Enterprise Automation · Implementation · Adoption
Turning a manual POS migration into a scalable implementation system
A large franchise POS migration was being coordinated almost entirely by hand. I redesigned the operating workflow around self-service scheduling, calendar-triggered automation, centralized tracking, templated communications, and exception management.
- migration throughput increase
- 7×
- coordination (was 20–30 hrs/wk)
- ~20 min/wk
- centers in rollout
- ~200
- ahead of Dec. 31 target
- ~2 mo early
The problem
When I took over the migration, the technical rollout was only part of the problem. The coordination around the migration was highly manual.
For each store, someone had to call the location, compare schedules, agree on a migration date, send a one-off calendar invitation, manually record the migration, manually track which communications were due, write and send reminder emails, monitor replies, and determine whether intervention was needed.
At that point, the program was migrating roughly 2 centers per week. Managing scheduling, communications, and follow-up consumed approximately 20–30 hours per week. Every location that remained on the legacy system also carried an additional cost of $125 per month. The project had a target completion date of December 31.
Before: a person as the orchestration layer
Identify Store
Call Store
Compare Schedules
Agree on Migration Date
Create Calendar Invite
Manually Record Migration
Track Communication Dates
Write / Send Email
Remember Follow-Up
Track Reply
Repeat
The process required a person to act as the orchestration layer. That did not scale across hundreds of locations.
The redesign
The goal wasn't to automate the migration. It was to automate the coordination around the migration so the team could focus on the locations that actually needed attention.
The redesigned workflow moved the predictable path into the system and preserved human involvement for exceptions.
The new workflow
Store Self-Schedules
Calendar Event Created
Zapier Detects New Migration
Location Added to Tracking Database
Migration Date Drives Communication Logic
Automated communication cadence
- 6 weeks out → preparation email
- 1 month out → stage-specific email
- 2 weeks out → readiness reminder
- 1 week out → final preparation
- 1 day out → migration-day reminder
Store Reply?
No
Continue Automated Cadence
Yes
Alert Jackson
Human Review
Migration
Status / Completion Tracking
Inside the system
1. Self-service scheduling
The store scheduled its own migration. This removed the need for repeated phone calls and calendar coordination.
2. Calendar as the event source
The calendar became the trigger for the workflow. Once a migration was scheduled, the event could drive everything that followed.
3. Zapier as the orchestration layer
Zapier detected the scheduled migration and moved the relevant information into the tracking system — not a complex backend architecture, just the connective layer.
4. Spreadsheet as the first database
The original tracking layer was a spreadsheet. It was not a sophisticated database, but it was sufficient for the need and allowed the process to be implemented quickly.
Use the simplest system that reliably solves the problem.
5. Date-based communication logic
The migration date controlled which communication should be sent and when — 6 weeks, 1 month, 2 weeks, 1 week, and 1 day out, each communicating what mattered at that point in the migration.
6. Reply alerts
A reply did not disappear into the automation. A response created an alert for Jackson to review — a human-in-the-loop exception path.
7. Monday.com evolution
The workflow later moved from the spreadsheet into Monday.com, adding clearer statuses, ownership, dashboards, more automation, and better operational visibility.
Architecture view
Store
Self-Service Scheduling
Calendar
Zapier
Spreadsheet Database
Date-Based Automation
Templated Email Cadence
Reply Detection
No reply / no issue
Continue
Reply / exception
Human review
Spreadsheet → Monday.com
Statuses
Owners
Dashboards
Additional automation
Human-in-the-loop design
The system handled the normal path. Human attention was reserved for replies, unusual questions, blockers, exceptions, and location-specific issues.
Business impact
Throughput
Before
~2 centers/week
After
~14 centers/week
Approximately 7× higher migration throughput.
Administrative effort
Before
20–30 hrs/week
After
~20 min/week
The recurring scheduling and communication workload became a short Monday-morning exception review — roughly a 98% reduction in recurring administrative effort.
Project timeline
Target
Dec. 31
Actual
First week of Nov.
The rollout finished nearly two months ahead of the target date.
Financial consequence
$125/mo
cost per unmigrated center
Accelerating the migration reduced the amount of time locations remained on the legacy platform and therefore reduced recurring platform costs across the network.
My role
I redesigned the coordination workflow, implemented the automation layer, standardized the communications, created the tracking model, and managed the migration program.
- Process redesign
- Workflow automation
- Implementation management
- Stakeholder communication
- Migration tracking
- Exception handling
- Adoption
- Reporting
- Operational improvement
What this demonstrates
- Enterprise implementation
- Workflow automation
- Zapier
- Monday.com
- Process redesign
- Human-in-the-loop systems
- Change management
- Adoption
- Operational reporting
- Scale
- Business impact
The automation didn't just save my time. It increased the capacity of the migration program itself.
The best automation often removes the coordination bottleneck around the work rather than trying to automate the work itself.