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Prepare your business reporting for useful AI.

Useful AI answers start with business information you can trust.

For businesses with an AI reporting question in mind, start by checking the data, definitions and access it will depend on. Agree one useful question and a practical scope with Mehul.

Better foundations. More useful answers.

 

Different definitions give different answers

Agree KPIs and checked calculations so reports and supported AI tools interpret data consistently.

 

Information is scattered across systems

Connect the data needed to answer questions about margins, customers and business performance.

 

Answers are hard to trust

Use appropriate access controls and practical checks before acting on automated insights.

 

 

One foundation, several ways to use it

Business systems → Connected data → Trusted semantic model → Reporting, AI and automation

A semantic model brings business definitions, calculations and relationships together in one shared foundation.

What AI-ready reporting involves

Build trusted foundations

Review the reporting behind your chosen question: data sources, KPI definitions, calculations and access. Agree which gaps need attention before testing AI answers.

Test a useful question

Where your platform supports it, test commentary or questions in plain language against the reporting model. Check answers against the underlying figures and identify limitations.

Keep people in control

Apply practical checks and appropriate permissions. People interpret the results and make the decisions.

Find your best starting point

A 30-minute review of your reporting and the practical next steps towards useful AI.

Explore Reporting Foundations

Good BI comes first

This service focuses on reporting an AI use case can depend on. AI-assisted development used by Mehul is separate from client-facing AI features, which depend on the agreed scope and platform.

Power BI, Microsoft Fabric, SQL and APIs may form part of the solution, depending on your systems and business needs.

Copilot readiness depends on your platform, licensing, permissions and available capabilities.

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