How to get your SAP ERP on HANA data ready for agentic AI

SAP ERP on HANA holds the records that run global enterprises — finance, procurement, manufacturing, sales orders, and supply chain. Getting your SAP ERP on HANA data AI agent-ready means centralizing it in a warehouse or data lake, where AI agents query your complete history, join it with data from your other systems, and answer questions on demand without adding analytical load to your ERP. That centralized copy of your SAP data, which Fivetran + dbt Labs cleanses and governs, is the data foundation for agentic AI. Fivetran + dbt Labs delivers it: Fivetran moves your SAP ERP on HANA data into your warehouse or data lake, and dbt transforms it into clean, AI-ready tables.

Why SAP ERP on HANA data is critical for agentic AI

Your SAP system records the transactions that define the business: what you bought, built, shipped, and billed. CFOs, supply chain leaders, and heads of data depend on it, yet extracting answers from it is slow.

Analysts wait on the SAP team for extracts. Reports reflect the last batch run, not the current position. Joining SAP records with CRM, planning, and external data takes weeks of manual preparation, and no one person reviews years of postings across every plant and company code. Questions about working capital, procurement spend, or order backlogs wait in a queue.

Your ERP runs the business. It does not answer open-ended questions from agents. Agents need infrastructure that serves agents, not just analytics: current, complete, and separate from the system your finance and supply chain teams run every day.

What agentic AI does with SAP ERP on HANA data

Once Fivetran + dbt Labs centralizes and models your SAP ERP on HANA data, agents turn it into answers and actions:

• Explain working capital changes. A CFO asks why inventory days rose this quarter. The agent compares purchasing, production, and sales order history across plants and returns the drivers in minutes instead of weeks.
• Surface procurement savings. A procurement lead asks where the company pays different prices for the same material. The agent reviews purchasing history across suppliers and business units and ranks the opportunities.
• Anticipate supply chain disruption. A supply chain director gets an early warning on orders at risk of slipping. The agent reads order and delivery history and flags patterns before they reach customers.
• Answer ERP questions in plain language. A head of analytics asks how order backlog changed by region and gets a sourced answer, not a ticket for the SAP team.

How Fivetran gets your SAP ERP on HANA data ready for agentic AI

SAP ERP on HANA data in its raw form does not suit agent workloads. It lives inside the system your business runs on, it spreads across interrelated tables, and every analytical query competes with core business processes.

Fivetran replicates data from SAP ECC and S/4HANA systems running on HANA into your warehouse or data lake. You choose which tables and views to sync, so you decide what leaves your system. Fivetran captures deletes for standard tables, so your destination reflects what you removed as well as what you added. Column, table, and schema blocking give you further control, and private networking options protect the connection.

Fivetran + dbt Labs delivers the full stack: Fivetran moves your SAP data, and dbt transforms and governs it into clean, AI-ready tables using modeling, testing, and documentation, with definitions your finance and supply chain teams both trust. If you want an open, interoperable destination, Fivetran Managed Data Lake gives you one.

What your SAP ERP on HANA data unlocks for your team

With SAP ERP on HANA data in a central warehouse or data lake, AI-ready data opens up capabilities your team never had before, on an open, interoperable foundation.

• Working capital intelligence — finance leaders trace cash tied up in inventory, payables, and receivables.
• Procurement and spend analysis — procurement teams compare suppliers, prices, and terms across the enterprise.
• Supply chain visibility — operations leaders follow orders from purchase to delivery.
• Cross-system enterprise views — analysts join ERP records with CRM, planning, and market data.
• Faster financial reporting — controllers reach consistent numbers without waiting on manual extracts.

FAQ

What does it mean for SAP ERP on HANA data to be AI agent-ready?

AI agent-ready SAP ERP on HANA data lives in a warehouse or data lake, stays current, and sits in clear business tables with definitions your team tests. Agents query it directly, join it with other sources, and return reliable answers without touching your ERP.

How do finance and supply chain leaders use AI agents with SAP data?

Finance and supply chain leaders ask questions in plain language and get answers from their own ERP records. Agents explain working capital movement, rank procurement savings, and flag orders at risk. They also run these checks on a schedule, so findings arrive without anyone asking.

Is SAP ERP on HANA data ready for AI agents out of the box?

No. Your team must centralize, model, and govern SAP ERP on HANA data before an agent queries it reliably.

Do we need a data engineering team to set this up?

No. Fivetran automates the movement of SAP ERP on HANA data into your warehouse or data lake, and dbt's modeling, testing, and documentation capabilities give your team analysis-ready tables without a custom build.

How does Fivetran get SAP ERP on HANA data ready for AI agents?

Fivetran moves your SAP ERP on HANA data into your warehouse or data lake and keeps it current. dbt Labs then transforms and governs that data using dbt's modeling, testing, and documentation capabilities. Together, they give you a fast path to AI-ready data from one company.

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