How to get your SAP Business ByDesign data ready for agentic AI

SAP Business ByDesign runs the financial and operational core of your business — general ledger entries, customer and supplier invoices, purchase orders, sales orders, bank statements, and receivables and payables all live inside it. Getting it ready for agentic AI means giving AI agents access to a centralized, cleansed, and governed version of that data, so they can answer questions like "what's our current cash position across all open receivables and payables?" in seconds rather than days. Fivetran + dbt Labs delivers the complete data foundation agents need — Fivetran moves SAP Business ByDesign data reliably into your warehouse or data lake, and dbt transforms it into trusted, AI-ready tables.

Why SAP Business ByDesign data is critical for agentic AI

SAP Business ByDesign holds finance, sales, procurement, and operations data in one system, which means the answers finance leaders need are almost always a combination of data from different parts of the business — a customer invoice here, a purchase order there, a bank statement somewhere else. Pulling that together today usually means someone in finance ops manually exporting from multiple areas of the system and reconciling it by hand before anyone can trust the numbers.

That manual work doesn't scale as the business grows. More sales orders, more supplier invoices, more journal entries, and more purchase activity all mean more records that no person can review individually. A controller trying to understand true cash position, or an FP&A lead trying to reconcile committed spend against budget, is often working from numbers that were accurate a week ago but have already moved. Centralizing SAP Business ByDesign data gives finance teams infrastructure built for agents, not just analytics — one current, trustworthy view instead of a set of exports that all say something slightly different.

What agentic AI can do with SAP Business ByDesign data

Once you centralize and prepare SAP Business ByDesign data for agents, an agent can act as an always-available financial and operational analyst that spans the whole business, not just one module.

A controller can ask for current cash position — combining open receivables, payables, and bank statement activity — without waiting for someone to reconcile 3 different exports. An FP&A analyst can ask how committed procurement spend, from purchase orders and purchasing contracts, compares to budget right now, instead of after finance consolidates the numbers at month-end. A finance ops manager can ask an agent to flag supplier invoices that don't match their purchase orders, cutting down manual matching during close. A finance leader can ask which sales orders or customer invoices are past due and by how much, connecting revenue visibility directly to collections priority.

Each of these answers comes from data SAP Business ByDesign already tracks across its finance, sales, and procurement processes. What changes is speed and reach: instead of manually stitching together exports from different parts of the business, a finance leader gets one current answer.

How Fivetran gets your SAP Business ByDesign data ready for agentic AI

SAP Business ByDesign data in its raw form isn't ready for agent workloads. It spans finance, sales, procurement, and operations records that update on different schedules, some changing by the minute and others only periodically, and it's structured for running the business day to day, not for an AI agent to query directly.

Fivetran solves this by moving your SAP Business ByDesign data reliably into a central warehouse or data lake, keeping it fresh and complete. Fivetran updates your most active records — accounts, customer and supplier invoices, purchase orders, sales orders, journal entries, and more — on an ongoing basis, and brings in slower-moving records on a schedule matched to how quickly they can reasonably be retrieved, so your finance team always knows how current the data is. Fivetran also captures deletions across your records, so historical financial data stays accurate even as records in SAP Business ByDesign change or get removed.

From there, dbt Labs transforms and governs that raw data into clean, trusted, AI-ready tables. Prebuilt quickstart dbt models give teams a fast starting point where they exist, but it's dbt's full modeling, testing, documentation, and governance capabilities that make SAP Business ByDesign data genuinely ready for an agent to query across finance, sales, and procurement — not the quickstarts alone. Together, Fivetran + dbt Labs deliver a centralized, cleansed, and governed foundation your agents can trust.

What your SAP Business ByDesign data unlocks for your team

With SAP Business ByDesign data in a central warehouse, AI agents unlock capabilities your finance team couldn't access before.

• Unified cash visibility — combine receivables, payables, and bank activity into one current view instead of three separate exports.
• Procurement-to-budget tracking — compare committed purchase spend against budget continuously, not just at month-end.
• Faster invoice matching — catch supplier invoices that don't match their purchase orders before close, not during it.
• Connected revenue and collections view — link overdue customer invoices directly to open sales orders for faster follow-up.
• Cross-functional spend visibility — see finance, sales, and procurement data together instead of reconciling them separately.

FAQ

What does it mean for SAP Business ByDesign data to be AI agent-ready?

It means your SAP Business ByDesign data — invoices, purchase orders, sales orders, journal entries, and bank statements — lives in a centralized, cleansed, and governed warehouse or data lake where an AI agent can query it directly across finance, sales, and procurement, and return accurate answers on demand.

What can my team actually do with AI agents and SAP Business ByDesign data?

Your team can ask direct questions about cash position, budget-to-actual spend, invoice matching, and overdue receivables, and get immediate answers instead of manually reconciling exports from different parts of the system.

Is SAP Business ByDesign data ready for AI agents out of the box?

No. SAP Business ByDesign data needs to be centralized, modeled, and governed before an agent can query it reliably.

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

You don't need a dedicated data engineering team. Fivetran automates the data movement, and dbt's prebuilt quickstart models give finance teams a fast, low-lift path to AI-ready tables.

How does Fivetran get SAP Business ByDesign data ready for AI agents?

Fivetran moves your SAP Business ByDesign data reliably into your warehouse or data lake, keeping finance, sales, and procurement records fresh and complete. dbt Labs then transforms and governs that data using its full modeling and testing capabilities, and prebuilt quickstart models, where available, give teams a fast path to analysis-ready tables without building everything from scratch.

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