OWI-C. The company work-position index.
A commercial index measuring where your company sits between machine work and human work — position, capability, human demand, readiness, motion, and the gap from your intended optimum.
The AI transition happens one company at a time.
National statistics describe the AI transition after it has happened. Inside a company, the transition is a live decision: which work moves to machines, which work stays human, and in what order. Most firms navigate that decision with anecdote — a pilot here, a headcount debate there — and no instrument to tell them where they actually stand.
OWI-C measures the firm's machine-work capacity — how much of its work its systems, automation, and AI could carry — against its human-work structure — how much of its work should remain human because of judgment, trust, regulation, accountability, or tacit knowledge. One score, both sides, at the resolution where decisions are made.
OWI-C is a management instrument: repeatable over time, comparable across business units, and specific enough to shape workforce, automation, and investment strategy.
What the index tells you.
Where you actually are
A defensible baseline for the firm's machine–human balance today — not the balance your strategy deck assumes.
Where you are heading
Scored over time, OWI-C shows whether the balance is moving, how fast, and whether the movement matches intent.
Which work moves first
The diagnostic beneath the score separates work that is optional in principle from work that is human by necessity or by choice.
How units differ
Applied across business units, the index reveals where the transition is concentrated and where it has not begun.
Maturity models grade the program. OWI-C measures the work.
| Framework | What it measures | The OWI-C difference |
|---|---|---|
| Gartner AI Maturity Model | AI capability maturity — strategy, governance, engineering, data, operating model, culture. | OWI-C measures the work itself: machine-capable work against human-required work. |
| MIT CISR Enterprise AI Maturity | Enterprise AI value maturity, ranked in stages. | OWI-C does not rank maturity stages. It measures the company's machine–human work balance. |
| Nintex Process Automation Maturity | Process-automation adoption and benchmarking, usually RPA- and BPM-centered. | OWI-C is not process automation alone: it covers AI and robotics capability plus the work that should stay human. |
| Workato Enterprise Automation Maturity | Automation sophistication in six levels, from task automation toward AI-driven decisions. | OWI-C is not a ladder. It allows any company-defined optimum — low, middle, or high. |
| RPA & consulting maturity models | Stage-based progress: ad hoc → opportunistic → operationalized → scaled → optimized. | OWI-C does not ask how advanced you are. It asks whether you are in the right machine–human position. |
Every model above answers one question: how mature is the AI and automation program. OWI-C answers the questions that decide the firm: where should work sit between humans and machines, where is the company now, how fast is it moving, and is it moving toward the right position. Position, capability, human demand, readiness, motion, and target gap — one instrument. No maturity model measures this.
Where you actually are
A defensible baseline for the firm's machine–human balance today — not the balance your strategy deck assumes.
Where you are heading
Scored over time, OWI-C shows whether the balance is moving, how fast, and whether the movement matches intent.
Which work moves first
The diagnostic beneath the score separates work that is optional in principle from work that is human by necessity or by choice.
How units differ
Applied across business units, the index reveals where the transition is concentrated and where it has not begun.
Maturity models grade the program. OWI-C measures the work.
Maturity models measure organizational capability. OWI-C measures work-position reality — and the capability, friction, and speed of moving it.
Where the work actually sits
The company's real position between machine work and human work — measured from the work itself, not inferred from program maturity.
Both sides of the balance
What machines can already carry — and what should remain human because of judgment, trust, regulation, accountability, or tacit knowledge. One score, both sides.
Direction, speed, and friction
Whether the balance is moving toward machine work, toward human-dependent work, or holding — how fast, and where readiness and resistance govern the pace.
Against a company-defined optimum
Not a ladder where higher is better. OWI-C scores the gap from the firm's own intended equilibrium — under-automated and over-automated are both findings.
Scored, diagnosed, and instrumented.
An OWI-C engagement follows the firm's standard three moves. Disnesta Research constructs the score from your operating data and documented method. Disnesta Advisory turns the diagnostic into workforce and automation decisions your leadership can act on. Where it is warranted, Disnesta Labs instruments the index into your systems so the score updates as the organization changes.