AI AGENTS
Questionnaire Gap Logger to Postgres Backlog
After each questionnaire is drafted, records every question your trust center could not confidently answer into a Postgres table so the GRC team can prioritize closing recurring…
How it runs
The automated pipeline, trigger to output.
- TriggerQuestionnaire draft completed eventHTTP webhook
- ActionRead flagged low-confidence rows
- ActionNormalize gaps into canonical control topics
- LogicDeduplicate and increment repeat counter
- ActionUpsert gaps into Postgres backlogPostgres
- OutputPost top recurring gaps to SlackSlack
What it does
Treats unanswered questionnaire items as a structured backlog. Each time a questionnaire is processed, the unmatched or low-confidence questions are normalized and written to Postgres with the source prospect, control domain, and frequency, turning one-off gaps into a rankable list.
When to use it
Use it when the same questions keep stumping your trust center and you want data on which Confluence pages to write next. It complements any drafting workflow by capturing the misses rather than discarding them.
How it works
- 1A completed-draft event from the questionnaire pipeline triggers the run.
- 2The workflow reads the flagged low-confidence rows from the draft.
- 3The agent normalizes each gap into a canonical control topic so near-duplicate phrasings group together.
- 4A logic step deduplicates against existing backlog rows and increments a hit counter for repeats.
- 5New and updated gaps are upserted into the Postgres backlog table.
- 6A weekly summary of the top recurring gaps is posted to Slack for triage.
Set it up
What you configure once, before turning it on.
- 1Connect PostgresAny Postgres URL — query, write, migrate.
- 2Connect SlackChannels, DMs, threads, mentions.
- 3Connect HTTP webhookTrigger any URL on agent actions.
- 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 this workflow in your colony.
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