The PMO1 Agent Store provides a growing portfolio of specialized AI Agents designed around the functions and workflows that drive modern enterprises. Rather than starting with a blank prompt, organizations can select Agents built for specific business outcomes and deploy them within the PMO1 environment. 
From a Strategy Analyst and M&A Scout to an RFP Submission Agent, Financial Analyst, Research Agent, or Procurement Agent, the Store creates a practical path from AI experimentation to operational adoption.

The PMO1 Capability Development Kit (CDK) provides the framework and development environment for creating specialized AI Agents that operate natively within PMO1 and the PMO1 Desktop App.

Organizations can extend the platform beyond the Agents available in the Store, encoding proprietary processes, domain expertise, business rules, tools, and enterprise knowledge into purpose-built Agents.

This creates an extensible architecture in which PMO1 is not simply a catalog of AI capabilities—it becomes a platform for developing an organization’s own AI capabilities.

The most valuable enterprise processes rarely belong to a single role. A strategic decision may require market research, financial analysis, competitive intelligence, scenario modelling, and executive synthesis. An RFP may require document analysis, compliance review, pricing, drafting, and submission.

PMO1 enables multiple specialized Agents to work together as an orchestrated system. Each Agent performs a defined role while PMO1 coordinates the overall workflow, context, dependencies, and handoffs.

As organizations move from deploying a handful of Agents to hundreds or thousands, management becomes as important as intelligence.

PMO1 provides the operating layer for managing Agents across their lifecycle—from deployment and configuration through usage, monitoring, permissions, updates, and retirement.

Enterprise teams can establish which Agents are available to which users and departments, manage Agent configurations and capabilities, monitor utilization and performance, and maintain appropriate governance over the organization’s AI workforce.