Common challenges with managing a Fabric and Power BI estate:

• Sprawling, duplicated reports and semantic models built up over years of self-service BI

• Manual inventories and spreadsheets that go stale the moment they're finished, with no lineage or controls

• Escalating capacity costs from conflicting refresh schedules, oversized workspaces, and redundant compute

• Semantic models that AI and large language models cannot reliably reason over

• No clear view of what to keep, retire, or migrate when moving from Power BI to Microsoft Fabric

• Missing documentation and tribal knowledge that leave new team members and auditors stuck

Fabric Lens gives you two things every Fabric and Power BI estate needs: advanced model analytics, and an object catalog with an AI-powered wiki. Scans run nightly across your tenant, so every morning your team starts with a fresh, complete view of the estate — not a six-month-old spreadsheet.

Build a complete catalog of your BI estate. Fabric Lens automatically inventories every workspace, report, semantic model, measure, notebook, lakehouse, warehouse, and third-party connection in your tenant — a single source of truth for what exists today.

Surface duplicates and consolidation candidates with AI-powered analytics. Model overlap, report overlap, and measure convergence analyses use semantic, physical, and weighted similarity scoring to flag redundant content. For duplicated measures, Fabric Lens proposes AI-generated DAX you can use to collapse them into a single parameterized version.

Auto-document your semantic layer. Every model can generate its own plain-English documentation on demand, building a searchable Documentation Hub — the encyclopedia your estate never had. New team members onboard faster, audits move quicker, and your semantic layer becomes one an AI can actually trust.

Identify opportunities to reduce capacity costs and right-size workspaces. Refresh Schedule visualizations expose the conflicting refreshes that drive peak capacity consumption. The Activity Overview shows how compute is consumed across workspaces, so you can spread load, retire unused workspaces, and reclaim capacity.

Plan modernization with end-to-end lineage. Trace lineage from the underlying Lakehouse table, through every semantic model and measure, out to the reports and users that depend on it — enabling confident change management and a low-risk Power BI to Fabric migration.

Encode your governance standards. Customizable Rule Packs and the Lens Score let you define what a well-governed model looks like and continuously score every artifact against that standard. Best-practice rules ship out of the box.

Access extended usage trending and expert advisory. Fabric Lens retains Activity Log data beyond Microsoft's 30-day window for multi-month usage analysis, and every subscription includes monthly advisory hours with Sullexis experts.

Built for the agents that are coming next. The same metadata that lets your team see across the estate is what AI agents need to be useful. Fabric Lens is designed to expose its catalog and context through a Model Context Protocol (MCP) server so Power BI Copilot, AIDA-style assistants, and other agents can connect directly and reason over your semantic layer with grounded context. The work of cleaning up the estate today is also the work of preparing it for agents tomorrow.

Deployed inside your Azure subscription and using read-only Microsoft administrative APIs, Fabric Lens analyzes only metadata and usage telemetry — your business data never leaves your tenant.