The Lobbi Delivery Team
Operational Systems Engineering
Power Automate is a capable tool at low volume. The problem is that most implementations are designed at low volume and never stress-tested against what production actually looks like, hundreds of concurrent triggers, multi-thousand-row data payloads, and API calls to carrier portals or CRMs that rate-limit aggressively.
When those flows start failing, the instinct is to debug logic. The actual problem is almost always architectural.
The throttling ceiling nobody warns you about
Microsoft licenses Power Automate actions in tiers. A standard per-user license includes roughly 40,000 actions per day. That sounds like a lot until you trace how many actions a single approval workflow actually consumes: each Teams notification, each SharePoint record write, each condition evaluation, each email, they all count. A well-built approval flow that processes 200 requests a day can hit 10,000+ actions before lunch.
When you hit the ceiling, flows don't fail loudly. They queue. Requests that should resolve in seconds start taking 20 minutes. Users assume the system is broken and re-submit. Now you have duplicate records and a support ticket.
Concurrency defaults will wreck your data
By default, Power Automate processes loop iterations and triggers concurrently. That's fine for read operations. For write operations, especially anything touching shared SharePoint lists or SQL tables, concurrent execution causes race conditions.
We see this constantly in insurance and mortgage shops where multiple policy submissions hit a flow simultaneously. The flow logic is correct. The concurrency setting is wrong. Records overwrite each other, or unique ID generation collides, and the data layer ends up in an inconsistent state.
The fix is two steps: set the concurrency control to degree 1 for any flow writing to shared state, and architect separate flows for read and write paths. Not glamorous, but it eliminates the class of problem entirely.
Trigger architecture is the root cause most teams miss
Polling triggers, "when an item is created in SharePoint," "when a new email arrives", check for changes on a schedule. Standard plans poll every few minutes. Premium plans poll more frequently. But polling is fundamentally reactive and adds latency by design.
When your operation requires near-real-time response, a new submission that needs to route within 30 seconds, or a carrier API response that kicks off a downstream workflow, polling triggers cannot meet the requirement. You need push triggers, which require the source system to POST to a webhook endpoint, or you need to rearchitect around a different execution model entirely.
The failure mode here is subtle: the flow works fine in development (low volume, no latency pressure) and fails operationally (high volume, SLA requirements). By the time the problem surfaces, the business has built process expectations around incorrect behavior.
When patching stops working
If you are regularly adjusting flow logic to work around throttling, adding sleep steps to avoid race conditions, or rebuilding trigger chains to compensate for polling delay, you are past the ceiling.
Power Automate's ceiling is real and architecturally enforced. It is not a bug you can fix. The next layer up is a custom integration service: an Azure Function or .NET worker process that handles the execution logic, talks directly to the APIs involved, and uses a proper queue (Azure Service Bus or Storage Queue) for durability and throughput. The Power Automate flow, if you keep it at all, becomes a thin trigger layer that hands off to the service. not the orchestration layer itself.
The honest diagnostic question is: are you adding complexity to work around the tool, or is the tool genuinely suited for this load? When the answer is the former, the cost of staying on Power Automate typically exceeds the cost of building the right solution.
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