AI-Agents for Operations Analysts in Data Analytics in Data Quality working with Kintone

Check forms for missing details, return them for correction. Every one is ready to run, and you can adjust it in plain language.

Update the daily review sheet and surface incomplete records.

Your morning extract arrives in a shared table, with missing values marked and a chat message pointing to records that need review.

Keep recurring website data current and note failed checks.

Get new and changed rows from the public pages on your request forms every Monday, plus a workbook report of failed pages.

Update the operations table and flag records needing review.

Your shared sheet stays current with daily JSON records. Your email shows new and changed row counts and links to entries needing attention.

Update the shared spreadsheet from the daily API feed and export CSV.

Your shared spreadsheet stays current with the latest JSON feed. Get a matching CSV and a report of what changed.

Add valid JSON entries to the running table and list rejected ones.

Your Google Sheets table gains valid entries from new JSON responses, with rejected entries listed for review.

Import recurring operations sheets and flag invalid records.

Get valid Excel rows into PostgreSQL and a chat report showing how many went in and what needs fixing.

Share checked operations rows in a dated monthly file.

Get a dated CSV and row count in your shared folder every month, or an error note explaining why the export stopped.

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