ROI

Make the business case before scaling AI.

Kenzai measures AI co-workers against the outcomes business owners care about: time saved, costly misses avoided, cycle time improved, and people freed up for growth work.

Baseline to Pilot to Measure to Scale

Pilot metrics

Measure the first workflow in business terms.

These are planning targets and measurement frames, not generic AI claims. The discovery sprint defines the real baseline for each business.

0
workflow to start

A narrow pilot is easier to own, measure, and improve.

0 wk
discovery window

Map the bottleneck, owners, systems, risks, and success metric.

0 wk
build sprint

Configure the first AI co-worker around real workflow activity.

0%
capacity target

A practical target for productivity improvement in a focused workflow.

ROI checklist

A simple way to decide where AI should start.

The strongest first use case is usually not the flashiest one. It is the repeatable workflow everyone already knows is slowing the business down.

01

Find the repeated work

Where do people chase updates, copy information, compare records, or prepare the same response every week?

02

Estimate the cost

Count time spent, delays created, misses caused, and margin leakage from avoidable manual work.

03

Pick one workflow

Choose one workflow with a clear owner, a clear starting point, and a clear definition of success.

04

Measure before scaling

Track time saved, errors prevented, cycle time improved, and exceptions reduced before expanding.