Boards have stopped asking whether they are investing in AI. I believe that argument has, in the main, been settled. Now, the question has changed to something much harder to answer: what does it buy us?

I don’t believe that’s skepticism about the power of the technology. It comes from the absence of numbers, of measurable ROI. Answering what it buys starts with the more basic question of what problem are we actually trying to solve? 

For organizations running SAP, there is a specific place where that number is winnable, and it isn’t in the build. When I speak to CIOs, it’s clear that many change decisions are locked in long before anyone has real visibility into effort, risk, or downstream consequence. Too often this is where delays, rework, technical debt, and missed business outcomes are created.

Get the decision layer right, and the effect is measurable in the metrics that a board already tracks. Get it wrong, and the cost of recovery lands downstream where it is most expensive to absorb. So, the leverage is upstream, in the decision itself. 

Where Klario fits 

That is the decision point we built Klario to improve: turning a business ask into a change decision that is clear, viable, and defensible before build begins, with the reasoning visible enough to stand up to scrutiny later.

This is the discipline of helping organizations determine the right change to make, understand the likely value, evaluate competing options, quantify risk, align stakeholders, and log a transparent record of why a decision was made. Not just supporting delivery, but constantly improving the quality of the decisions that drive delivery.

By combining agentic AI with SAP context, proven design patterns and structured workflows, Klario helps CIOs translate AI investment into outcomes boards care about: speed, efficiency, risk reduction, and measurable business value.

Here are five ways this shows up in practice. 

1. Pressure-Test Decisions Before You Commit Budget 

Many SAP change decisions get locked in before teams have adequate visibility into effort, risk, or longer-term implications. By the time a poor design decision surfaces, the budget is committed, the timing is agreed, and reversal is expensive.  

Klario equips teams to pressure-test changes before build begins. By combining SAP community knowledge and change context with agentic AI, Klario surfaces effort, complexity and risk signals early in the planning process. Teams gain greater visibility into feasibility before significant delivery resources are committed. Where the change touches custom code nobody remembers writing, Klario reverse-engineers the likely intent of that development in plain language. 

Two things matter about how those options are presented. Firstly, each one carries an explicit rationale you can interrogate. Secondly, Clean Core is assessed at the point of decision rather than as a governance review after the design is fixed. 

The decision itself stays with your people. The humans in the loop, plural because good change decisions are anchored in collaboration.  Klario’s job is to inform the judgement, not to make it. What changes is the basis of the decision from assumption to evidence. Instead of cautiously defending an estimate, your architects can show that the option they chose was evaluated against the ones they didn’t, on feasibility, risk and business impact, before the organization committed time and budget. 

2. Define it Right, Build it Once 

One of the most common causes of SAP project delays is the time spent agreeing what needs to be built in the first place. 

Many organizations still rely on workshops, spreadsheets, manual detective work, and multiple stakeholder meetings to translate business requests into actionable requirements. The result is often ambiguity, inconsistent quality, overlooked edge cases and costly rework that only becomes visible once delivery is underway. 

Klario helps organizations move faster by transforming business intent into clear, structured, and measurable requirements through AI-guided workflows. Expert personas from a range of disciplines help shape, challenge, and refine requirements. Klario automatically scores every requirement against a set of quality dimensions, including clarity, completeness, relevance, measurability, and business value.  

The goal is simple: Define it right, build it once, measure it fully.  

Getting requirements right at the start changes the trajectory of delivery. Stakeholders align faster because requirements are clear, measurable, and grounded in business value. Gaps, dependencies, and edge cases are identified early, when they are easiest and cheapest to address. Delivery teams gain a shared understanding of what needs to be built and how success will be measured. 

This shows up as less rework, fewer downstream surprises, and greater confidence that the final solution reflects what the business actually needs. Verified early adopter deployments show Klario accelerating requirements-to-design by 3x, while also halving workshops, reducing manual analysis effort by 50%, and cutting defects and rework by 45%. 

For CIOs, applying the Define it Right, Build it Once principle with Klario accelerates delivery, improves transformation success, reduces program costs and realizes business value sooner. 

3. Apply Clean Core with Confidence

Most SAP organizations understand the importance of Clean Core. The challenge is applying those principles consistently when business pressure demands rapid delivery. 

Too often, Clean Core becomes a governance exercise performed after solution decisions have already been made. At that stage, changing direction can introduce delays, increase costs, and create friction between business and IT teams. 

