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Enterprise Agent Foundation

Enterprise Integration & Deployment

Bring agents into existing systems—not another isolated stack.

Expose existing enterprise data, tools, agents, and workflows as governed capabilities through APIs, MCP, A2A, and events. Agent Factory packages them as reusable skills, with deployment aligned to data, security, compliance, and operational boundaries.

How It Works

Turn enterprise capabilities into governed agent action.

The integration layer turns enterprise systems into stable, governed, maintainable capability contracts. The Long-Horizon Agent Runtime uses the Harness to select and run them within each task.

01

Connect data and systems

Connect enterprise content, applications, tools, workflows, and state changes through APIs, MCP, and events.

02

Package Agent Skills

Organize enterprise operations as reusable capabilities with explicit inputs, outputs, permissions, and boundaries.

03

Define interoperability contracts

Use MCP, A2A, and versioned interfaces to define discovery, invocation, handoff, and failure handling across agents and systems.

04

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.

01

Bring agents into existing operations

Connect existing data, tools, and events so agents can read state, act, and write outcomes within current systems.

02

Reuse each integrated capability

Package enterprise operations as governed skills reusable across tasks and agents instead of repeatedly customizing endpoints.

03

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.

How We Measure

01

Connection success

02

Cross-system task completion

03

Capability-contract regression

04

Change recovery

Boundaries & Guardrails

01

Explicit data boundaries

Define where data is accessed, processed, stored, and written back instead of applying one deployment model everywhere.

02

Regression after change

Revalidate consequential tasks and skills after interfaces, permissions, or business workflows change.

03

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.

Technical questions

Understand the mechanism, boundaries, and production requirements.

01

What roles do APIs, MCP, A2A, and Agent Skills play?

APIs provide system capabilities, MCP exposes tools and resources through a standard interface, A2A supports capability discovery, handoffs, and collaboration between agents, and Agent Skills package business intent, inputs, outputs, permissions, operating boundaries, and failure handling. Together they form interoperability contracts 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

Bring this technology intoyour enterprise AI architecture.