IT OPS
AI agent rightsizing review for underused premium seats
An agent reviews per-user usage telemetry to distinguish never-used seats from premium-tier overprovisioning, drafts a personalized recommendation per user.
How it runs
The automated pipeline, trigger to output.
- TriggerMonthly schedule fires
- ActionPull per-user usage telemetry via vendor APIHTTP webhook
- LogicAgent classifies revoke / downgrade / keep with rationaleOpenAI
- ActionRoute tier recommendations to managers in SlackSlack
- ActionApply approved tier changes via admin APIHTTP webhook
- OutputRecord outcomes and savings in AirtableAirtable
What it does
Goes beyond on/off seat detection. An agent reasons over each user's actual feature usage to decide whether a seat should be fully revoked, downgraded from premium to standard, or left alone, then writes a clear rationale a manager can act on. It catches the costly middle ground of people on expensive tiers they barely touch.
When to use it
Use it on tools with multiple price tiers (CRM, analytics, dev platforms) where blunt inactivity rules would either miss savings or revoke seats people still need part-time. Run it on a monthly cadence.
How it works
- 1A monthly schedule starts the review.
- 2The agent pulls per-user usage telemetry from the vendor API over HTTP.
- 3It classifies each seat as revoke, downgrade, or keep based on feature depth and frequency, drafting a short justification.
- 4Recommendations are posted to managers in Slack for approval, with the tier change spelled out.
- 5Approved changes are applied back through the vendor admin API.
- 6Outcomes and projected savings are recorded in Airtable.
Set it up
What you configure once, before turning it on.
- 1Connect HTTP webhookTrigger any URL on agent actions.
- 2Connect SlackChannels, DMs, threads, mentions.
- 3Connect AirtableBases, tables, views, automations.
- 4Connect OpenAIModels, embeddings, files.
- 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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