01 / What AI may be used
AI Governance
Establish approved model and provider choices, usage policies, privacy expectations, and accountable review.
Model access · Usage policy · Privacy · Auditability
Explore AI Governance →Platform
One Governance Layer. Three Dimensions of Control.
InfoDump sits between people, models, agents, and organizational knowledge so teams can move from scattered AI experiments to controlled, repeatable work.
Governance Layer
A public view of the control surface
Users
Brought under shared privacy, permission, ownership, and review expectations.
Models
Brought under shared privacy, permission, ownership, and review expectations.
Agents
Brought under shared privacy, permission, ownership, and review expectations.
Sources
Brought under shared privacy, permission, ownership, and review expectations.
Tools
Brought under shared privacy, permission, ownership, and review expectations.
Policy
Brought under shared privacy, permission, ownership, and review expectations.
Three governance pillars
What AI may use, know, and do.
02 / What AI may know
Context Governance
Define which enterprise knowledge AI may retrieve, who may access it, and how sensitive context and ownership are handled.
Source permissions · Retrieval boundaries · Provenance · Retention
Explore Context Governance →03 / What AI may do
Harness Governance
A harness is the runtime and controls around an agent. Define tool permissions, execution boundaries, and when people must review its work.
Tool access · Approval gates · Execution policy · Oversight
Explore Harness Governance →Data Readiness
Scan, parse, and prepare documents for governed AI
InfoDump helps turn approved files, scans, tables, and multilingual documents into structured context that AI systems can use with privacy, permission, and ownership controls intact.
Source intake
PDFDOCXCSVScansImagesEmailTablesForms
Parsing
43 languages
Layout
Text
Tables
Entities
AI-ready output
Extracted context
languagedetected
document_typeclassified
entitiesmapped
tablesstructured
permissionsapplied
Governed AI access
{
"source": "approved",
"permissions": "enforced",
"language": "detected",
"status": "ready"
}
Scan and parse
Read documents, scans, images, tables, and long-form files so AI workflows can work from usable source context instead of loose uploads.
Extract across languages
Identify key fields, entities, and structure across multilingual business content while preserving the governance expectations around each source.
Make sources AI-ready
Turn approved documents into controlled knowledge that agents and models can use with clearer permissions, ownership, and auditability.
Capabilities
The control surface organizations need when AI becomes operational
Model access control
Give teams approved paths to the models they need while keeping usage aligned with organizational rules.
Agent permissions
Make agent purpose, tools, source access, and review expectations clear before repeatable work begins.
Controlled source access
Let AI workflows use approved knowledge without turning every file, system, or dataset into open context.
Privacy guardrails
Apply privacy expectations where people, agents, tools, and models actually interact.
Auditability
Keep AI activity understandable so teams can review what happened, which boundaries applied, and what needs attention.
Model flexibility
Support hosted and local model strategies without making provider choice the only governance decision.
Integrations
Govern AI across the tools teams already use
InfoDump connects governance to approved sources, systems, models, and controls so teams can expand AI adoption without losing ownership or auditability.
Explore integrationsKnowledge sources
Collaboration tools
Business systems
Model providers
Security and identity controls
Agent Permission Simulator
See how agent access decisions change when governance conditions shift
Pick a common agent task, then adjust the permission and policy signals. The result shows how source access, sensitive data, approved model paths, and auditability shape the decision.
Agent task
Governance conditions
Current decision
Allowed with guardrails
The agent can be useful, but the workflow should stay inside approved source and model boundaries because sensitive data is involved.
Keep the task on an approved model path and preserve a clear review trail.
Controls involved
Summarize an internal strategy memo
Sensitivity: confidential
Controlled source access
User permission check
Audit trail
How It Works
A practical layer above scattered AI usage
01
Connect people, models, and sources through one governed layer
InfoDump gives teams a clearer path for using AI without pushing every decision into separate tools, personal accounts, or unmanaged workflows.
02
Define what agents can know and do
Reusable agents should carry visible boundaries around purpose, source access, allowed tools, outputs, and review expectations.
03
Keep privacy and ownership visible as adoption grows
The governance layer helps organizations preserve control as useful AI workflows spread across teams.
Built For
Teams that need AI adoption to stay explainable
Security teams defining approved AI paths
Platform teams supporting model and agent access
Operations teams turning repeated work into governed workflows
Legal and privacy teams setting data ownership expectations
Governed AI Adoption
Ready to make AI adoption easier to govern?
Discuss governance across AI models, enterprise context, and agent execution with InfoDump.