Summary: Most enterprises building agentic AI on Gemini Enterprise hit the same wall: the model is ready, but the ERP data behind it isn't. Agents pull from stale exports and siloed systems, fill gaps with assumptions, and deliver outputs teams don't trust. The fix is three things most ERP pipelines were never built to deliver: an automated semantic layer, full business context, and live data. Incorta delivers all three to BigQuery automatically, giving Gemini Enterprise the complete, accurate foundation it needs to power production-ready agentic AI on Oracle, SAP, and Workday data.
You've seen what Gemini Enterprise can do. The reasoning is there. The agentic capabilities are there. But when you connect it to your actual ERP data, the outputs don't hold up - and your team doesn't trust them enough to act.
You're not alone. 91% of AI models experience quality degradation over time because of stale, incomplete, or fragmented data. More than 80% of AI projects fail, and the root cause is almost never the model. It's the data foundation behind it.
Your Gemini agents are just guessing (and your team knows it)
Right now, most enterprises feed Gemini summaries, old exports, and siloed data that was built for dashboards, not for AI to reason on. When an agent hits a gap, it fills it with an assumption. The output looks confident. The logic underneath it isn't.
That's why only 2% of organizations have implemented AI agents at scale, even though more than 65% are piloting or exploring. The gap between a Gemini pilot that works in a demo and a production deployment your team relies on comes down to one thing: whether your agents have enough context to reason on your data the way your business actually needs them to.
Three things your Gemini agents need to stop guessing
The enterprises that are getting agentic AI into production on Gemini Enterprise have all solved the same foundational problem. They've given their agents three things most ERP pipelines were never built to deliver:
A semantic layer. Your ERP stores data in tables and transaction codes. Gemini needs to understand what that data means in business terms — what a PO status implies, how a GL account maps to a cost center, which inventory fields signal risk. Without a semantic layer, your agents are working with numbers they can't interpret.
Full business context. A single data point means nothing without the relationships around it. A Gemini agent analyzing inventory needs to see the connections across POs, demand forecasts, supplier lead times, and warehouse capacity. Most pipelines deliver flat, summarized data that strips out this context before it ever reaches BigQuery.
Live data. Agents making decisions on data that's hours or days old aren't making real decisions. In supply chain, that's the difference between catching a stock-out early and writing down millions in SLOB inventory. In finance, it's the difference between a real-time variance explanation and a manual reconciliation that takes your team days.
Why most teams are stuck in pilot purgatory
The challenge is that most enterprises spend 80% of their time building data connectors instead of training agents to handle intelligent workflows. Legacy ERPs weren't designed for real-time AI access. They export CSVs, use outdated APIs, and silo critical business data across dozens of modules.
So teams face an impossible choice: limit their Gemini agents to the data that's easy to access and accept incomplete outputs, or spend months building custom pipelines for every ERP system. Most choose the second option and get stuck — McKinsey reports that only 40% of companies see any enterprise-level impact from their AI initiatives.
How Incorta + Google Cloud solve this
This is exactly why Incorta and Google Cloud built a better path.
Incorta delivers all three: an automated semantic layer, full business context, and live ERP data - directly to BigQuery. No custom pipelines. No months of implementation. Your Oracle, SAP, and Workday data arrives in BigQuery complete, accurate, and structured for Gemini Enterprise to reason on.
Your agents get the full picture. Your team gets answers they trust enough to act on. And you go from pilot to production without the bottleneck that stalls everyone else.
That's what 100% context and 100% accuracy actually looks like when you're building on Gemini Enterprise.
See it live at Google Cloud Next '26
We'll be at Google Cloud Next, April 22–24 in Las Vegas, Booth #2811. Come see how Incorta automatically generates the business context Gemini Enterprise needs to power production-ready agentic AI on your ERP data.
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