Connect data and systems
Connect enterprise content, applications, tools, workflows, and state changes through APIs, MCP, and events.
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Enterprise Agent Foundation
Enterprise Integration & Deployment
Bring agents into existing systems—not another isolated stack.
Connect existing enterprise data, tools, and workflows through Agent Skills, APIs, MCP, and events, with deployment aligned to data, security, compliance, and operational boundaries.
How It Works
Turn enterprise capabilities into governed agent action.
Integration goes beyond connecting endpoints. Inputs, outputs, permissions, context, and write-back must be explicit so the runtime can orchestrate reliably.
Package Agent Skills
Organize enterprise operations as reusable capabilities with explicit inputs, outputs, permissions, and boundaries.
Execute under governance
The runtime combines identity, context, and task plans to invoke capabilities and record consequential outcomes and exceptions.
Deploy to enterprise boundaries
Choose public-cloud, private-cloud, or hybrid deployment according to data, security, compliance, and operational needs.
In Production
Its role inreal enterprise work.
Bring agents into existing operations
Connect existing data, tools, and events so agents can read state, act, and write outcomes within current systems.
Reuse each integrated capability
Package enterprise operations as governed skills reusable across tasks and agents instead of repeatedly customizing endpoints.
Change models without rebuilding business connections
Preserve context, skills, connectors, and evaluations independently so business workflows survive and can be revalidated when models change.
Validation & Guardrails
Integration must remain governable and adaptable.
Enterprise systems, permissions, and models keep changing. Connections, skills, context, and evaluations must remain maintainable assets and undergo regression after change.
Explicit data boundaries
Define where data is accessed, processed, stored, and written back instead of applying one deployment model everywhere.
Regression after change
Revalidate consequential tasks and skills after interfaces, permissions, or business workflows change.
Fault isolation and rollback
Monitor, rate-limit, and version connectors and skills independently so external failures are contained and execution can return to a validated version.
Connected Technology
Every capability,working as one system.
Models, context, runtime, and enterprise foundations work together to move agents from understanding to reliable action.
01
GEA Architecture
Long-Horizon Agent Runtime
Keep work moving toward long-horizon goals and outcomes.
Learn more02GEA Architecture
Context System
Turn enterprise knowledge into durable memory agents can understand and use.
Learn more03Enterprise Agent Foundation
Security & Governance
Keep every action within identity, access, and accountability boundaries.
Learn moreTechnical questions
Understand the mechanism, boundaries, and production requirements.
01
What roles do APIs, MCP, and Agent Skills play?
APIs provide system capabilities, MCP exposes tools and resources to agents through a standard interface, and Agent Skills additionally package business intent, inputs, outputs, permissions, operating boundaries, and failure handling. They can work together rather than replace one another.
02
How do agent tasks survive changes to existing systems or interfaces?
Connectors and skills require versioning, contract tests, and regression of critical tasks. Changes to inputs, outputs, permissions, and exception handling are validated before a staged switch so infrastructure changes do not silently break production work.
03
Where should an enterprise integration project begin?
Start with a task that has clear value, bounded systems, and measurable outcomes. Define the data to read, actions to permit, identity and access, and write-back location, then integrate within a limited scope and expand only after critical-task regression passes.
Ready when you are