DATA OPS
On-Demand Drift Investigation and Remediation Plan
Chat-triggered agent that, given a table name, fetches both schemas, explains in plain language exactly how BigQuery and Snowflake diverged, assesses downstream impact.
How it runs
The automated pipeline, trigger to output.
- TriggerChat: investigate this table
- ActionRead BigQuery schemaBigQuery
- ActionRead Snowflake schemaSnowflake
- LogicReason over diff, impact, and fix orderOpenAI
- OutputReply with explanation and proposed DDL
What it does
This is an agent you talk to. Ask it about a table and it pulls the live BigQuery and Snowflake schemas, narrates precisely how they differ, reasons about which downstream models or reports the drift would affect, and proposes a concrete reconciliation plan including the DDL it would run. It produces understanding and a plan, not a silent automated change.
When to use it
Use it during an active investigation when a dashboard looks wrong or a dbt run failed and you suspect schema drift. It is the interactive counterpart to the scheduled detectors: ask, get an explanation, and get a vetted plan you can hand off.
How it works
- 1A chat message names the table to investigate.
- 2The agent reads the BigQuery schema for that table.
- 3The agent reads the Snowflake schema for the same table.
- 4It reasons over the diff, impact, and a safe remediation order.
- 5It replies in chat with a plain-language explanation plus the proposed reconciliation DDL.
Set it up
What you configure once, before turning it on.
- 1Connect BigQueryDatasets, queries, schemas.
- 2Connect SnowflakeWarehouses, queries, shares.
- 3Connect OpenAIModels, embeddings, files.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.

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