Maps how the business actually runs
Your core processes, owners, and steps live in one place — so improvement work, automation, and delegation all start from the real process, not a guess about it.
The AI Operating System
Who it's for
Product demo
A walkthrough of the operating view: processes, dashboards, accountability, and agents working from the same foundation.
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Your core processes, owners, and steps live in one place — so improvement work, automation, and delegation all start from the real process, not a guess about it.
Data sources and organization memory give every dashboard, chat, and agent the same approved context, scoped by who is allowed to see what.
Financial, sales, adoption, and accountability dashboards show each person what they own, what is drifting, and what needs attention next.
Because the operating system knows your processes, owners, and policies, agents like Operator and MyAgent can act inside real boundaries instead of free-floating in a chat window.
Bring in the systems, documents, and data your team already uses. AiOS organizes them as governed data sources with clear ownership and access.
Lay out the handful of processes that run the business — sales, delivery, finance, service — with owners and the steps that matter.
Each role gets a view built around their decisions: what changed, what is stuck, and what deserves attention this week.
Agents read the same processes and data (within policy), draft, execute, and report back — so leverage compounds on a shared foundation.
Leadership ran the business from a patchwork of spreadsheets, chat threads, and weekly status meetings. Every number had three versions, and nobody could answer a simple question — what is stuck, and who owns it — without a round of follow-up.
The company mapped its core processes into AiOS, connected the data sources behind them, and gave each leader a dashboard built around their decisions. MyAgents and Operator were then pointed at that same foundation, so AI work landed on real processes with real owners.
Work runs under your company's identity, permissions, and approval policies — with Super Amplify's SOC 2 Type I and Type II audited controls behind it.
AiOS did not clean up the company's data on its own; the first weeks exposed inconsistent process definitions and numbers nobody could source. Budget for that cleanup. The payoff starts once leaders trust the single view enough to stop maintaining their private spreadsheets.
Anonymized example based on real Super Amplify delivery patterns. Outcomes depend on scope, data quality, and team readiness.