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Integrations

Govern AI across the tools teams already use

InfoDump connects AI governance to the sources, systems, models, and controls that shape everyday work, so adoption can expand without losing privacy, ownership, or accountability.

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Integration Posture

Sources

Connected through shared privacy, access, ownership, and review expectations.

Systems

Connected through shared privacy, access, ownership, and review expectations.

Models

Connected through shared privacy, access, ownership, and review expectations.

Policy

Connected through shared privacy, access, ownership, and review expectations.

Coverage Areas

Current and upcoming integration areas

Knowledge And Files

Available and configurable

Give AI workflows controlled access to approved documents, drives, datasets, and file storage without turning every source into open context.

Google DocsInfoDump DriveLocal filesDatasetsS3Google Cloud Storage

Work And Collaboration

Available and expanding

Support governed work around the places teams already coordinate, review, assign work, and share operational context.

Jira / AtlassianTelegramSlackWhatsApp

AI Providers

Available and expanding

Let teams use approved hosted and self-hosted model strategies while keeping provider choice inside a governed adoption path.

OpenAIGoogle GeminixAI GrokPerplexitySelf-hosted LLMsCustom endpoints

Industry And Operational Sources

Configurable by deployment

Bring source boundaries, permissions, and audit expectations to specialized data sources used by domain teams.

Energy market dataGeoscienceUpstreamMidstreamDownstreamHealth and diagnostics

Custom Integrations

Configurable by deployment

Connect organization-specific systems through governed source access, approved API paths, and visible review expectations.

Custom APIsPrivate systemsApproved source connectorsOrganization-specific workflows

Security And Identity

Configurable by deployment

Align connected AI workflows with organizational expectations for identity, roles, source boundaries, policy enforcement, and auditability.

Identity providersRole-based accessAudit systemsPolicy controls

Governance Layer

Integrations should make AI safer to operate, not harder to govern

Controlled source access for approved AI workflows

Permission-aware usage across connected tools

Clear boundaries around what agents can know and do

Audit-ready records for review and accountability

Governance that follows teams across models, systems, and sources

Connected Governance

Ready to make AI adoption easier to govern?

Talk with InfoDump about privacy, policy enforcement, AI usage monitoring, and data ownership before unmanaged workflows become the default.

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