AMSManaged Services

Beyond SLAs: How Our Tailored SAP AMS Approach Drives Lasting Value.

Why traditional SLA-driven managed services fall short and how a partnership-based AMS model delivers 50% faster month-end closes and up to 40% reduction in operational costs.

MG
Mauricio Grossi
4 min read281 words
Beyond SLAs: How Our Tailored SAP AMS Approach Drives Lasting Value

Partnership Over Paperwork

Traditional SAP Application Management Services operate on a transactional model: tickets in, resolutions out, measured against rigid SLAs. While this approach provides accountability, it rarely drives lasting business value. At MYGO, we have built an AMS practice that prioritizes partnership over paperwork, embedding our teams within client operations to understand context, anticipate issues, and proactively improve system performance.

The Limitations of SLA-Driven AMS

SLA-driven models create perverse incentives. Providers optimize for ticket closure speed rather than root cause resolution. Recurring issues persist because there is no contractual motivation to eliminate them permanently. Knowledge remains siloed within the provider organization, and clients remain dependent rather than empowered.

A Value-Driven Alternative

Our approach inverts the traditional model. We measure success not by tickets resolved but by tickets prevented. Our teams invest in understanding business processes, identifying patterns in system issues, and implementing preventive measures that reduce incident volume over time. This creates a virtuous cycle where operational costs decrease as system stability increases.

Measurable Business Impact

The results speak through quantifiable improvements. Clients working with our tailored AMS approach have achieved a 50% reduction in month-end close times through proactive system optimization and automated reconciliation workflows. Operational costs have decreased by up to 40% as preventive maintenance reduces emergency support needs and system downtime.

AI-Powered AMS for the Future

We are embedding AI capabilities into our AMS delivery model. Predictive analytics identify potential system issues before they impact operations. Intelligent automation handles routine maintenance tasks. Natural language interfaces allow business users to resolve common issues without submitting tickets. This evolution of the AMS model delivers increasing value over time while reducing total cost of ownership.

Topics:AMSManaged Services
MG
Written By
Mauricio Grossi
Published on
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