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Product Playbook · Product · Agent OS

Multi-Agent Operating System

A Multi-Agent operating system — task scheduling, sandbox isolation, memory and model assembly converged into one enterprise OS, with pre-built agents for office, finance, risk, marketing and ops.

Publisher: Global AI DAOModule ID: products/agent-osIssued: 2026-11-01

Evidence notice: cases, figures and inferred project metadata are unverified scenario illustrations, not established client outcomes, credentials or return promises. Signed contracts define scope, fees, baselines, acceptance and data responsibilities; client business data stays off-chain.

1. Key Capabilities

  • Single → Multi-Agent —— DAG / event-driven / long-running orchestration with visual business design.
  • Sandbox & Permission Isolation —— Per-agent sandbox with role-based permissions — over-reach auto-blocked.
  • Memory & Model Assembly —— Layered short/long-term memory, models dynamically assembled per task difficulty.
  • Out-of-the-Box Agents —— Office, finance, risk, marketing and ops agents — deploy and ship.

2. Representative Scenarios

Investment research collaboration · group-finance automation · risk & compliance · marketing content pipelines · IT/SRE smart ops.

3. Quantified Outcomes

85%+ first-pass success on complex tasks, 3×–10× per-person throughput, new-scenario time-to-live from months to weeks.

4. Specs & Fit

Core componentsScheduler / Sandbox / Memory / Assembly
Pre-built agents20+ industry templates
GovernancePermissions / audit / replay
ExtensibilitySDK / REST / MCP

5. Case Digest

Bank ops agent matrix

20+ standard agents cover front, middle and back office.

-45% human-touched task volume.

Marketing agent campaigns

Strategy, creative, delivery and review agents close the loop.

-70% creative time-to-live, 1.8× ROI.

Group legal contract matrix

Drafting, review, negotiation and archival agents chained; key clauses auto-compared.

-62% turnaround, -75% missed-risk-clause rate.

Global supply-chain orchestration matrix

Planning, procurement, logistics and customs agents collaborate across time zones.

-48% line-down events, -19% total logistics spend.

6. FAQ

Q. Difference from single-agent frameworks?

A. Built-in scheduler, sandbox, memory and assembly — production-grade, not a demo toolkit.

Q. How is agent runaway prevented?

A. Sandbox + permission allowlist + audit replay; key steps allow human takeover.

Q. Out-of-the-box agents?

A. 20+ templates for office, finance, risk, marketing, ops — extensible.

This playbook is auto-compiled by Global AI DAO from methodology and unverified scenario illustrations; final scope follows the signed statement of work.

© 2026 Global AI DAO · globalaidao.org · Contact us for the full whitepaper and commercial quote.

Defined scope. Accountable delivery.

Staged pricing & acceptance

Discovery, pilot and rollout have separate scope and fees. Contracts define baselines, evaluation samples, acceptance metrics and responsibility. Results are not unconditionally guaranteed.

Customer business data stays off-chain

Business records and personal data are not written to a blockchain. Confirm deployment region, model providers, access, retention and deletion in writing before work begins.

Clear contracting & delivery responsibility

Before signing, obtain and verify the legal entity, registration, jurisdiction, delivery owner and dispute terms. DAO collaboration does not replace contractual responsibility.