AI Advisory

Download KPI’s Services Info Sheet for the information below.

To raise trust in the AI ecosystem, every organization has a part to play.

KPI partners with trusted leaders who bank on responsible AI to win.

We help you evaluate opportunities, manage risks, and deliver on your KPIs.

Wherever you are in exploring generative AI, producing AI tools, or using AI for company goals, trust is required.

Generative AI often provides the illusion of control. We put trust at the center of our work with you, giving people genuine control.

With KPI’s “calculus of intentional risk,” we help you minimize the risk of AI systems.

Our advisory services build trust by taking into account the 4 logics of AI power: business, engineering, government, and humanity.

KPI forms strategic partnerships with esteemed leaders who rely on responsible AI practices as a cornerstone of their success.

Our mission encompasses aiding you in the comprehensive assessment of opportunities, skillfully navigating risks, and resolutely delivering upon your KPIs.

Whether you’re delving into generative AI, crafting AI tools, or harnessing AI to accomplish corporate objectives, the bedrock of trust is an essential requirement.

• Together, these four perspectives help us see the possibilities that work for all stakeholders.

• None of the four logics are in control.

• None are right or wrong in themselves.

• If we want trustworthy AI systems, we need to bring all four perspectives together.

• We use creative friction to understand why others feel and think the way they do.

• When we take into account all four logics, we consider the impact and benefits of your work all while ensuring a foundation of trust and reliability.

The Four Logics of AI Power

KPI’s framework for quantifying the risk of AI-related decisions:

1. Reputational damage in the worst-case scenario of harm to people;

2. Benefits and rewards from positive outcomes, in commercial and societal terms;

3. Fines and penalties from new laws like the European Union’s comprehensive Artificial Intelligence Act (AIA), expected to be passed in 2023;

4. The opportunity cost of lost revenues from failing to release a product.

5. Potential gains from alternative businesses and approaches.

After in-depth consultation, we identify the potential value in an AI system or ecosystem.

These factors include:

We value each factor on a matrix of consequences and likelihood, leading to a range of possible returns and losses.

The deliverable is a risk level series based on scenarios combining these outcomes.