DATA & ANALYTICS
8,000 +
companies around the world using Alteryx
The reason often comes down to how AI is deployed today. Too many enterprises are using raw data without the proper business context or logic, which leads to hallucinations, inconsistent answers and results that change from one query to the next. This is both a technical and organisational challenge. On the technical side, poor data quality and weak governance erode trust. On the organisational side, AI initiatives are often led centrally without business teams’ input, so they miss the use cases where AI can deliver real impact.
The companies that succeed are those that invest early in equipping their teams to build AI workflows with strong governance and high-quality, verifiable data. When you combine the creativity of generative AI with deterministic rules and proper business context, trust grows and real business value follows.
Q. HOW CAN COMPANIES BUILD TRUST IN AI FOR STRATEGIC DECISIONS?
» Trust starts with transparency. Executives are only comfortable using AI for strategic decisions when they can
see that outputs are based on governed, high-quality data. That means knowing what data went in, what rules were applied and having the ability to quickly adjust both as circumstances change.
Embedded governance is critical to earning the confidence of senior leaders and line of business teams. Equally important, business users need to trust AI to identify and drive the right use cases. That comes from making sure AI workflows are infused with business context, grounded in a company’ s own rules and data, not just general industry knowledge. When AI reflects the reality of the business, it is both more effective and easier to trust.
154 April 2026