The Long Game: How to Stop Your S/4 Transformation from Unravelling After Go-Live

How Change Management stops your S/4HANA Transformation unravelling after go-live  

When organisations embark on SAP S/4HANA transformations, the spotlight is almost always on building the technology. Teams spend months (sometimes years) on requirements, design, testing, and data migration.

Everyone counts down to the go-live date, overlooking that go-live is a milestone, not the finish line.

SAP S/4 transformations can fall into the trap of losing momentum after that first big deployment. Users can become frustrated with initially slower running processes and start to find workarounds.

Why? Because what happens after go-live is just as important as what happens before.

In this article, we’ll explore what can go wrong post S/4 go-live and how to make sure your transformation delivers lasting value.

The Post-Go-Live Reality

It’s common to see a performance dip immediately after an SAP S/4 go-live. It can happen for a number of reasons:

• New processes feel clunky: even if they’re better in theory, they take longer while people adjust.
• Data gaps slow transactions down: missing fields, incorrect uploads, or inconsistent master data quickly create problems.
• Users default to old habits: if they don’t fully understand the new system, they’ll create workarounds in Excel or offline tools.
• The business loses focus: once hypercare ends, programme teams move on, leaving end users to manage on their own.

These issues don’t just frustrate employees, they directly impact customers, suppliers, compliance, and financial performance.

What makes SAP S/4 Different

SAP S/4HANA isn’t just a new version of SAP ECC, it’s a fundamentally different platform with unique challenges that organisations can often underestimate:

• Process standardisation vs. customisation: many organisations discover that adopting standard S/4 processes means unpicking deeply rooted ways of working. That’s much harder than just training people to use a new system.
• Real-time data: with S/4, information is faster and more connected but only if people enter accurate data consistently. Poor data discipline undermines the entire system.
• Integration: S/4 doesn’t operate in isolation, it often connects multiple platforms across functions e.g. planning, manufacturing, HR and Finance. After go-live, even small integration issues can disrupt end-to-end processes, creating knock-on impacts across the business if not managed closely.
• Continuous innovation: unlike older ERP systems, S/4 evolves with SAP’s update cycle. That means transformation is never truly “done.” Teams need to adapt continuously, not just once.

What does “Unravelling” After Go-Live Look Like

What does “unravelling” look like in real life? Here are some pitfalls and examples seen across S/4 programmes:

Excel makes a comeback:

Example: a Production Planner can’t generate a capacity report in S/4 because they’re unfamiliar with the new Fiori app. Instead, they export raw data to Excel and build their own tracker, breaking the “single source of truth” principle and creating version control chaos.

Data chaos undermines confidence:

Example: a supplier’s bank details are loaded incorrectly during cutover. Purchase Orders fail, payments get stuck, and relationships with key suppliers take a hit. Finance blames Procurement, Procurement blames IT and trust in the system erodes.

The business slows down:

Example: the Finance team needs three extra days to close the first month after go-live because journal entries haven’t been configured to post automatically as they did in ECC. Instead of faster reporting, the business faces delays that impact decision-making.

Stakeholder fatigue sets in:

Example: after the excitement of go-live, leaders move on to the next initiative. With no ongoing narrative about the “why,” users start to question the point of the transformation and adoption stagnates.

How to Stop the “Unravelling”

How do you keep your S/4 transformation from “unravelling” once you’ve gone live? Here are four practical areas of focus:

Focus on the Day-to-Day User Experience

The biggest adoption risks are at the front line. If a Planner, Buyer, or Finance Analyst finds the system counter-intuitive or slow, they’ll default to workarounds, undermining data integrity and process consistency.

