Rewiring the operating model around AI.
The full transition: which work moves to machines, which work stays human, in what order, and with what systems underneath it.
The pilot era is over. The operating-model era has begun.
Most enterprises have now run the pilots, formed the task force, and written the AI strategy. What remains is the hard part: the operating model itself — the actual composition of work across the firm — has to change, and nobody owns an instrument for deciding how.
Disnesta treats the enterprise as what it is: a complex system of work, incentive, and feedback. We diagnose the operating model, frame the transition as a sequence of decisions rather than a leap of faith, build the AI and data systems that carry it, and secure and govern what results. Where measurement helps, OWI-C locates the firm's actual position.
Because one firm does all three, the diagnosis, the decision, and the build never lose each other in a handoff.
The roles that own these decisions.
The work we do for institutions like yours.
Strategy & transition sequencing
The order of moves — which work shifts first, what it unlocks, and what it risks — framed so leadership can decide rather than defer.
Production AI & data platforms
The AI systems and data infrastructure that carry the transition: built to production standards, instrumented, and owned by you when we leave.
Security & risk
Security architecture, risk governance, and AI-era controls that keep the transition defensible in front of boards and regulators.
OWI-C measurement and diagnostic
The company work-position index: where the company sits between machine and human work, unit by unit, with a documented method behind it.
The operating model, treated as a system.
Transition strategy with sequencing, feedback, and second-order effects made explicit before the reorganization — the firm's strategy and operating-model capability.