Systems That Work

The 10-Minute Weekly Maintenance Routine That Prevents Automation Disasters

Kevin Farrugia
The 10-Minute Weekly Maintenance Routine That Prevents Automation Disasters

Here's how most automation disasters happen:

Everything works fine. Then performance slowly degrades. Error rates gradually increase. Processes start taking longer. Small issues crop up occasionally. But nobody notices because it happens incrementally.

Then one day, everything stops working. Leads aren't being captured. Orders aren't processing. Notifications aren't sending. And you're in crisis mode trying to figure out what went wrong.

The frustrating part? Almost every automation disaster I've seen was completely preventable. The warning signs were there weeks earlier. Nobody was looking for them.

The Maintenance Reality

Your automation isn't "set it and forget it." It's more like "set it and check it regularly."

Think about it: APIs get updated. Services change rate limits. Data formats evolve. Team members come and go. Business rules shift. Your automation needs to adapt to all of this.

The businesses that have reliable automation don't have better systems. They have better maintenance routines.

The 10-Minute Weekly Check

I recommend this routine to every client. It takes about 10 minutes each week and catches 90% of problems before they become serious.

Every Monday morning (or whatever day works for you), run through this checklist:

1. Check Processing Volumes (2 minutes)

What to look at:

  • How many records did each automation process last week?
  • Is that number normal?
  • Any unexpected spikes or drops?

What you're looking for:

Red flags:

  • "Usually processes 100 leads/week, only processed 12 this week"
  • "Should process orders daily, hasn't run in 3 days"
  • "Normally 5 errors/week, had 47 this week"

Where to look:

  • Your automation platform's history/runs page
  • Any monitoring dashboards you've set up
  • Summary reports if you've automated them

Quick fix: If volume is off, check if the trigger source changed. Did the form stop sending data? Did the integration disconnect? Is there a filter excluding records?

Real example: A client's webinar registration workflow suddenly dropped from 50/week to 2/week. Turns out their marketing team had changed form platforms and forgot to update the integration. Caught it in weekly review before the next webinar.

2. Review Error Logs (3 minutes)

What to look at:

  • Which workflows had errors?
  • How many errors?
  • What were the error messages?
  • Any patterns?

What you're looking for:

Patterns to watch:

  • Same error repeating (system issue)
  • Errors increasing over time (degrading performance)
  • Errors on specific record types (data quality issue)
  • Errors at specific times (rate limiting or scheduled maintenance)

Common errors and what they mean:

"API rate limit exceeded"

  • You're making too many requests too fast
  • Need to add delays between calls or batch processing

"Invalid authentication" or "401 Unauthorized"

  • API credentials expired or changed
  • Need to reconnect the integration

"Record not found" or "404"

  • Trying to update something that doesn't exist
  • Need better existence checking before updates

"Timeout" or "Gateway error"

  • External service slow or down
  • Need retry logic with longer waits

Quick fix: For recurring errors, don't ignore them. Add them to your backlog to fix. For one-off errors, note if they're happening to specific data types or at specific times.

Real example: Weekly review showed increasing "timeout" errors on one workflow. Turned out an external API was getting slower as our data volume grew. We added retry logic and batching before it became a full outage.

3. Spot Check Recent Records (2 minutes)

What to look at: Pick 3-5 recent automation runs and verify they did what they should have done.

What to check:

  • Did the data transfer correctly?
  • Were records created/updated as expected?
  • Did notifications get sent?
  • Are field values correct?

Why this matters: Sometimes automations "work" but produce wrong results. No errors logged, but data is incorrect. Only way to catch this is manual verification.

Quick fix: If you spot incorrect data, check if mapping changed, field names updated, or data format shifted.

Real example: Client's deal creation workflow was "working" with no errors. Weekly spot check revealed that deal amounts were all showing as $0. A field mapping had changed and the automation was pulling from the wrong field. No errors, just wrong data for three weeks.

4. Check Integration Health (2 minutes)

What to look at:

  • Are all your integrations still connected?
  • Any authorization warnings?
  • Any API version deprecation notices?

Where to check:

  • Your automation platform's integrations page
  • Email for service notifications
  • Status pages for critical services

What you're looking for:

Warning signs:

  • "Reconnect needed"
  • "Authorization expires in 7 days"
  • "API v1 deprecated, migrate to v2 by [date]"
  • "Connection last successful 14 days ago"

Quick fix: Reconnect any integrations showing warnings. Don't wait until they break.

