Layer 01
Personal assistant for each teammate
Every operator keeps private working memory, personal defaults, and teammate-level assistance instead of competing for one shared chat window.
One company brain, teammate-level assistants, and routines that keep software work moving.
Automa is designed to help software teams operate across multiple projects, interfaces, and AI execution paths without losing the thread of what is happening. It was built inside LOJI first, then shaped in real client delivery before being opened up to the public so more teams can direct AI agents instead of drowning in implementation sprawl.
The deepest user interaction happens during planning. Teams work at the task level, shape the execution plan, and then let agents carry more of the implementation, review, and follow-through.
Those agents are reachable through Slack, live voice, calendar-linked meeting flows, and other interfaces, which lets Automa operate more like a teammate embedded in the organization than a separate system people have to remember to visit.
Layer 02
One shared operational brain
Company context, project knowledge, and active work stay connected so the team stops re-explaining the same state across meetings, tools, and prompts.
Layer 03
Routines that keep work moving
Recurring work, follow-ups, summaries, and coordination loops can run automatically instead of depending on who remembered to ask.
Feature surface
The architecture is visible in the product features.
Those features are not cosmetic. They reflect a planning-first system where users direct work at the task level and agents execute with deeper engineering visibility.
Planning-first task boards
Most of the real work happens at the task level. Automa gives one place to shape the plan, assign ownership, and keep execution aligned before it fans out across people and agents.
Routines that keep momentum alive
Recurring follow-up, summaries, approvals, and operational loops become routines so the business keeps moving between meetings instead of waiting on a re-ask.
Documents and knowledge tree
Playbooks, decisions, and project knowledge live in one structure connected to the tasks and routines that use them, so the operating model is legible — not tribal.
Distributed AI execution
Automa routes work through Claude, Codex, APIs, and developer machines so execution lives where the repos, credentials, and tools already are — not stuck on one laptop.
Slack-native and voice access
Automa shows up as a teammate inside Slack and over live voice so people across the org can direct work from the interfaces they already live in.
Approvals and stakeholder visibility
Reviews, approvals, and client-facing visibility stay inside the system so oversight does not turn into side-channel work that breaks the flow.
Execution model
Context enters once, execution fans out where it belongs.
Inputs
Slack teammate access, calendar integration, Fathom meeting ingestion, live voice agents, dashboard chat, Telegram, MCP clients
Orchestration
Shared memory, planning phases, task routing, approvals, notifications, routines, PR review, security review
Execution
Claude, Codex, API tasks, human teammates, and repeatable follow-up loops with read access to databases, logs, and errors from one operating layer
Built inside LOJI
This was built for live workflows, not invented for a landing page.
LOJI created Automa to improve its own workflows and then used it alongside clients to build faster and direct larger amounts of execution. The point was not to remove people from the system. It was to move them up into coherent direction inside the system.
We still believe an engineer should keep tabs on the system. If your organization does not have that person in place yet, LOJI can partner with you while you put Automa to work.
Built inside LOJI first
Automa was created by LOJI for its own workflows, where product engineers needed a stronger operating layer for context, tasks, routines, and AI execution.
Used with clients to deliver at larger scale
We used it inside client work to build faster, coordinate better, and deliver value at a scale that would have been harder to manage with traditional operating habits.
Now being opened to the public
What started as an internal operating advantage is now something we want to offer to your organization and your people so more businesses can benefit from the same leverage.
Capabilities
Designed for software-team operations, not one-off prompting.
This is why the system reaches into planning, review, database context, logs, and errors instead of stopping at chat.
Work across the interfaces your team already uses
- Slack teammate integration
- calendar integration
- Fathom meeting ingestion
- live voice agents
- dashboard chat
- Telegram
- MCP for coding agents
Plan and review at the task level
- full planning phases around each task
- unified task boards
- automated PR reviews
- automated security reviews
- human approvals and notifications
Operate with engineering-grade context
- Claude and Codex task harnesses
- workspace-scoped knowledge retrieval
- read access to databases for questions and build context
- logs and error visibility
- routine execution
- organization and workspace separation
- managed hosting first
- self-hosted option for higher-trust teams
- concierge onboarding with founder-led calls
Concierge onboarding
Sold per company. Onboarded by the people who built it.
Automa is sold on a per-company basis. We meet with your team, build the custom integrations you need, and scope onboarding and pricing to your org. Managed hosting now, self-hosted for higher-trust deals.
See how Automa comparesBook an architecture call
If you are evaluating Automa for your software team, send your email and a short note. We will set up a call to walk through fit, integrations, and onboarding.