XO provides an AI “second‑in‑command” that autonomously makes decisions, takes actions, and reports outcomes, drawing on a knowledge base built from real operator experience rather than generic training data. It integrates with existing tools—CRM, inbox, finance, and operations—by reading from and writing back to them, preserving institutional memory across staff turnover. This rule‑based system offers delegated authority for fast, experienced judgment without replacing current workflows.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations often struggle to capture and reuse the nuanced decision‑making knowledge of experienced operators, leading to inconsistent actions, delayed responses, and loss of institutional memory when staff turnover occurs.
Solution
XO provides an AI “second‑in‑command” that reads data from existing CRM, email, finance, and operations systems, applies rule‑based logic derived from real operator decisions, and autonomously makes, executes, and reports outcomes. By encoding documented precedents rather than statistical predictions, XO delivers fast, experience‑based judgment while preserving the reasoning behind each action. The platform writes decisions back into the connected tools, creating a living knowledge system that survives personnel changes and reduces reliance on ad‑hoc human judgment. XO’s orchestration layer operates additively, requiring no replacement of current software stacks.
Target Audience
Primary customers are mid‑size to large enterprises in sectors such as healthcare, manufacturing, and services that rely on complex operational decisions and need consistent, experience‑driven automation.
Features
- Rule‑based decision engine built from actual operator outcomes, not synthetic training data
- Direct integration with CRM, inbox, finance, and operations platforms for read/write access
- Autonomous execution of decisions on schedule, trigger, or contextual cues
- Transparent reporting that cites the specific precedent and cost logic behind each action
- Institutional memory layer that retains decision rationale across staff turnover
- Additive orchestration layer that augments existing systems without replacement