Real example: Weekly check showed "OAuth token expiring in 5 days" for a CRM integration. Took 30 seconds to reconnect. Without that check, the entire lead capture system would have stopped working mid-week.

5. Review Performance Metrics (1 minute)

What to look at:

  • How long do workflows take to complete?
  • Are processing times increasing?
  • Any workflows consistently slow?

What you're looking for:

Red flags:

  • "Used to complete in 30 seconds, now takes 5 minutes"
  • "Processing times steadily increasing over weeks"
  • "Timing out before completion"

Common causes:

  • Growing data volumes without optimization
  • Inefficient filtering or searching
  • API rate limiting kicking in
  • Too many sequential steps

Quick fix: For slow workflows, look for opportunities to batch operations, add parallel processing, or optimize data fetching.

Monthly Deeper Dive (30 minutes)

Once a month, do a more thorough review:

1. Full Error Analysis (10 minutes)

Look at all errors from the past month:

  • What are the top 5 error types?
  • Which workflows have the highest error rates?
  • Are errors trending up or down?
  • What percentage of runs fail?

Create a prioritized fix list. Target anything with >5% error rate first.

2. Data Quality Check (10 minutes)

Sample 10-20 records processed by your most critical workflows:

  • Is all data transferring correctly?
  • Are calculations accurate?
  • Are conditional rules working as expected?
  • Any fields consistently empty that shouldn't be?

3. Business Rule Validation (10 minutes)

Review with your team:

  • Are the automation rules still correct?
  • Have business processes changed?
  • Are the right people getting notified?
  • Are records being routed appropriately?

Business logic changes faster than automation. This ensures your automation keeps up.

Quarterly System Audit (2 hours)

Every quarter, do a comprehensive review:

1. Documentation Update (30 minutes)

  • Are workflow descriptions still accurate?
  • Are troubleshooting guides up to date?
  • Are team member references current?
  • Are integration notes still relevant?

2. Optimization Review (30 minutes)

  • Can any workflows be simplified?
  • Are there redundant automations?
  • Can anything be consolidated?
  • Where can you reduce complexity?

3. Scalability Check (30 minutes)

  • Will current automation handle 2x the volume?
  • Are there bottlenecks forming?
  • What will break first as you grow?
  • What needs to be rebuilt vs. optimized?

4. Security Review (30 minutes)

  • Are API keys still valid?
  • Who has access to what?
  • Are credentials stored securely?
  • Any former team members still in integrations?

Your Weekly Checklist Template

Copy this checklist and use it every week:

WEEKLY AUTOMATION MAINTENANCE - [Date]

Processing Volumes:
[ ] Lead capture: ___ processed (normal: ___)
[ ] Order processing: ___ processed (normal: ___)
[ ] [Workflow 3]: ___ processed (normal: ___)
[ ] Any unusual volume changes? Notes:

Error Review:
[ ] Total errors this week: ___
[ ] Top error types:
  1. _________________________
  2. _________________________
  3. _________________________
[ ] Any patterns or concerns? Notes:

Spot Check (check 3-5 recent records):
[ ] Workflow 1: Data correct? Y/N - Notes:
[ ] Workflow 2: Data correct? Y/N - Notes:
[ ] Workflow 3: Data correct? Y/N - Notes:

Integration Health:
[ ] All integrations connected? Y/N
[ ] Any warnings or expiration notices? Notes:

Performance:
[ ] Any workflows running slower than normal? Notes:
[ ] Any timeouts or delays? Notes:

Action Items:
[ ] _________________________
[ ] _________________________
[ ] _________________________

Next week's focus:
_________________________

Monthly Checklist Template

MONTHLY AUTOMATION REVIEW - [Month/Year]

Error Analysis:
[ ] Total errors this month: ___
[ ] Error rate: ___% (errors/total runs)
[ ] Top 5 error types and frequencies:
  1. _________________________
  2. _________________________
  3. _________________________
  4. _________________________
  5. _________________________
[ ] Errors to prioritize fixing:

Data Quality Check:
[ ] Sample size checked: ___
[ ] Data accuracy rate: ___%
[ ] Issues found:
[ ] Fields to fix:

