AI AGENTS
Aggressive Price-Cut Escalation to PagerDuty and MS Teams
Frequently scrapes priority competitors, and when an agent judges a price cut large enough to threaten active deals.
How it runs
The automated pipeline, trigger to output.
- TriggerFrequent schedule triggers watch
- ActionCapture priority competitor pricesBrowserbase
- ActionLoad prior values to size the dropPostgres
- ActionAgent judges deal threat and drafts briefOpenAI
- LogicEscalate only above severity bar
- ActionPage on-call revenue leadPagerDuty
- OutputPost war-room brief to TeamsMicrosoft Teams
What it does
Treats a severe competitor price cut like an incident. On a tight schedule it captures prices for a watchlist of high-threat competitors, and an agent assesses whether a drop is steep enough to put open deals at risk. If it is, the flow doesn't wait for someone to read a digest — it pages the revenue lead through PagerDuty and posts a structured war-room brief to a Microsoft Teams channel.
When to use it
Use it for the small set of competitors whose moves can sink in-flight enterprise deals, where minutes matter. This is the high-urgency tier that complements a normal daily pricing digest.
How it works
- 1A frequent schedule triggers the watch.
- 2Browserbase captures current prices for the priority watchlist headlessly.
- 3The prior values are loaded from Postgres to compute the drop magnitude.
- 4An OpenAI agent decides if the cut is deal-threatening and drafts an incident brief.
- 5A logic gate escalates only above the severity bar.
- 6PagerDuty pages the on-call revenue lead.
- 7The brief is posted to the Microsoft Teams war-room channel.
Set it up
What you configure once, before turning it on.
- 1Connect BrowserbaseHeadless browsers, sessions, replays.
- 2Connect PostgresAny Postgres URL — query, write, migrate.
- 3Connect OpenAIModels, embeddings, files.
- 4Connect PagerDutyIncidents, on-call, escalations.
- 5Connect Microsoft TeamsChannels, chats, files.
- 6Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 7Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 8Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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