OpenAI: AI-native companies turn workflows into operating capability — here's how

OpenAI published a breakdown of how AI-native companies turn workflows into operating capability. The key difference: most companies use AI as an "accelerator" for individual tasks — draft an email, merge a spreadsheet — while AI-native ones redesign the process itself, building agents in as executors of whole stages.

The difference shows in the numbers: speeding up tasks yields percentage savings; rebuilding a process yields multiples. The classic example is inbound lead handling: you can help a manager reply faster, or you can build a pipeline where an agent qualifies the lead, drafts the proposal and hands humans only the non-standard cases.

For a company in Kazakhstan the practical move is to pick one end-to-end process and rethink it whole, rather than handing out chatbot subscriptions. Regular, repeating work is the natural starting point: in 1Cifer, for instance, such processes are assigned to agents as standing duties — the agent gathers data on schedule, prepares the summary and triggers the next step without waiting to be reminded.