# AI Operating System for Your Business

> An AI operating system: agents, automations, and a retrieval layer composed into one coordinated system your business runs on, not disconnected scripts.

One coordinating layer: agents, automations, and a retrieval layer composed into a system your business actually runs on, instead of a drawer of disconnected scripts.

## A drawer full of disconnected scripts
AI shows up in most companies as scattered point solutions: a chatbot here, a Zap there, a script someone wrote and left. Each works alone; none share context, oversight, or a place to see what happened.

The result is fragility and blind spots: automation no one fully understands and cannot safely extend.

## Compose, don't accumulate
We design an AI operating system: a shared context layer, a retrieval layer over your knowledge, and a set of agents and automations coordinated through one control plane with a common audit trail.

New capabilities plug into the same foundation instead of bolting on, so the system compounds in value rather than complexity.

## What we build
- **Control plane**: One place to run, observe, and govern every agent and automation in the business.
- **Shared context & memory**: A common knowledge and state layer so components reason from the same source of truth.
- **Composable capabilities**: Agents, automations, and RAG built as modules on one foundation, not silos.
- **Governance & audit**: Roles, approvals, and end-to-end logs so autonomy stays accountable.

## Stack
- **Foundation:** Agent orchestration, RAG layer, Event bus, Shared memory
- **Control:** Operator console, RBAC, Audit logs, Approvals
- **Infra:** Node.js, Python, Postgres, Cloud

## FAQ
**What is an AI operating system?**

The coordinating layer that ties your agents, automations, and retrieval into one system the business runs on, rather than a drawer of disconnected scripts, giving every automated action a shared context, audit trail, and place for human oversight.

**Do we need one system instead of point tools?**

Point tools are fine to start, but they fragment context and oversight as they multiply. An AI operating system gives them a shared foundation, so capability compounds instead of complexity.

**Can you build this on top of what we already have?**

Usually, yes. We connect existing automations and tools into the control plane and shared context layer rather than rebuilding from scratch.

**How do you keep an autonomous system safe?**

Role-based access, approval gates for high-stakes actions, confidence thresholds, and complete audit logs: autonomy with accountability designed in.

---
Canonical page: https://www.sentientarc.com/capabilities/ai-operating-system