Business Rule Validation:
[ ] Reviewed with team? Date: _____
[ ] Rules still accurate? Y/N
[ ] Processes changed? Y/N - Details:
[ ] Updates needed:

System Health:
[ ] Overall system stability: Excellent/Good/Fair/Poor
[ ] Biggest concern:
[ ] Biggest win this month:

Action Items for Next Month:
[ ] _________________________
[ ] _________________________
[ ] _________________________

The Early Warning Signs

Here's what to watch for - these are the signals that something needs attention:

Immediate attention (fix this week):

  • Any workflow with >10% error rate
  • Processing volume dropped by >50%
  • Critical integration disconnected
  • Authentication errors
  • Complete workflow failures

Soon (fix this month):

  • Errors increasing week over week
  • Processing times steadily increasing
  • Error rate >5%
  • Data quality issues appearing
  • Performance degradation

Planned maintenance (fix this quarter):

  • Workflows becoming overly complex
  • Documentation outdated
  • API version deprecations coming
  • Scalability concerns
  • Optimization opportunities

Making It Stick

The hardest part isn't knowing what to check. It's actually doing it consistently.

Tips to make it a habit:

  1. Same time every week - Monday mornings work well for most
  2. Calendar block - Protect this 10 minutes
  3. Make it visible - Keep checklist somewhere you'll see it
  4. Track streak - "15 weeks in a row of maintenance"
  5. Share results - Quick Slack update to team builds accountability

For teams:

  • Rotate who does the weekly check
  • Review findings in Monday standup
  • Celebrate catching issues early
  • Track maintenance as a metric

When Maintenance Finds Problems

The point of maintenance isn't to find problems. It's to prevent them. But when you do find issues, here's how to handle them:

Prioritize by impact:

  1. Critical - Affecting customers or revenue now
  2. High - Will become critical soon
  3. Medium - Degrading performance or reliability
  4. Low - Nice to fix but not urgent

Fix or defer:

  • Can you fix it in <15 minutes? Do it now.
  • Will it take longer? Add to backlog with priority.
  • Not sure how to fix it? Note it for research.

Don't let the backlog grow forever:

  • Set a monthly goal for backlog items fixed
  • Target 2-3 fixes per month minimum
  • Review backlog quarterly, remove resolved items

The ROI of Maintenance

"Is 10 minutes a week really necessary?"

Here's what happens without regular maintenance:

Time spent in crisis mode:

  • 2-4 hours debugging when something breaks
  • 4-8 hours rebuilding broken automations
  • Hours of manual work when automation fails
  • Stress and urgency of emergency fixes

Time spent with maintenance:

  • 10 minutes weekly = 8.6 hours/year
  • 30 minutes monthly = 6 hours/year
  • 2 hours quarterly = 8 hours/year
  • Total: ~23 hours/year

Business impact:

  • Missed leads (revenue loss)
  • Customer experience issues
  • Team productivity lost
  • Technical debt accumulation

One automation disaster that takes a day to fix costs more than a year of maintenance. And you'll typically prevent 3-5 potential disasters per year.

The math is clear: Prevention is cheaper than crisis management.

Getting Started

If you're not doing any maintenance now, start here:

Week 1: Just check processing volumes. That's it. 2 minutes. Week 2: Add error review. Now you're at 5 minutes. Week 3: Add spot checks. Now you're at 7 minutes. Week 4: Add integration health check. You're at the full 10 minutes.

Build the habit incrementally. Once it's routine, you won't skip it because you'll see the value.

Need Help Setting This Up?

If you're looking at your automation and thinking "I have no idea how to check any of this," you're not alone.

Most automation platforms don't make monitoring and maintenance easy. You need to set up logging, create monitoring workflows, and build reporting dashboards.

I help businesses set up automation that's actually maintainable, with built-in monitoring, clear documentation, and straightforward maintenance routines.

Schedule a system audit and we'll review your current automation, identify maintenance gaps, and set up a monitoring system that actually works.

Because 10 minutes of prevention beats hours of crisis management.

#maintenance
#reliability
#best-practices
#prevention

About Kevin Farrugia

I taught English for 11 years. Now I teach businesses how AI really works. Production-ready AI automation, consulting, and training—no complexity, no hype.