“The most important question about AI isn’t what it can do. It’s whether what it can do is worth what the business must commit to achieve it.”

Brian Pia

Founder, ClearPoint Insights

AI investments can consume capital, engineering capacity, employee time, and management attention long before their business value is clear.

An initiative can be technically successful and widely adopted while management is still unable to answer the question that matters most: was the investment worth what the business committed to achieve it?

ClearPoint Insights exists to help management teams make better economic decisions about AI.

The objective is not to find more ways to deploy the technology. It is to determine where AI deserves investment, build a credible economic case, and define how management will know whether the expected value is actually realized.

ClearPoint Insights brings executive judgment, economic discipline, and measurement rigor management teams need to make consequential AI investment decisions with confidence, from the first commitment of resources through the evidence of realized value.

About

Why we exist

I have spent more than 15 years advising executives on complex technology and transformation decisions, with a particular focus on connecting technology investments to measurable business outcomes. That experience has taught me that the most consequential technology decisions are rarely about capability alone. They are about judgment, economics, and accountability.

My experience spans enterprise transformation, conversational AI, customer experience, and technology strategy, as well as founding and leading advisory businesses with direct P&L responsibility. I have seen technology investment from both sides of the decision: advising organizations on where it can create value and being personally accountable for the economics of running a business.

I founded ClearPoint Insights to apply those perspectives to a question I believe management teams increasingly need to answer:
‍Where does AI genuinely deserve investment, and how should the organization determine whether that investment created value?

Before founding ClearPoint Insights, I advised enterprise organizations on AI-enabled and digital transformation, conversational AI, and customer experience. I also founded and led advisory businesses with direct P&L responsibility and worked on programs connecting technology, operating performance, and measurable business outcomes.

Selected career results include building an advisory business to seven-figure revenue within 24 months, helping clients reduce operating costs through conversational AI and advanced analytics, and contributing to enterprise transformation programs that produced measurable improvements in customer and operating outcomes.

Today, I am building ClearPoint Insights in Amsterdam and developing its methodology through executive research and commercial validation with growth-company leaders in the Netherlands. My aim is straightforward: help management teams bring greater investment discipline to AI, so they can decide where it deserves resources and determine whether it ultimately delivered.

Independent by design.

The company evaluating an AI investment should not also need to win the implementation. ClearPoint Insights does not sell AI implementation, so its recommendation is not dependent on whether a project moves forward. ClearPoint is paid for the quality of the decision and measurement framework, not for recommending more technology. Proceed, Validate, and Do Not Proceed are all legitimate outcomes.

A clearer decision, built on evidence.

The work begins with the management decision, not the technology. ClearPoint establishes the baseline and assumptions, tests the business problem and expected value, makes the full economic commitment visible, and defines how value will be measured before it becomes difficult to prove. The goal is not more analysis. It is to give management a clearer, more defensible decision and a way to determine whether the expected value was actually realized.

Independent

ClearPoint does not sell AI implementation, so our recommendation is not influenced by whether a project moves forward. We help management evaluate the decision on its merits, challenge assumptions, and reach a conclusion that can be defended with evidence, including when the right decision is not to proceed.

Evidence-led

Better AI investment decisions begin with evidence, not assumptions about what technology might deliver. We establish the current baseline, make key assumptions explicit, and define the outcomes that matter so management can evaluate the investment with greater confidence and later determine whether the expected value was actually realized.

Economically grounded

AI is evaluated as a business investment, not simply as a technology initiative. We look beyond adoption, activity, and technical performance to understand the value the investment is expected to create, the resources the business must commit to achieve it, and whether the resulting economics justify moving forward.

Available across the Netherlands

AI should earn its place in the business.

AI is not valuable simply because it can be deployed. It earns its place when the business problem justifies its use, the expected value warrants the economic commitment, and management can determine whether that value was actually realized.

Start with a 20-minute conversation about the initiative, what is economically at stake, and how you are planning to measure the result.

Discuss an AI investment