AI Transformation

Your AI program is approved. No one has mapped where to deploy it.

AI adoption without an organizational map is expensive guesswork. OWI maps work at the task level and shows where automation accelerates output and where human oversight must remain.

The problem.

The board approved the investment and the vendors are selected, but no one has mapped which workflows are genuine automation candidates or how to sequence the transition. AI deployed into an unmapped organization fails gradually: adoption lags, resistance runs high, and the gains that justified the spend take twice as long to arrive.

What OWI does.

OWI maps work at the task level: what people actually do, and how rule-based versus judgment-dependent each task is. We identify where AI augmentation accelerates output, where errors are costly enough to keep human oversight, and how to sequence adoption around operational reality.

Who it's for.

Organizations with an active AI or automation program that want to deploy it against how work actually happens, not how they assume it happens.

What the model captures.

People

Task frequency, repeatability, and required judgment

Time split across high- and low-cognitive-load work

Readiness and comfort with AI-assisted workflows

Process

Rule-based versus exception-heavy workflows

Handoff points where AI would reduce latency

Processes where human oversight must remain

Systems

Tools already capable of AI augmentation

Data quality and availability for automation

Integration readiness of existing platforms

See it on your own organization.

We'll show you what OWI captures, what stays anonymized, and how the evidence holds up.

Request a walkthrough