For leaders who need AI and analytics to change how the business operates.
Gadiel Analytics connects enterprise data architecture with the commercial decisions it must support. Engagements start with a recurring decision, the people accountable for it and the evidence they need. The output is a practical design for delivery, governance and adoption.
Three ways to work together
Governed semantic layers & conversational analytics
Make business definitions consistent before placing a natural-language interface over them. Align metric ownership, data access and answer evaluation so teams can ask useful questions and inspect the evidence.
Enterprise AI strategy & agent governance
Identify viable generative and agentic AI use cases, define human approval points and assess reliability, data exposure and tool-access risks before expanding autonomy.
Pricing analytics & revenue growth management
Connect price intelligence, demand signals and commercial metrics to specific decisions about pricing, promotions and resource allocation.
A focused starting point
A discovery and architecture review can map one decision pathway, assess the available evidence, identify material gaps and produce a prioritised delivery roadmap. Scope, deliverables and timing are agreed after an initial conversation.
Evidence you can inspect
Explore public reference implementations in pricing, forecasting and decision systems. These demonstrate design choices and working products; they are distinct from confidential client work.
Based in Ireland, with an international enterprise perspective. Read about Gadiel's practice and leadership focus.