Klario brings Clean Core assessment into the decision-making process itself. Teams can evaluate proposed changes against SAP best practices before development begins and compare viable options such as adopting standard functionality, compliant refactoring, or side-by-side extensibility. Crucially, each option is supported by explainable rationale rather than opaque AI recommendations. 

The same challenge exists when modernizing legacy SAP estates. Before organizations can rationalize, modernize, or retire existing solutions, they need to understand what those solutions do, why they were created, and whether they still deliver business value. In many cases, documentation is incomplete and the people who built the original solutions have long since moved on. 

Klario helps by reverse-engineering business intent from legacy custom developments, analyzing solutions in a business context rather than simply inspecting individual technical objects. Once that intent has been established, organizations can evaluate modernization options with greater confidence, including standard SAP alternatives, simplification opportunities, and Clean Core-aligned approaches. 

For CIOs, the value is simple: make modernization decisions based on evidence, not assumption. By understanding what customizations do, why they exist, and whether they still deliver value, organizations can confidently simplify their SAP estate, reduce technical debt, lower delivery risk, and accelerate future transformation initiatives. 

4. Build Value Cases the Board Can Back

Even the most technically sound SAP change can struggle to secure investment if its business value is unclear. Technology teams are typically effective at explaining what needs to change. The greater challenge is demonstrating why the change matters in business terms: reducing cost, improving efficiency, mitigating risk, supporting compliance, or enabling strategic objectives. Without that context, valuable initiatives can be delayed, deprioritized, or rejected altogether. 

Klario helps bridge that gap by guiding teams through value assessment and initiative prioritization. It enables organizations to quantify business impact, understand the cost of inaction, gather stakeholder perspectives, and connect proposed changes to measurable business outcomes. Initiatives can then be assessed based on value, risk, and feasibility rather than subjective opinions or organizational influence. 

For CIOs, the outcome is investment decisions that are based on evidence, not advocacy. Instead of discussing technology for its own sake, SAP initiatives can be presented in terms of business value, strategic impact, and measurable return. This gives boards greater confidence in where to invest, why the investment matters, and how success will ultimately be measured. 

5. Trust the Output, and Be Able to Prove Why You Do 

Last on the list, but arguably the most important, is trust. Klario is built with transparency, privacy, and compliance at its core. 

A general-purpose AI has a point-in-time understanding of SAP, drawn from its training data. It can also give you a decent recipe for a pizza. Same source, same confidence, neither answer coming from knowing you or your business. It does not know your estate, the decisions you made last year, the legacy code you are still running, or whether a given change serves your strategic priorities. A general-purpose model gives you an answer, and it sounds the same whether it is right or wrong. 

Klario answers from your data, not its own memory. Its output is grounded in your landscape, your business context and your declared strategic objectives. What a CIO needs is different from an answer: a decision grounded in your own landscape, evaluated against the options you rejected, co-created by the people accountable for it, with the reasoning recorded so that when someone asks in twelve months why you spent the money, the answer already exists. Importantly, the human is never taken out of the loop. 

Then there is the question of where your information ends up. With a general-purpose frontier model, whether your inputs are retained or used to improve the provider’s models depends entirely on the service and the tier you are on. The more immediate risk is closer to home: someone pasting a requirements specification, an architecture decision or the intent of a custom development into a public chat window is an uncontrolled disclosure of commercially sensitive design detail. There is no way to roll this back.  

Klario is built the other way round. It collects the operational signals it needs, change records, transport history and metadata. Equally important is what it doesn’t collect, transaction data, customer details or intellectual property. Your tenant is isolated with a dedicated schema, role-based access and audit trails. Klario leverages SAP AI Core, and under SAP’s terms for the Generative AI Hub your data is never used to train the underlying models.  Where Klario draws on shared community intelligence about SAP best practices and design approaches, anything contributed passes through a multi-stage anonymization process first. 

Give Your Board a Clear and Trustworthy AI Value Case 

The organizations proving the strongest return from AI are the ones that can connect specific use cases to measurable business outcomes.  

In SAP change, many of the costs, delays and risks that programs experience are the consequence of decisions made long before a table is configured or a line of code is written. The ability to make those decisions with better evidence, clearer accountability and measurable outcomes will increasingly separate successful change programs from failed ones. 

If you’re ready to build that case for your board, book a guided conversation with one of our SAP experts. We’ll walk you through where Klario can create value in your SAP change design process, help identify a practical AI use case, and show how to frame it in terms of speed, risk reduction, better investment decisions, and measurable SAP value.