Leadership approved the budget. The board is watching. And your data isn't ready for a single agent. You have the AI strategy deck. You have the executive sponsorship. You might even have the vendor contracts.
What you don't have is a unified catalog, lineage tracking, or an access control layer that works across your legacy systems, your cloud platforms, and the infrastructure you inherited from your last three acquisitions. Deploying agents on ungoverned data isn't innovation — it's negligence.
Every M&A you've done left behind another set of orphaned schemas and undocumented ETL pipelines. You're still finding systems from the 2019 acquisition. Regulatory audits demand a full map of every system that touches PII, and producing that map requires mobilizing teams across the entire organization for weeks of manual documentation.
Consider what you're actually paying for: a $700M SAP environment (the average migration cost a16z cites) surrounded by dozens of satellite systems that were supposed to be temporary — five years ago.
Forrester reports that 60–73% of enterprise data goes entirely unused for analytics, primarily due to fragmentation, poor cataloging, and inconsistent governance. Your data exists. Your AI ambitions exist. But the governance layer between them doesn't — and until it does, every AI deployment is either blocked by legal or one audit away from a headline.
The next regulatory audit will ask you to map every system that touches PII. How long will that take you? Weeks? Months? How many people will you pull off their real work to assemble evidence?
Agent Lake is the infrastructure layer you deploy before the AI agents. Automated discovery across legacy and modern systems, complete data lineage tracking, and unified access controls with built-in audit logs.
The system of action that makes your systems of record usable — without a multi-year transformation program.
30 minutes. We'll map what's broken, show you what to build first, and connect Agent Lake to your stack.
Talk About Enterprise30 minutes. We'll map your current data landscape, identify what to build first, and show you how Agent Lake connects to your stack. No pitch deck. No commitment.