Automate this workflow, or redesign it before we automate?

While 53.7% of organizations automate existing workflows for quick wins, 57.6% of successful AI companies prioritize redesigning work, finding that bolting tools onto old workflows is the leading cause of AI pilot failures.

2026-07-20 · Counsel verdict · AIssential

The question

We have a costly manual workflow and pressure to apply AI to it. Do we automate the process as it exists today to show a quick return, or redesign the process first and automate the redesigned version — accepting a longer path to value?

Counsel's position

Redesign the workflow first, then automate it, to achieve significant, sustainable AI-driven value and efficiency.

Verdict

The verdict: Redesign the workflow first, then automate it, to achieve significant, sustainable AI-driven value and efficiency.

57.6% of successful AI companies prioritize workflow redesign over automation

Given your pressure to show a return, redesigning the process rather than just automating it breaks through the ROI ceiling.

• Stop Just Automating: Why Redesigning Work is the Secret to AI ROI

Reimagining workflows drives real ROI while basic automation only saves time

Given your choice between quick automation and redesign, bolting AI onto a legacy process fails to transform the underlying workflow.

• Everyone’s using AI. Almost nobody’s actually winning with it.

AI value requires redesigning end-to-end processes rather than isolated tasks

Given your pressure to apply AI, deploying tools without updating the underlying workflow leaves critical intelligence undocumented and scattered.

• Redesign Work Before You Add More AI Agents

Workflow redesign is the strongest factor for measurable AI business impact

Given your goal of a quick return, local time savings from basic automation are often absorbed by existing process bottlenecks.

• Adoption Is Not Absorption

AI workflow redesign is the primary source of enterprise ROI

Given your pressure to apply AI, bolting tools onto old workflows is the leading cause of AI pilot failures.

• The Org Age of AI: A Collection of Enterprise AI Adoption Guides

Read another verdict

• Buy a tool for this process, or build around our own knowledge?
• Our documents are a mess. Clean them up before AI, or after?
• How do we measure the return on an AI workflow — and what baseline is honest?
• Our best people's know-how isn't written down — can AI even use it?
• Which process should we point AI at first?
• Our AI pilot works but nobody uses it — fix the workflow or kill it?
• Rent AI from a vendor, or run your own?
• Let non-developers ship AI-generated code?

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