Your Google Workspace is Missing From Your Compliance Record

AI tools are already being used to search, summarize, and analyze information across investigations and compliance workflows.

The problem is not access to AI. It is how AI connects to your enterprise data.

Most approaches today rely on exporting data into external tools or connecting AI through plugins layered on top of existing systems. That may provide access, but it introduces duplication, weakens governance controls, and forces teams to validate results outside the system of record.

This is where workflows begin to break down.

This is not a plugin model

Arctera AI Converge takes a fundamentally different approach.

Instead of extending external AI tools into the archive through plugins or connectors, AI Converge establishes a direct, governed interface between AI and enterprise data.

At the core of this capability is the Model Context Protocol (MCP).

MCP provides a standardized way for AI tools to query and operate on governed data in place—without moving, duplicating, or exposing it outside the system of record.

This is not an integration layered on top of your archive.

It is the interface that defines how AI interacts with your enterprise data.

Why this approach matters

Most plugin-based approaches extend AI into enterprise tools. That works for access, but it does not solve for control.

When AI operates outside the system of record, organizations take on additional risk. Data is moved or duplicated, governance must be re-applied at each integration point, and results often need to be validated back in the archive. This introduces friction, inconsistency, and gaps in auditability.

Arctera AI Converge takes a different approach.

By connecting AI directly to governed enterprise data, control is preserved at the source. Identity, permissions, retention policies, and audit trails are applied automatically, without requiring additional enforcement layers.

This has a direct impact on how teams operate:

• Risk is reduced because data never leaves the governed environment
• Auditability is preserved because every interaction occurs within the system of record
• Operational effort is lowered by eliminating the need to move and revalidate data
• AI can be scaled safely without introducing new governance gaps

The result is not just better integration—it is a more reliable way to use AI within compliance and investigation workflows.

How it works in practice

AI Converge exposes governed enterprise data through a controlled interface that AI tools can use directly.

This allows AI to:

• Query communications and content in place
• Analyze data within its full context
• Generate outputs grounded in governed records

All access is enforced through existing permissions, retention policies, and audit controls.

There is no data movement. No duplication. No secondary environment to validate.

AI operates directly on the same data your compliance and investigation workflows rely on.

What this looks like in practice

A reviewer can use AI to explore a dataset directly against governed enterprise data.

They can ask questions, generate summaries, and identify relevant information without switching systems or exporting data. The results are grounded in the same data used for compliance and investigation workflows.

For teams that want to move quickly, this can also take the form of a purpose-built Legal AI solution that is already connected to governed data—providing a turnkey way to begin working with AI without building custom integrations.

See how this works in practice:

What this enables

This changes the role of AI in enterprise workflows.

Instead of operating as a separate layer that requires validation, AI becomes part of the system of record.

• Analysis, validation, and action occur in one environment
• Context is preserved across every step
• Governance is applied consistently without additional controls

Most importantly, this establishes a foundation for how AI can be used going forward.

You are not just enabling AI access to data—you are defining how AI operates on governed enterprise information.

A new foundation for AI in enterprise workflows

As organizations expand the use of AI across compliance, legal, and investigation workflows, the ability to connect intelligence directly to governed enterprise data becomes foundational.

Arctera AI Converge represents a shift from integrating AI into existing systems to defining how AI operates within them—securely, consistently, and at scale.

This provides a durable foundation for AI adoption—one that allows organizations to adapt as tools evolve, without rebuilding their governance model or moving their data.