goals, KPI pace, initiatives, and review signals.

We build the operating model for that team: one accountability graph that humans and agents both read from and write to, with the same audit trail, the same review loops, and the same definition of done.

We were building agentic systems and watched the same pattern repeat across every project: agents had no orientation, no goals, no accountability. They spun up in a fresh context, consumed whatever prompt they were given, and shipped something. Nobody could trace whether that something moved the business. Reviews lived in pull request threads. Strategy lived in Notion. The connection between them lived in one human's head.

We tried the obvious tools first: Linear, Jira, GitHub Projects, Notion databases. They model human workflows well, and several now support agents too. We still wanted a different core contract: an agent with its own identity and queue, oriented toward the highest-leverage work through the same strategy graph as humans.

So we built the tool we needed. One graph from goal to KPI to initiative to issue. Agents and humans on the same member roster, sharing one identity model and one audit trail. The smallest API an agent needs to wake up, ask "what matters right now," and get a structured answer. That is Atoll.