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Netpositiv

Make AI a net positive for your company.

Our goal is to turn scattered AI use into AI-ready workflows, trained people, and better decisions.

Start with one workflow, or let us help you find the right one. We map where AI can create value, what data and context it needs, what people must still judge, and which next step is worth taking.

  1. 01

    Diagnose

    Map one real workflow, the context AI needs, and the risks before tools enter the discussion.

  2. 02

    Train

    Train the team to use AI with the right context, review standards, and safety boundaries.

  3. 03

    Decide

    Give management a practical next step based on value, effort, risk, and what the team can actually implement.

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Organizations using AI in at least one business functionLine chart showing McKinsey Global Survey results for organizations using AI in at least one business function: 20% in 2017, 47% in 2018, 58% in 2019, 50% in 2020, 56% in 2021, 50% in 2022, 55% in 2023, 72% in 2024, and 88% in 2025. Note: McKinsey’s definition of AI use changed over time; read as a directional adoption trend.Organizations using AI% of organizations0%20%40%60%80%100%20172018201920202021202220232024202520%88%Source: McKinsey & Company, The state of AI in 2025, Exhibit 1.Note: McKinsey’s definition of AI use changed over time; read as a directional adoption trend.

AI adoption

AI is mainstream. Workflows lag.

McKinsey’s trend moves from 20% in 2017 to 88% in 2025. The question is which workflows have enough context, review, and judgment to use AI well.

AI does not fix a workflow that was not ready for it.

When the steam engine entered the factory, the factory had to change around it. Owners could not attach a worker to an engine and expect the old manual workflow to become productive.

AI creates the same problem for knowledge work. If the team keeps the same handoffs, scattered context, unclear approvals, and private workarounds, AI becomes another tool inside the old architecture.

AI becomes useful when the workflow is redesigned so people can use the new source of intelligence safely and repeatedly.

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A subscription does not tell people how to use AI well. Some employees use the wrong tool, some use it too casually, and some hide useful use cases because more productivity only means more work.

When AI use stays private, managers cannot see what works, what is risky, or what should become a shared standard.

We help your team turn individual AI tricks into visible workflow practice.

Start with one workflow, or find the right one.

Start with the area of the company you want to improve; we’ll look at the workflow behind it and what should change first.

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