---
title: Top 10 Requirements for Human-AI Workflow Orchestration Software
description: Top 10 requirements for secure Human-AI Agentic workflow orchestration software for networks of agentic AI coordinating actions across systems, workflows, and people.
---

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# [Top 10 Requirements for Human-AI Workflow Orchestration Software](https://www.bluescape.com/resource-library/top-10-requirements-for-human-ai-workflow-orchestration-software)

 Written by [John Greenstein](https://www.bluescape.com/resource-library/author/john-greenstein) | 5/27/26 10:23 PM

 John Greenstein, CEO, discusses why orchestration matters more than AI models. 

#### A shift in weight to what matters

The debate about which frontier model is better, faster, smarter... is somewhat pointless. At this point, the frontier model (or models) becomes only a single component in a much larger operational fabric.

The future enterprise winners will be the companies with the best collaborative orchestration layer that enables multiple humans—working with AI Agents—to make the best decisions. The *orchestration layer* becomes the true control plane.

Today, most organizations still think about AI as a tool that answers questions. In practice, enterprise AI is evolving into something much larger: networks of autonomous and semi-autonomous agents coordinating actions across systems, workflows, and people.

> Enterprise AI is evolving into something much larger: networks of autonomous and semi-autonomous agents coordinating actions across systems, workflows, and people.

Imagine a mission-planning workflow that supports strategic decision making, such as the military’s OODA (Observe–Orient–Decide–Act) loop. The flow might iterate through the following steps:

- AI agents generate heuristics and plans
- Humans review recommendations
- Individual humans—each of whom have unique privileges, systems access, and security clearances—then task unique agentic personas to run simulations in parallel and collaboratively across multiple LLMs
- Actions are then taken by independent resources, the results of which are then fed back to AI agents to re-evaluate

This value shift *away* from pursuing optimal personal super intelligence and *toward* enabling large-scale coordination of personas will require that enterprises re-write requirements for new infrastructure investments. Why? Because traditional workflow software packages assume static flows that can be mapped out with If-Then-Else logic, and those workflows can be securely executed by users with pre-determined security roles.

But agentic workflows are not predetermined, and the security around their execution is contextual.

If you are evaluating a new Human-AI collaborative orchestration solution for your organization, consider reviewing the list below.

#### Top 10 requirements for secure Human-AI Agentic workflow orchestration software:

1. Zero Trust Architecture
2. Dynamic runtime permission enforcement for Human and Agentic actors
3. Roles-based Access Control (RBAC)
4. Attribute-based Access Control (ABAC)
5. Policy engines validating every action to ensure Policy-based Access Control (PBAC)
6. Separation of execution from identity
7. Isolated execution environments 
8. Multi-modal content (that includes everything including structured data, unstructured data, images, videos, live feeds, etc.)
9. Node-centric graph builders
10. Content-centric nodes (for additional context)

Any other requirements to add to the list? Curious to hear your thoughts. Find me on [LinkedIn](https://www.linkedin.com/in/johngreenstein/) to start a conversation!

[View full post](https://www.bluescape.com/resource-library/top-10-requirements-for-human-ai-workflow-orchestration-software)

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