Run Price Monitoring on Microsoft Teams — AI Agent
Already on Microsoft Teams? Add an Arahi AI agent for Price Monitoring and save hours every week without writing code.
Weekly diff posted. 1 actionable change this run:
Meeting notes
- • Relay AI cut Pro plan from $149 → $129/mo (-13%).
- • Lindy added $99 starter tier (3 agents, 5 integrations).
- • Stack AI: no change · Adept: page 404 (suspended?).
Built in plain English.
You write the rule the way you'd describe it to a teammate. The agent reads the rule, breaks it into the actions it'll take, and confirms the apps it'll touch — before it does anything.
- 1Read the meeting transcript end-to-end
- 2Extract decisions, commitments, and next steps
- 3Update the deal record and advance the stage if criteria met
- 4Notify the right teammate with the relevant context
Get started in three steps
Connect Microsoft Teams
Add Microsoft Teams to your Arahi AI workspace in seconds. The AI immediately starts listening for messages and events.
Configure Message Workflows
Choose which Microsoft Teams channels, threads, or DMs trigger AI actions — and what happens next.
Automate & Stay in the Loop
The AI handles routine messages and tasks in Microsoft Teams while escalating anything that needs your attention.
Relay AI cut Pro plan from $149 → $129/mo (-13%).
Action items extracted; assignees notified in Slack.
Three deals moved to next stage; risks flagged for the AE.
Approve before it sends.
Every draft lands in a review queue. You approve, edit, or reject — the agent never acts on its own unless you explicitly turn that on for a workflow you trust.
Every action, with the reasoning attached.
Each step the agent takes is logged with what it did, why it did it, and which app it touched. Audit-ready, so security and compliance can sign off without backfilling.
- Agent2:47 PM
Updated Sheets · Pricing tracker with the meeting outcome.
- Agent2:46 PM
Advanced deal stage; the criteria for Proposal were met.
Reason: Budget confirmed and decision-maker identified per stage definition.
- Agent2:45 PM
Wrote meeting notes for Pricing diff · Week of Mar 10.
- Agent2:44 PM
Read the transcript and extracted action items.
- Agent2:30 PM
Triggered by call end event in Granola.
Frequently asked questions
The Microsoft Teams integration automates end-to-end price monitoring — including data capture from Microsoft Teams, validation, routing, follow-up actions, and status updates. Every price monitoring step that touches Microsoft Teams can be handled by the AI agent.
Most users connect Microsoft Teams and launch their first price monitoring automation within 10 minutes. The guided wizard handles OAuth authorization, and you configure price monitoring-specific rules through a visual no-code builder.
Manual price monitoring in Microsoft Teams requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling price monitoring tasks in real-time as Microsoft Teams events occur — running 24/7 with consistent accuracy and zero fatigue.
All data exchanged between Microsoft Teams and Arahi AI during price monitoring processing is encrypted in transit and at rest. We use OAuth tokens for Microsoft Teams access, never store raw credentials, and maintain full audit logs of every price monitoring action.
The Microsoft Teams integration maintains a persistent real-time connection for price monitoring automation with automatic retry logic and continuous monitoring. If Microsoft Teams experiences downtime, queued price monitoring tasks process automatically once connectivity resumes.
When the AI hits an edge case during price monitoring processing in Microsoft Teams, it escalates to your team with full context — the Microsoft Teams record, what was attempted, and why it needs review. Your price monitoring pipeline never stalls or loses data.
Yes. You define exactly which Microsoft Teams events start price monitoring workflows — new records, status changes, messages, or custom triggers. Each trigger can have conditions so price monitoring actions only fire when your specific criteria are met in Microsoft Teams.
Yes. You can run price monitoring workflows in test mode using sample Microsoft Teams data before activating on live records. This lets you verify every price monitoring rule works correctly with your Microsoft Teams setup before processing real data.
Arahi AI connects to Microsoft Teams via one-click OAuth, then runs price monitoring workflows that read and write Microsoft Teams data on a schedule or in response to triggers. You configure the rules once; the agent executes price monitoring across every relevant Microsoft Teams record without developer involvement.
Microsoft Teams holds the data; AI supplies the judgment and throughput. Together they turn price monitoring from a manual, inconsistent process into one that runs at machine speed with a consistent quality bar — freeing your team to focus on the Microsoft Teams-adjacent work that genuinely needs human attention.
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