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Data quality checks · AI agents

Meeting preparation: data quality checks

Agree what a valid source record looks like. Start with approved agenda notes and account summaries and plan a meeting brief with open questions.

Available remotely for local and international enquiries. Platform choice and final scope depend on your requirements.

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The project in view

Start with
approved agenda notes and account summaries.
Proposed result
a meeting brief with open questions.
A decision to resolve
private notes outside the intended audience.

This is a planning example. It does not describe a completed client engagement.

Data quality checks for this project

  • Check approved agenda notes and account summaries for completeness, conflicting versions and consistent references.
  • Add a separate validation rule for private notes outside the intended audience.
  • Keep unresolved records separate from a meeting brief with open questions; record the reason rather than silently filling a gap.

Questions to answer together

  • Which fields, references or measurements must be present?
  • How are duplicates, contradictions and missing values reported?
  • Which corrections require confirmation from the source owner?

What to have at the end

A validation checklist with examples of valid, rejected and unresolved records.

Record the decision on private notes outside the intended audience alongside the source material. If it is still unresolved, identify who can answer it and what work depends on the answer.

Prepare your enquiry

Use this as a starting point. Add your current process, available examples and constraints before sharing.

Email Ian

Send your completed brief to hello@iansamonte.com or visit the main page to discuss your project.