What we measure

Proof you can evaluate before you commit.

We define success metrics up front and measure outcomes after launch—so you can evaluate progress clearly.

Outcomes vary by workflow; metrics are defined before build.

How we measure success

Success metrics are defined before implementation and reviewed after systems are live to ensure measurable operational improvement.

Hours saved per week

Reduced time spent sorting, retyping, checking, and chasing.

Cycle time

How long a request takes from “received” to “done.”

Follow-ups + approval delays

How often manual reminders are needed and how long approvals sit waiting when ownership or next steps aren’t clear.

Error / rework rate

How often issues occur due to inconsistent inputs or manual steps.

Representative improvements

Once a workflow is automated reliably, teams commonly aim for:

  • less coordination overhead
  • faster routing and clearer ownership
  • fewer missed steps and follow-ups
  • fewer preventable errors and rework
  • more consistent customer updates

Targets vary by workflow complexity, volume, and adoption.

How we define metrics per workflow

  • baseline (current state)
  • target improvement (what “good” looks like)
  • measurement method (how it’s tracked)
  • review timeline (when we evaluate)

Ready to identify your automation opportunities?

We will review your workflow and identify potential automation opportunities and success metrics before any build begins.

Get an Automation Plan