When a manager asks, "Where are our margins being squeezed?", how long does it take to get an answer the team trusts?
In recent articles we looked at where AI may reduce manual work, and at two AI capabilities SAP describes within SAP Business One. This time we step back and look at the path. For most businesses the question is not whether to use AI, but where to begin, and what to add next.
Why a path matters
Good business decisions rarely depend on a single piece of information. They depend on bringing together the right information, at the right time, with enough context to act with confidence.
SAP Business One holds that information in one place: finance, sales, purchasing, inventory, operations and customer relationships. SAP describes its AI capabilities as building on those connected processes and data. That makes it practical to think about AI in steps, starting with what makes the biggest difference today and adding more over time, rather than trying to do everything at once.
Three steps: Surface, Explore, Extend
| Step | The question it helps with | What it involves | Examples of use |
|---|---|---|---|
| Surface | What is happening in our business? | AI User Defined Query: describe a question in everyday language, review the generated query, then explore the results | Overdue invoices, sales orders at risk, low-margin sales, supplier performance |
| Explore | Why is it happening, and what is the wider picture? | Ask AI: select relevant SAP Business One records as context, and get summaries, recommendations and insights, drawing on external sources where relevant | A supplier issue, changing demand, new regulations |
| Extend | What repetitive work could come off people's plates? | SAP AI services and extensions, and partner solutions built on SAP Business One | Manual data entry in invoice processing, repetitive tasks from start to finish, industry-specific needs |
Step 1: Surface what is happening
The first step removes the gap between a question and an answer. Instead of building a report or waiting for someone with technical skills to write a query, a user describes the question in business language and reviews the query that is generated before running it.
The results then become a workspace, not a static report. One answer tends to lead to the next question, and that is where the value builds.
Step 2: Explore the bigger picture
Business data shows what is happening. Understanding why often needs wider context, such as the reasons behind changing demand or the impact of new regulations.
Many AI tools start with a blank prompt, so the user has to explain the situation first. With Ask AI, SAP describes starting from selected SAP Business One records, so the question begins with the business situation. Frequently used prompts can also be saved, which may make recurring tasks quicker and more consistent.
Step 3: Extend where the process demands it
The third step is more specific to each business. SAP describes its AI services and extensions as supporting tasks such as taking manual data entry out of invoice processing, automating repetitive tasks from start to finish, and addressing industry-specific challenges.
This is also where a partner can help most: working out which process is worth improving, how it fits your setup, and how it connects to specialised work such as production or warehouse operations. The aim is for AI to become part of how people already work, not another layer added on top.
Choosing your starting step
| If this sounds like your business | A sensible first step |
|---|---|
| People often wait for someone else to build a report or query | Surface |
| The data is there, but decisions need wider context | Explore |
| One repetitive process takes hours every week | Extend |
You do not have to take all three steps, and you do not have to take them in order. The right pace is the one your business can absorb.
A simple way to begin
- Pick one question or process. Choose something your team spends too long on.
- Match it to a step. Decide whether it is a question to surface, a situation to explore, or a process to extend.
- Check the data behind it. Reliable records give better answers, and obvious gaps are best fixed at the source.
- Pilot it with a person reviewing. Someone who knows the business should check the result before it is relied on.
Measure and decide the next step. Compare time and effort before and after, then choose what to extend.
Availability can depend on your version and setup, so check what applies to your system before planning around any capability.
Let's explore what's possible
At ThynkProcess, we'd be happy to help you work out which step makes sense for your business. Is there a question your team waits too long to answer, or a repetitive process you would love to simplify? Send us a brief description and we can talk through the options, including what is available for your version of SAP Business One. It is a short exploratory conversation, and any assessment or implementation can be scoped to your needs.
Sources
- SAP Business One guide, "A shorter path to answers: How AI in SAP Business One reduces the distance between business questions and confident decisions" (PDF supplied by you; no public link was included)
- Practical AI in SAP Business One: from business questions to better decisions (SAP Community)
- Make more of your SAP Business One (ThynkProcess, 19 October 2026)
- What Can Built-in AI in SAP Business One Do Today? (ThynkProcess, 2 November 2026)
