Solution Explorer

Document intelligence solution architecture

Five layers, from the repositories where documents live to the agents and apps that put their contents to work.

Match the diagram to your stack

Cloud providers
Consumption platforms
Enterprise context
Enterprise AI Providers
Document sources

Consumption

Microsoft Azure

Applications

Power BITeamsSharePoint

Agents & Automation

CopilotFoundry AgentPower Automate

Google Cloud

Applications

Looker StudioGoogle Workspace

Agents & Automation

Gemini EnterpriseLookerCustom agents

xMentium

Crosscheck

Enterprise Context

Microsoft IQ

Fabric IQ

Data agentsOntologiesSemantic modelsOneLake

Foundry IQ

Azure AI Search

Google Cloud

Data Agents

Data Agents

Knowledge Catalog

Context GraphBusiness Semantics

Looker

Semantic Layer

Google Cloud Lakehouse

BigQueryCloud StorageApache Iceberg

Databricks

Genie

Genie AgentsGenie Ontology

Unity Catalog

Metric viewsTables & volumes

AI Search

Snowflake

Cortex AI

Cortex AgentsCortex AnalystCortex Search

Horizon Catalog

Horizon ContextSemantic views

Data storage

Tables & Stages
Structured data + Faceted indexes + Enriched Content + Entitlements + Provenance

xMentium Document Intelligence

xTract

Document-to-data enablement

Extracts, structures, validates and enriches content.

Inference

Enterprise AI Providers

Microsoft Foundry

GPTClaudeNemotron

Google Model Garden

GeminiClaudeDeepSeekNemotron

Amazon Bedrock

GPTClaudeNovaNemotron
Documents
read in place, with existing permissions

Document Sources

SharePointSharePoint ServerNetwork drivesGoogle DriveOpenTextBoxOther Repository

Governance

Microsoft PurviewGoogle Cloud Knowledge CatalogData governance, security and compliance across all layers