How to Transition From a Traditional AMS to a Proactive Workday Support Model

For many organizations, the idea of moving beyond a traditional AMS model can feel unconventional and complex. AMS is a familiar model and one that many organizations have relied on to address their Workday issues as they come up. But as organizations recognize the limitations of a reactive model, the question becomes:

How do you transition to a more proactive approach without disrupting operations?

Start with understanding the gap

The first step is identifying where your current model falls short.

Ask:

• Are we improving our system over time?
• Do we have a clear roadmap?
• Are we leveraging new Workday capabilities?

This assessment creates a baseline. For many organizations, that gap is becoming more visible as Workday and the broader enterprise technology landscape move toward agent-enabled work. A support model that only responds to issues will struggle to answer larger readiness questions: Which processes are strong candidates for automation? Which data is trusted enough to support agentic workflows? Which decisions require human oversight? Which external agents may need to interact with Workday, and how should those interactions be governed?

Redefine what “support” means

Support should not be limited to resolving issues.

It should include:

• Strategic planning and readiness planning for emerging capabilities
• Evaluation of Workday-native agents, external agents, automation and AI enabled workflows
• Continuous improvement tied to business priorities
• Governance, ownership and adoption planning
• Knowledge transfer that strengthens internal capability

This shift in definition is critical to mapping out your path to success.

Introduce proactive, structured optimization

A proactive Workday support model such as Optimize+ introduces structure where there was previously fragmentation.

This includes:

• Regular roadmap planning sessions
• Prioritization frameworks
• Defined optimization cycles and strategic monthly enhancements, including where agents fit, what data and processes they may touch, what human oversight is required, and how to introduce new capabilities safely and intentionally

Structured knowledge transfer enabling your team to manage and optimize Workday with confidence.  These elements ensure that improvement is consistent, not ad hoc.

Maintain operational stability

Transitioning away from a traditional AMS model does not mean sacrificing stability or losing the reactive support your team has come to rely on. In fact, a more proactive support model such as Optimize+ is designed to strengthen operational stability, not replace it.

Reactive support still remains a critical component. Inevitably, issues will still arise, users will still need assistance, and tickets will still need to be resolved. What changes is how your organization manages everything around those issues.

Instead of operating in a constant state of reaction, a proactive model is designed to:

• Anticipate and prevent issues before they impact the business
• Maintain responsive, reliable support for day-to-day needs
• Introduce structured, ongoing optimization alongside support

This shift reduces the volume and urgency of reactive work over time. Fewer recurring issues, clearer priorities, and better system alignment all contribute to a more stable Workday environment.

In a traditional AMS model, stability is often achieved by responding quickly when something breaks. In a proactive model, stability is achieved by reducing how often things break in the first place.

Organizations who move to a more proactive support model do not have to make a tradeoff between support and system improvement. It is a more balanced, more effective way of operating:

• Your team still gets the support they need
• Your system continues to run smoothly
• And your Workday environment steadily improves instead of standing still

This is what allows organizations to move from simply maintaining their system to actively strengthening it, without introducing unnecessary risk or disruption.

Start with a focused initiative

Instead of a full transformation, begin with a targeted effort:

• A roadmap session
• A capability review
• A process improvement initiative

This allows organizations to see value quickly without significant risk.

Align stakeholders

A successful transition requires alignment across:

• HR
• IT
• Finance
• Leadership

Each group should understand:

• The goals of optimization
• The expected outcomes
• Their role in the process

Reconsider how you measure success

Traditional AMS focuses on metrics like:

• Ticket volume
• Resolution time

A proactive model focuses on:

• Business outcomes
• Process improvements
• Capability adoption

This shift in measurement reinforces the value of optimization.

Making the transition

Transitioning from a traditional AMS model to a proactive Workday support approach is not about replacing what works. It is about evolving how your organization gets value from Workday.

For many organizations, the challenge is not a lack of support. It is a lack of structure, prioritization, and forward momentum after go-live. Over time, this leads to a system that remains relatively stable but no longer improves in meaningful ways. A proactive model changes that trajectory.

By introducing clear ownership, structured planning, and continuous optimization, organizations can move beyond reactive support and begin to fully leverage what Workday was designed to deliver. Progress becomes intentional. Improvements become measurable. And the system becomes more closely aligned to the needs of the business over time.

The transition to a proactive model does not need to be disruptive or high risk. It can start with small, focused steps that build confidence and momentum. What matters most is making the shift from maintaining the system to actively improving it. In an environment designed for continuous change, lack of progress becomes its own form of risk. As platforms become more automated and intelligent, that risk only increases without clear ownership, governance, and forward planning.