The problem in plain language
A low-code flow or app begins as a local productivity improvement. Over time it starts moving customer information, approvals, notifications, finance data or operational tasks. More people depend on it, but support still depends on the original maker noticing failures and fixing them when available.
What the buyer is actually trying to solve
The buyer needs a support model that matches business criticality: who owns the outcome, who monitors failures, who can change the solution safely, what service expectations apply and what happens when the original maker changes role or leaves.
Evidence and system mechanism
Microsoft’s Power Platform governance guidance recommends clear roles and responsibilities, application classifications and support tiers, together with explicit ownership and maintenance expectations for makers. Its support-strategy maturity model distinguishes maker-supported solutions from higher-maturity models with defined risk profiles, dedicated support, clear responsibilities and service-level expectations.
The mechanism is not specific to one vendor. Low-code reduces the barrier to building software; it does not remove the operating requirements that appear once a solution becomes important to the business.
Problem owner and why now
The business process owner and automation/platform owner share responsibility. Urgency rises when more users rely on the flow, it begins touching financial or customer outcomes, the maker leaves, failures become frequent, or the automation is connected to AI agents and other unattended processes.
Economic consequence
Unsupported critical automation can create hidden downtime, manual recovery, delayed work and dependence on scarce maker knowledge. Useful measures include failure frequency, recovery time, number of users or processes dependent on the solution, unowned critical flows, change history and the amount of manual work required when the automation is unavailable.
Root cause
The root cause is often a missing promotion path from “maker solution” to “operational service”. The organization governs creation but does not define when increased usage or criticality should trigger stronger support, ownership, testing, monitoring and lifecycle controls.
Practical intervention
- Inventory active low-code apps and flows and identify the business processes they support.
- Classify solutions by business criticality, data sensitivity, transaction impact and dependency.
- Assign business and technical owners for higher-criticality solutions.
- Define support tiers and escalation paths appropriate to the risk.
- Move critical solutions into controlled environments and change practices where the platform supports it.
- Monitor failures and usage so rising criticality is visible.
- Create succession and knowledge-transfer requirements for maker-built production solutions.
Diagnostic questions
- Which low-code automations would stop important work if they failed today?
- Who receives and owns failure alerts?
- Can someone other than the maker diagnose and change the solution?
- Is support level tied to business criticality?
- What triggers a maker-supported flow to become an operationally supported service?
What good looks like
Experimentation stays fast, but criticality has consequences. Important low-code solutions have named owners, appropriate support tiers, monitored failure paths, controlled change and a lifecycle that survives staff movement.
Where Mellorca fits
Mellorca can inventory low-code and automation estates, classify operational criticality, establish ownership and support models, improve monitoring and redesign fragile workflows into governed business automation.
Sources and further reading
- Microsoft Power Platform — Center of Excellence governance patterns
- Microsoft Power Platform — Support strategy maturity levels
Method note
Microsoft Power Platform guidance is used as a current example of low-code operating governance. The underlying ownership and support principle applies more broadly, but support tiers and implementation controls must be adapted to the organization and platform actually in use.