AI Agents
Subterra runs hundreds of autonomous agents that start work on their own — monitoring, researching, and moving tasks forward without waiting to be prompted. A coordinating agent routes the work and checks with your team before anything consequential happens.
Best fit for
- Teams with multi-step workflows that involve research, documents, or system-to-system coordination
- Organizations exploring where agent-based AI can reduce operational drag
- Use cases where progress matters more than a one-off answer
Ads Manager · detected a 22% CPA spike — investigating
In short
Most AI tools wait for a prompt. Subterra runs hundreds of autonomous agents that start work on their own — and bring a person in to confirm before anything consequential happens.
A network of autonomous agents that monitor your systems, take initiative on recurring work, and coordinate through a lead agent — pausing for human approval at the decisions that matter.
Outcomes
What changes for the team.
Work that starts itself
Agents monitor for what needs doing and begin on their own, instead of waiting for someone to open a chat and prompt them.
Coordinated, not chaotic
A lead agent routes tasks across specialist agents and tools, so hundreds of jobs move forward in parallel without stepping on each other.
You stay in control
Agents pause and ask for confirmation before anything consequential — spend, sends, or sensitive changes — so autonomy never means surprises.
Approach
How we deliver it.
We usually scope agentic work around one high-value workflow first, then harden and expand after the initial production loop is stable.
- 01
Proactive, scheduled, and event-driven
Agents trigger themselves on a schedule, on incoming events, or when they detect something worth acting on — no human prompt required to begin.
- 02
Tool-connected specialists under one coordinator
Each agent owns a domain — ads, outreach, proposals, finance, research — and uses the right tools, while a lead agent delegates and assembles the results.
- 03
Human confirmation at the decision points
Approvals, escalation, and full logging are built in, so the fleet stays inside your rules and asks before it acts.
FAQ
Common questions.
How is this different from a chatbot?
A chatbot waits for you to type a prompt. Subterra’s agents are proactive — they monitor, schedule, and trigger their own work, then bring a person in only to confirm. You manage outcomes, not every keystroke.
If agents act on their own, how do we stay in control?
Every consequential action runs through an approval checkpoint, with escalation paths and full logging. Agents research, draft, and prepare autonomously, but they ask before they spend, send, or change anything sensitive.
How many agents can run at once?
Subterra coordinates fleets of hundreds of agents in parallel through a lead “CEO” agent that delegates work and consolidates results, so throughput scales without losing oversight.
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