Make your reports
ready for AI
Paste your field names and get a readiness score, specific rename suggestions, and a step-by-step action plan — in under 30 seconds.
What gets caught
See what the scanner finds
Common naming patterns that stop AI and Q&A tools from understanding your data.
| Field name | Issue | Suggested |
|---|---|---|
| FACT_cust_rev_MTD | Database prefix & coded name | Customer Revenue Month to Date |
| Amount | No context — could mean anything | Invoice Amount |
| SalesQty | Shorthand users won't recognise | Sales Quantity |
| Customer Name | Looks good | — |
Process
Three steps to AI readiness
Paste your fields
Copy field names from your Power BI model and paste them in — tables, columns, and measures.
Describe your report
Select your report area, who reads it, and the questions users most want answered.
Get your action plan
Receive a readiness score, specific renames, descriptions, synonyms, and a prioritised checklist.
What you get
Everything you need to prepare for AI querying
Readiness Score
A 0–100 score broken down across naming style, clarity, AI compatibility, and consistency.
Rename Suggestions
Every problematic field gets a specific suggested name, with a plain-English reason why.
Field Descriptions
Tooltip-ready plain-English descriptions written for your specific audience and report area.
Synonym Library
Alternative words users might type into Q&A or Copilot — improves AI phrase matching.
Report Groups
Logical display folder groupings so users find the right field quickly in the field list.
Action Plan
Prioritised checklist of exactly what to fix, ordered by impact on your readiness score.
Services & pricing
Start free. Go further when you need to.
The free scan tells you what to fix. If you want help prioritising or applying the changes, a manual audit or done-for-you engagement is the next step.
Free Scan
No sign-up required
Paste your field names and get an AI-readiness score with specific rename suggestions and a prioritised action plan. Takes under 30 seconds.
- Readiness score across four categories
- Naming issues flagged with suggested fixes
- Confidence levels on every recommendation
- Fields that need business confirmation clearly marked
Recommended next step
Manual Model Audit
One-off, no subscription
Run the free scan, then send me the results. I'll review your model and write a clear improvement plan — specific field renames, plain-English descriptions, and a priority fix list you can hand straight to your BI team.
- Manual review of your naming conventions
- Field descriptions written for your audience
- Ambiguous measures identified and explained
- Priority fix list with a clear rationale
- Written in plain English, not consultant jargon
Turnaround within 2 business days
Done-For-You Cleanup
Scoped per engagement
For teams that want the work done, not just the recommendations. I'll apply naming fixes, descriptions and synonyms directly to your Power BI semantic model.
- Field naming convention cleanup applied
- Descriptions and synonyms written and structured
- Display folders organised for your audience
- AI-readiness improvement roadmap included
Starts with a free scoping call
Get in touch
Request an audit or quote
Fill in the form below and I'll come back to you with a clear view of what's worth fixing first — no commitment required.
Dashboards were built for clicking.
AI needs something different.
For users to ask questions in plain English, your semantic model needs clear field names, plain-English descriptions, synonyms and confirmed business definitions. The scanner helps you find out where yours stands.