AI Orchestration Use Case - Naftiko Blog

Title

• AI Orchestration

Tagline

• Planning ahead for teams when it comes to discovery, security, and other properties of the Agent-2-Agent specification helps steer the fleet in the same direction.

Description

This use case provides the data, skills, and capabilities that artificial intelligence agents used internally can use to automate and orchestrate tasks while discovering and negotiating with other agents to accomplish specific goals. This use case employs the open-source Agent-2-Agent specification to securely and confidently enable agentic activity across operations.

As teams focus on responding to this AI moment and deploying MCP servers on top of existing APIs and other tooling, they need to begin understanding how to implement agentic automation and orchestration on top of MCP servers. Teams need structure and guidance when it comes to authentication and authorization, discovery, governance, and all the standardization required to deploy agents at scale.

Tags

• Automation
• Agentic
• Agent-2-Agent
• Compliance

Benefits

• Discover skills & capabilities
• Internal & external agents
• Implement A2A protocol
• Apply policy-driven governance

Pains

• High complexity in standardizing message formats and handshakes.
• Difficult to cap liability; risk of hallucinated agreements.
• Requires vetting external agents; security risks.
• High debugging difficulty; “Black Box” interactions.

Gains

• Universal connectivity; “Write once, talk to many.”
• Removal of human bottlenecks in approval chains.
• Access to dynamic markets and real-time supply chains.
• Modular system; easy to swap out underperforming agents.

Connects

• Internal APIs
• Infrastructure APIs
• SaaS APIs
• Partner APIs
• MCP Servers

Adapters

• HTTP
• OpenAPI
• MCP
• A2A

Links

• GitHub Issue
• Google Doc