Ready to automate?
Let's chatHow This Checklist Helps
Most automation projects fail not because of bad technology, but because teams skip the planning phase. They jump straight into building without understanding the process, the people involved, or what success actually looks like.
The Expensive Mistake
This checklist helps you avoid the three most common automation failures:
- Automating processes nobody fully understands
- Building systems that break on edge cases
- Launching tools that teams refuse to adopt
For a deeper dive into automation strategy, read our Complete Guide to Business Automation.
Why Planning Matters
of automation projects fail to meet expectations
Source: Gartner
average wasted investment on failed automation
Source: Industry data
cause of failure: poor planning, not bad technology
Source: McKinsey
The Five Question Categories
Understanding Your Current Process
Before you automate anything, you need to know exactly what you are automating. This sounds obvious, but most teams have blind spots in their own workflows.
Can you describe every step of this process from start to finish?
Hidden steps cause automation failures. The steps people skip over when explaining are often the ones that break your automation.
"It depends" or "Sometimes we do X"
Shadow someone doing the work for a full cycle. Take notes on every click, every decision point, every handoff.
Who performs each step, and how long does each step take?
This identifies bottlenecks and clarifies ownership. You cannot calculate ROI without knowing actual time spent.
No one knows the actual time spent on each step
Use time tracking for one week before automating. Real data beats estimates every time.
What triggers this process to begin?
Automations need clear start conditions. If humans 'just know' when to start, your automation will not.
"We just know when to start"
Look for emails, form submissions, calendar events, or status changes that signal the start.
Where does this process break down most often?
These breakdown points are your highest-value automation targets. Fix the pain first.
"It works fine" (this usually means problems are hidden)
Ask the people doing the work, not managers. Frontline workers know where the real problems are.
The Whiteboard Test
Red Flags vs Green Lights
- "It depends on the situation"
- "Usually takes a few hours"
- "We just kind of know when to start"
- "It works fine"
- "Here are the 7 steps we follow"
- "Takes 47 minutes on average"
- "Triggered by form submission"
- "Step 4 fails 12% of the time"
Defining Business Goals
Automation for its own sake wastes money. Every automation project needs a clear business reason and measurable goal.
Why are you considering automation for this process specifically?
This prevents 'shiny object' automation. The reason should connect to real business value.
"Because we can" or "Competitors are doing it"
Connect to revenue, cost savings, or customer experience. If you cannot, reconsider the project.
What does success look like for this automation project?
You cannot improve what you do not measure. Vague goals lead to vague results.
Vague goals like "be more efficient"
Define specific numbers: hours saved per week, error rate reduction, or response time improvement.
How much time or money could you realistically save?
This determines if automation is worth the investment. Some processes cost more to automate than to keep manual.
Wild guesses without data backing them up
Calculate fully loaded costs: salary, benefits, overhead. A $25/hour employee costs closer to $35-40/hour.
What happens if you do nothing and keep the current process?
Some processes do not need automation. Doing nothing is always an option.
"We have to do something"
Compare costs honestly. Sometimes manual processes with good people are the right answer.
Lock In Your Metrics
The Hidden Cost of Skipping This Checklist
Evaluating Data and Systems
Automation depends on reliable data and connected systems. Garbage in, garbage out applies doubly when machines make decisions.
What software systems does this process involve?
Integration complexity drives project scope. More systems means more potential failure points.
More than 4-5 systems involved
Map every system and how they connect (or do not). Include spreadsheets and email as systems.
Is your data clean, consistent, and accurate?
Bad data breaks automation immediately. An automated system will happily process incorrect data at scale.
Different spellings, missing fields, duplicate records
Run a data quality audit before starting. Fix data problems before they become automation problems.
Data Quality Reality Check
John SmithSMITH, JOHNjsmithPhone: ___Email: ___Address: ___ID: 1001ID: 2847ID: 3092(Same customer)Last updated: 2019(3+ years old)Do you have API access to all required systems?
No API means manual workarounds or brittle screen scraping. This can make or break a project.
"We will figure that out later"
Check API documentation and rate limits early. Some vendors charge extra for API access.
How do you currently handle exceptions and edge cases?
Automations fail on exceptions that humans handle intuitively. Edge cases will find your automation.
"We just handle those manually"
Document every exception. Plan automation for the 80% case first, then decide how to handle the rest.
Data Quality Warning
Planning for People and Change
Technology is the easy part. Getting people to adopt new tools and trust automated processes is where most projects stall.
Who will be affected by this automation?
Overlooked stakeholders will block adoption. Changes ripple further than you expect.
"Just our team"
Map upstream and downstream dependencies. Who sends input? Who receives output?
Stakeholder Impact Map
Daily interaction with the system
Receive outputs from the process
Approve budget and measure results
Have stakeholders been consulted about changing this process?
People resist changes they did not help create. Early involvement builds buy-in.
"We will tell them when it is ready"
Involve affected teams from day one. Their feedback will improve the solution.
Who will maintain this automation after it is built?
Automations require ongoing updates and fixes. Without clear ownership, systems decay.
"The vendor handles that" or "We will figure it out"
Assign ownership before you build. This person should be involved in design decisions.
Is there organizational resistance to this change?
Political resistance kills projects regardless of technical merit. Address it directly.
"Some people prefer the old way"
Find champions in skeptical teams. Address concerns directly rather than working around them.
Ownership Matters
Technical Requirements
Even simple automations need error handling, security review, and performance planning. Skipping these creates technical debt you will pay for later.
What happens when the automation fails?
All automations fail eventually. The question is whether you will know about it and have a plan.
"It should not fail"
Design alerts, fallbacks, and manual override procedures. Test failure scenarios before going live.
Are there compliance or security requirements?
Violations create legal and financial risk. Automation can accidentally expose sensitive data.
"We will check with legal later"
Involve compliance teams early. Document data flows and who has access to what.
Does this need to run in real-time or on a schedule?
Real-time is harder and more expensive to build and maintain. Many processes do not need instant execution.
"We need it instantly" without business justification
Many processes work fine with 15-minute or hourly batches. Start with scheduled runs and add real-time later if needed.
Silent Failures
Measuring Success
The final question ties everything together. If you cannot measure it, you cannot improve it.
How will you measure whether this automation is working?
This proves ROI and identifies improvement opportunities. Without measurement, you are guessing.
"We will know it when we see it"
Track before-and-after metrics. Review monthly for the first quarter to catch issues early.
Review these 20 questions before every automation project. Print them out, discuss them with your team, and document your answers. The hour you spend on this checklist will save you weeks of rework.
Your Next Steps
Need Help?
We build custom dashboards, AI agents, and workflow automations that you own forever. No monthly fees, no vendor lock-in. Just powerful tools tailored to how your business actually works.