Microsoft
ERP
Business Applications
18 May 2026

Understanding Proactive Support for Business Central

Kerry Orr, Operations Director
Kerry Orr, Operations Director

Reactive support has a clear business model: something breaks, someone raises a ticket, someone fixes it. It is simple to understand and straightforward to price. It is also an expensive way to run a business-critical system.

When your ERP goes down mid-close, or a report that the Board needs fails to run correctly, the cost is not just the support call. It is the disruption, the manual workaround, the time spent explaining to stakeholders why the numbers are late. Reactive support normalises that cycle.

Proactive support is built around preventing that cycle from starting.

What proactive support actually involves

The term gets used loosely. In practice, proactive business central support means several specific things.

Performance monitoring. Your system is being watched before it fails. That includes monitoring for unusual processing times, database health indicators, and integration errors that might not surface immediately as visible problems for users.

Optimisation cadence. Business Central evolves. Microsoft releases updates on a regular schedule. A proactive support partner manages that upgrade path, tests updates before they reach your live environment, and ensures configuration remains aligned with how your business has developed. Without this, businesses gradually accumulate technical debt.

Regular reviews. A proactive model includes structured conversations about system usage, upcoming business changes, and any features that your team is not using but would benefit from. It is not a call you make when something is wrong. It is a scheduled engagement that keeps the system aligned with the business.

Responsive ticket handling. Proactive support does not eliminate issues. It reduces their frequency and severity. When tickets do arise, response times and resolution paths should be defined contractually, not dependent on who happens to be available.

The difference between proactive and reactive in practice

Consider how multi-site operations experience the two models.

In a reactive model, each site raises issues when they arise. Response times vary. Problems that affect multiple sites may not be connected until the pattern becomes obvious. Configuration drift between sites can go unnoticed for months.

In a proactive model, monitoring covers all sites. Patterns are identified across locations. Configuration is maintained consistently. When one site experiences an issue, the question of whether other sites are affected is answered before they have to ask.

For Operations Directors managing distributed operations, that difference is material.

Why training is part of a proactive support model

User behaviour is one of the most common causes of performance degradation and process failure in ERP systems. Not because users are careless, but because training delivered at go-live fades, staff changes over time, and workarounds accumulate.

A proactive support partner monitors for signs of this and offers structured training interventions when they are needed, not just at implementation. That might be targeted refresher sessions when a process change is introduced, or onboarding support when new staff join and need to use the system effectively.

What to look for in a proactive support provider

The questions that reveal whether a support model is genuinely proactive or simply reactive with a better name:

  • What is monitored proactively, and how often?
  • How are upgrade cycles managed, and what testing is done before updates reach the live environment?
  • What does a regular review cycle look like in practice?
  • How are SLAs structured, and are they contractually defined?

TSG delivers Business Central support with an NPS score of 85. That reflects consistent delivery against the commitments made at the point of engagement, including what happens on the occasions when things go wrong.

If you are currently running on a reactive support contract and experiencing the costs that come with it, the conversation worth having is whether a proactive model would be better value over a twelve-month period.

Frequently asked questions

What does proactive support look like in Business Central?

It means your system is being monitored before issues surface, updates are tested and managed before reaching your live environment, and structured reviews keep the system aligned with how your business has developed. It is the opposite of waiting for something to break and then responding.

How does proactive support reduce downtime in Business Central?

Monitoring identifies early indicators of system degradation, integration failures, and performance issues before they become visible to users. Managed upgrade cycles prevent issues caused by untested updates reaching the live environment. Both reduce the frequency and severity of incidents that would otherwise require reactive intervention.

How often should Business Central upgrades be performed?

Microsoft releases major updates on a twice-yearly cycle. A proactive support partner manages this schedule, tests updates in a non-production environment before deployment, and communicates changes to your team. Without managed upgrade cycles, businesses risk compatibility issues and accumulating technical debt.

What are the signs that a Business Central support model is too reactive?

Frequency of the same types of issues recurring, long resolution times for known problems, no structure for how updates are managed, and support that only engages when a ticket is raised. If you are spending meaningful time each month on workarounds or chasing resolution, that is a reactive model in practice.

How does proactive support work across multi-site operations?

A proactive model monitors performance and configuration consistency across all sites, identifies cross-site patterns before they become problems, and ensures changes are applied consistently. For Operations Directors managing several locations, this prevents the configuration drift and inconsistent user experience that reactive models tend to produce over time.

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