AI & RAG
Escalate low-confidence questionnaire answers to the right SME in Slack
Reviews drafted RFP answers in Airtable, and for any answer below a confidence threshold or with stale citations.
How it runs
The automated pipeline, trigger to output.
- TriggerScheduled scan of Airtable review queueAirtable
- LogicBranch on confidence and citation freshness
- ActionRe-check cited Confluence page versionConfluence
- ActionSummarize the uncertainty for the SMEOpenAI
- OutputPost escalation thread to owning SMESlack
What it does
Adds a human-in-the-loop gate on top of auto-drafted security answers. It flags answers the model was unsure about, or that cite a policy page that has since changed, and pulls the correct expert into a Slack thread to confirm or correct before the response ships.
When to use it
Use it once you are auto-drafting questionnaire answers and need accountability on the risky ones. Ideal for teams where encryption, data-residency, or compliance questions must be owned by a named person rather than trusted to a model.
How it works
- 1A scheduled run scans the Airtable review queue for answers still in "Needs review".
- 2A logic step splits rows: high confidence with current citations pass straight through; low confidence or stale-citation rows escalate.
- 3The cited Confluence page version is re-checked to detect whether the source changed since drafting.
- 4For escalations, OpenAI summarizes what is uncertain and which policy is implicated.
- 5A Slack message is posted to the SME for that policy domain, linking the question and source, requesting approval.
Set it up
What you configure once, before turning it on.
- 1Connect AirtableBases, tables, views, automations.
- 2Connect ConfluenceSpaces, pages, blueprints.
- 3Connect OpenAIModels, embeddings, files.
- 4Connect SlackChannels, DMs, threads, mentions.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run it inside a business
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Run this workflow in your colony.
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