AI Agent for Market Research — Built for Adversus
Automate Market Research for teams using Adversus. Arahi AI agents handle the workflow end-to-end — no code, set up in minutes.
Brief drafted — 12 sources cited. Action items pulled:
Meeting notes
- • Lindy launched a $99 starter tier — undercutting our Pro by $50.
- • Relay shipped a Slack-native agent builder; demo gif on landing page.
- • Stack AI raised $25M; expect aggressive ad spend through Q2.
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 Your Adversus Account
Authorize Adversus via OAuth in one click. Arahi AI maps your contacts, deals, and custom fields automatically.
Set Up Sales Automation Rules
Define triggers — new lead, deal stage change, stale pipeline — and the AI actions to take in Adversus.
Launch & Track Revenue Impact
Your AI agent starts working inside Adversus. Track leads processed, deals influenced, and time saved on your dashboard.
Lindy launched a $99 starter tier — undercutting our Pro by $50.
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 Notion · Compete 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 Competitor brief · 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
Yes. You define exactly which Adversus events start market research workflows — new records, status changes, messages, or custom triggers. Each trigger can have conditions so market research actions only fire when your specific criteria are met in Adversus.
Arahi AI connects natively with Adversus to handle the full market research workflow. The AI agent monitors Adversus events, processes market research tasks automatically, and writes results back to Adversus — no copy-pasting or tab-switching required.
The Adversus integration automates end-to-end market research — including data capture from Adversus, validation, routing, follow-up actions, and status updates. Every market research step that touches Adversus can be handled by the AI agent.
Yes. You can create parallel market research workflows that respond to different Adversus events or conditions. For example, one market research flow for new Adversus records and another for updated ones — each with independent rules and actions.
No coding required. The no-code builder walks you through connecting Adversus and configuring market research rules visually. Your team can set up, modify, and manage Adversus-based market research workflows without any developer involvement.
All data exchanged between Adversus and Arahi AI during market research processing is encrypted in transit and at rest. We use OAuth tokens for Adversus access, never store raw credentials, and maintain full audit logs of every market research action.
The dashboard shows market research-specific metrics for your Adversus integration — tasks processed, average handling time, success rates, and escalation frequency. You can track how Adversus-triggered market research workflows perform over time.
Manual market research in Adversus requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling market research tasks in real-time as Adversus events occur — running 24/7 with consistent accuracy and zero fatigue.
Arahi AI connects to Adversus via one-click OAuth, then runs market research workflows that read and write Adversus data on a schedule or in response to triggers. You configure the rules once; the agent executes market research across every relevant Adversus record without developer involvement.
Adversus holds the data; AI supplies the judgment and throughput. Together they turn market research from a manual, inconsistent process into one that runs at machine speed with a consistent quality bar — freeing your team to focus on the Adversus-adjacent work that genuinely needs human attention.
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