D
Daniel Fundi Ndaya
Enable
Managed AI Agents to manage, supervise, delegate tasks to, and collaborate with other Managed AI Agents
, similar to the multi-agent capabilities associated with platforms like Grok Bot.
Instead of each AI agent operating independently, HighLevel should support
entire AI teams with organizational hierarchies
, where agents can coordinate, communicate, and execute complex projects together.
Proposed Features
  1. Agent-to-Agent Communication
  • Agents can communicate directly with other agents.
  • Share information, files, context, and task progress.
  • Request assistance from specialized agents.
  • Collaborate on shared projects and objectives.
  • Maintain shared conversations and team workspaces.
  1. Agent Hierarchies & Management
Allow users to create organizational structures such as:
CEO (Human) → AI Operations Manager → AI Team Leaders → Specialized AI Agents
Manager agents should be able to:
  • Assign and delegate tasks to subordinate agents.
  • Coordinate multiple agents simultaneously.
  • Monitor progress and performance.
  • Review and validate completed work.
  • Reassign tasks when agents encounter problems.
  • Escalate issues requiring human intervention.
  1. Autonomous Team Execution
Users should be able to assign a single objective to an AI manager.
For example:
"Launch our new product."
The AI manager automatically:
  1. Creates a project plan and breaks it into tasks.
  2. Delegates research to the Research Agent.
  3. Assigns content creation to the Content Agent.
  4. Assigns landing page development to the Website Agent.
  5. Assigns campaigns to the Marketing Agent.
  6. Coordinates dependencies and reviews deliverables.
  7. Reports progress and results to the user.
Agents should be capable of working
simultaneously or sequentially
, depending on task dependencies.
  1. Dynamic Agent Creation & Delegation
  • Manager agents can recommend or create specialized subagents when necessary.
  • Automatically select the most suitable agent for each task.
  • Reuse existing agents and their skills.
  • Support temporary agents for specific projects.
  • Allow agents to request additional tools, skills, or permissions, subject to approval.
  1. Shared Memory & Knowledge
  • Shared team knowledge bases and project context.
  • Individual agent memory and specialization.
  • Automatic handoffs between agents.
  • Persistent project history and decisions.
  • Permission-controlled access to shared resources.
  1. Collaborative Workspace in the GHL Mobile App
Introduce a dedicated
AI Teams
section within the Managed Agents mobile experience.
Users should be able to:
  • View their AI organizational hierarchy.
  • Chat with individual agents or entire teams.
  • Assign objectives to AI managers.
  • View agent-to-agent conversations and task assignments.
  • Track projects, dependencies, and execution progress.
  • Approve actions and resolve escalations.
  • Receive notifications when agents complete tasks or need assistance.
  1. Governance & Human Oversight
  • Configurable agent management permissions.
  • Approval requirements for sensitive actions.
  • Execution logs and agent accountability.
  • Task budgets and resource limits.
  • Ability to pause, stop, or override any agent.
  • Protection against unauthorized delegation or infinite agent creation.
Example AI Organization
Human Business Owner
  • AI Chief Operating Officer
- AI Sales Manager
- Lead Generation Agent
- Appointment Booking Agent
- AI Marketing Manager
- Content Creation Agent
- Advertising Agent
- Social Media Agent
- AI Customer Success Manager
- Support Agent
- Onboarding Agent
The business owner gives instructions to the AI COO, which coordinates the other agents and reports results.
Why This Matters
HighLevel already offers Managed AI Agents, workflows, CRM data, and integrations. The next evolution should be enabling these agents to operate as
coordinated AI organizations rather than isolated assistants
.
This would allow businesses to delegate entire business functions—not just individual tasks.
The ultimate vision: One human manages an AI executive, the AI executive manages AI teams, and those teams collaboratively execute business operations inside HighLevel.