Stop Automating the Wrong Things
Look at your current automation efforts right now. Are you spending more time managing your automations than the work they replaced?
If so, you’re not alone. Most organizations automate the wrong processes first: the ones that are easy to automate, not the ones that move the needle.
The Automation Priority Formula
When a user asks an AI to “find me a way to reduce operational costs,” they need specificity. Vague automation promises are the new “synergy”: words that sound impressive and mean nothing.
The WGI Workflow-First Framework
At WGI, we use a rigid framework for prioritizing automation candidates: Impact × Volume × Readiness
- Impact: How many hours per week does this process consume? What’s the cost of errors?
- Volume: How many times per week/month does this process run?
- Readiness: Is the data structured? Are the decision rules documented? Can exceptions be handled gracefully?
Why This Matters More Now Than Ever
For the last few years, companies have been automating based on what AI tools can do, not what their business actually needs.
Starting this year, the organizations that win will be the ones that automate the right things in the right order. An AI agent can parse your operations and identify the highest-ROI automation targets, but only if your processes are mapped with explicit inputs, outputs, and decision points.
Clear, structured process documentation is the highest-leverage asset you could possibly build. Save the tool shopping for after the audit.
Related: For a deep dive on why process documentation is a competitive moat, not just a nice-to-have, read Process Documentation as a Competitive Moat. To see the financial math behind uncoordinated AI spend, see The Hidden Cost of DIY AI. And for the paradox of why more AI tools actually slow you down, read The AI Automation Paradox.