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Power Automate,
Enterprise-scale workflow automation with Microsoft Power Automate

Power Automate — Automation Case Study

Complex enterprise workflow automation implementations using Microsoft Power Automate, covering approvals, RPA, and cross-system integrations.

Client
Woyce
Automation
Engagement
Design + Build
Full delivery
Year
2023
Delivered
Team
Woyce
4 disciplines
Stack
Power Automate · Power Automate Desktop
+ 5 more
Status
● Live
In production
🔒 app.woyce.ai/power-automate
Power Automate – 1
Power Automate – 2
Power Automate – 3
Automate
01 / 03
The outcomes

Three numbers that
tell the story upfront.

01Automated workflows
30+

Automated workflows delivered

Complex enterprise workflow automation implementations using Microsoft Power Automate, covering approvals, RPA, and cros…

02Manual work
500hrs

Manual work eliminated per month

Complex enterprise workflow automation implementations using Microsoft Power Automate, covering approvals, RPA, and cros…

03Audit trail
100%

Audit trail on all approvals

Complex enterprise workflow automation implementations using Microsoft Power Automate, covering approvals, RPA, and cros…

Want the full story? Keep scrolling for the problem we solved, what we built, and the results it delivered.
03 / 05
The problem

Before we got here,
here's what wasn't working.

A series of Power Automate implementations for enterprise clients covering approval workflows, RPA (Robotic Process Automation) for legacy system interaction, scheduled data synchronisations, and event-driven integrations across Microsoft 365 and third-party SaaS tools.

“Power Automate throttling limits on high-volume flows”
— A core challenge we solved

We confirmed every challenge with the team before writing a line of production code. The right column lists the pain points we tackled head-on and how we approached each one.

What wasn't working

BEFORE

Power Automate throttling limits on high-volume flows

Redesigned high-volume flows to use batch processing patterns and Dataverse bulk API operations, staying within licence limits.

#1
What they came to us with“We need this solved. Can you help?”
03b / 05
Our approach

Don't over-engineer.
Solve what matters, ship fast.

The instinct on complex projects is to rebuild everything from scratch. We pushed back. A full rewrite often means months of regressions while engineering rebuilds features that were already working.

We mapped the existing workflow against actual usage. The result was clear: a small set of features accounted for the majority of user time. We rebuilt the core, shipped fast, and extended outward.

Operating principleSolve the highest-leverage problems first. Validate before building. Ship a v1 that proves the concept, then iterate — rather than waiting for a perfect v1 that never ships.

On the technical side, we made clear decisions early and held them. The right column shows what we chose, and why.

4 decisions we made early

CHOSEN / REJECTED
Decision 01

Approval Workflow Automation — how we built it

Chose

Custom Approval Workflow Automation — built for this product's exact needs and data model.

Rejected

Generic SaaS tool that would require heavy workarounds and compromise the user experience.

Decision 02

RPA for Legacy Systems — how we built it

Chose

Custom RPA for Legacy Systems — built for this product's exact needs and data model.

Rejected

Generic SaaS tool that would require heavy workarounds and compromise the user experience.

Decision 03

Scheduled Data Sync — how we built it

Chose

Custom Scheduled Data Sync — built for this product's exact needs and data model.

Rejected

Generic SaaS tool that would require heavy workarounds and compromise the user experience.

Decision 04

Event-driven Triggers — how we built it

Chose

Custom Event-driven Triggers — built for this product's exact needs and data model.

Rejected

Generic SaaS tool that would require heavy workarounds and compromise the user experience.

04 / 05
What we built

4 features that
define the product experience.

Every feature was scoped and shipped with the same priorities: speed, reliability, and staying out of the user's way.

Automation/Approval Workflow Automation
Approval Workflow Automation
ApprovalActive
WorkflowRunning
AutomationReady
30+ — Automated workflows delivered
FEATURE 01

Approval Workflow Automation

Multi-stage approval flows with conditional branching, SLA monitoring, and Teams notifications.

30+Automated workflows delivered
Automation/RPA for Legacy Systems
RPA for Legacy Systems
RPAActive
forRunning
LegacyReady
500hrs — Manual work eliminated per month
FEATURE 02

RPA for Legacy Systems

Power Automate Desktop bots interacting with legacy applications that have no modern API.

500hrsManual work eliminated per month
Automation/Scheduled Data Sync
Scheduled Data Sync
ScheduledActive
DataRunning
SyncReady
100% — Audit trail on all approvals
FEATURE 03

Scheduled Data Sync

Scheduled flows synchronising data between Dataverse, SharePoint, and external SaaS tools.

100%Audit trail on all approvals
Automation/Event-driven Triggers
Event-driven Triggers
Event-drivenActive
TriggersRunning
LayerReady
FEATURE 04

Event-driven Triggers

HTTP webhook triggers enabling real-time flow execution from external systems.

05 / 05
The outcome

What changed,
measured against the day-one baseline.

We benchmark before we touch anything, logging every metric below against its state before we wrote a line of production code.

Metric
Baseline
After Woyce
Automated workflows deliveredPower Automate · Automation
Legacy
30+
Manual work eliminated per monthPower Automate · Automation
Legacy
500hrs
Audit trail on all approvalsPower Automate · Automation
Legacy
100%
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