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Arseniy Scheltsin
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AI: from pilot to production

Most organisations can already run an AI demo. The hard part is embedding it in a process, assigning ownership, measuring quality and operating it safely.

100 pilots about a quarter arrive DemoPilot AcceptanceProduction no owner of the result quality described as “accuracy”, no error criterion
The two stopping points are labelled with their cause. The share is an estimate from the deployment catalogue, not a measurement.

Mechanism

Picking use cases with measurable effect, auditing a stalled pilot, acceptance criteria and operations.

Who it is for

  • CIOs and transformation leads
  • Process owners
  • Teams whose pilot never reaches production

Typical tasks

  • Selecting use cases with measurable effect
  • Auditing a stalled pilot
  • Defining data and ownership
  • Acceptance criteria for a probabilistic output
  • Vendor and scaling requirements

Formats of involvement

  • Pilot audit
  • Strategy session
  • Production-readiness checklist
Digital platforms and ecosystems Regulation of digital products Russian software and technology resilience Education and talent Research and public analysis

A task where technology, business and regulation meet?

Describe the context, the current stage and the outcome you are after. You get an assessment of fit and a possible format of involvement.

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