What we suggest:

• Design role-based learning journeys tailored to specific tasks and responsibilities, not generic training modules. A Warehouse Operator doesn’t need to understand the theory behind Fiori tiles, they need to know exactly how to post a goods issue for a delivery, step-by-step.
• Create accessible support tools like job aids, quick reference guides, and short simulations or videos that people can access when they need them.
• Establish real-time feedback loops utilising helpdesk tickets, pulse surveys, and floorwalkers to understand pain points early and act on them. Track recurring issues and respond quickly with fixes or targeted training.
• Monitor user behaviour through system usage analytics. If certain transactions are consistently avoided or performed incorrectly, it’s a signal that something’s broken in the experience.
• Why it matters: if users feel confident and supported, they’ll engage with the system fully. If they feel confused or unsupported, they’ll disengage and that’s when the “unravelling” begins.

Treat Data as Everyone’s Job

One of S/4’s key strengths lies in its ability to deliver real-time, integrated data insights but that only works if the data flowing through the system is clean, consistent and trusted.

What we suggest:

• Embed data ownership into job descriptions and role expectations. Make it clear that maintaining data quality isn’t just an IT responsibility, it’s part of every user’s accountability.
• Use storytelling to drive awareness. Share real examples of how poor data leads to real consequences, like a delayed customer shipment due to an incorrect unit of measure in the material master.
• Gamify data accuracy, celebrate teams or individuals who consistently maintain high-quality data. Use dashboards to show improvements and create healthy competition.
• Conduct regular data audits post go-live to catch errors early. Don’t wait for issues to surface downstream in reporting or compliance.
• Why it matters: bad data doesn’t just slow down processes, it erodes trust in the system. Once users stop believing the data, they stop using the system as intended.

Build Networks of Super Users

Super Users are the bridge between IT and the business. They’re embedded in the business, understand the system, and can translate technical changes into practical guidance for their teams.

What we suggest:

• Identify and empower Super Users in every function, location and shift pattern. Diversity in this network ensures broad coverage and relevance.
• Give them early access to system updates and involve them in testing and validation. This builds ownership and prepares them to support their teams.
• Formalise the role with clear responsibilities, recognition and incentives. Being a Super User should be seen as a career enhancing opportunity.
• Create a community of practice where Super Users can share tips, troubleshoot issues and escalate concerns. This peer-to-peer support is often faster and more trusted than formal channels.
• Recognise their contribution, being a Super User should be seen as a valued role, not an extra burden.
• Why it matters: Super Users drive adoption from within. They’re the difference between a system that’s used reluctantly and one that’s embraced enthusiastically.

Keep Momentum Going Beyond Hypercare

Hypercare is a safety net but it’s only temporary. Once it ends and the programme team depart, users can feel abandoned and unresolved issues can fester.

What we suggest:

• Develop a structured transition plan from hypercare to BAU. Define who owns support, how issues are triaged, and what escalation paths exist.
• Maintain regular communication post-hypercare. Share updates, celebrate wins, and acknowledge ongoing challenges. Keep the transformation narrative alive.
• Continue measuring adoption and engagement for at least 6–12 months. Use KPIs like transaction volumes, error rates, and user satisfaction to spot trouble early.
• Introduce continuous improvement cycles. Treat go-live as the first iteration, not the final product. Encourage feedback, iterate processes, and evolve training.
• Why it matters: transformation is a journey, not a moment. Sustained support ensures that the system matures with the business and doesn’t become obsolete before it’s even embedded.

The Long Game

SAP S/4HANA transformations often falter not because of flawed technology, but due to a lack of sustained focus after go-live. Following our suggestions above, organisations can avoid post-deployment pitfalls by prioritising user experience, enforcing data discipline, empowering Super Users, and maintaining momentum beyond hypercare. By treating go-live as the beginning and not the end, businesses can ensure long-term adoption, unlock real value, and turn their transformation into a lasting strategic advantage.

Do you need Change Management expertise?

At Project One, our team of change experts and Transformers all have a minimum of 15-20 years of experience in leading complex change and transformation programmes, across all sectors. If you are facing a similar challenge and would like some guidance or just a sounding board, please get in touch.