Smarter Follow-Up for Adversus Teams
Turn Follow-Up into a background job. Arahi AI agents use Adversus to execute on your behalf, 24/7.
18 nudges drafted. First one queued:
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 trigger event and pull the contact's context
- 2Draft the message in your team's voice
- 3Cite each personalized line's source
- 4Queue for your review or auto-send by confidence
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.
Brightlane · anything I can clear up before Friday?
Wanted to circle back on the proposal I sent last Wednesday. No pressure — usually when things go quiet at this stage it's procurement, not the product.
Personalized using LinkedIn activity from the last 30 days.
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.
- Marco11:42 AM
Approved the draft to evan.cole@brightlane.io.
- Agent11:41 AM
Drafted the email and queued it for review.
Reason: High-confidence personalization but recipient is C-level — escalating per policy.
- Agent11:40 AM
Pulled LinkedIn activity and HubSpot deal context.
- Agent11:40 AM
Triggered: For every Salesforce deal stuck in proposal > 7 days, have @Adversus send a tail
- Agent11:38 AM
Confirmed sender domain DKIM is healthy.
Frequently asked questions
Arahi AI connects natively with Adversus to handle the full follow-up workflow. The AI agent monitors Adversus events, processes follow-up tasks automatically, and writes results back to Adversus — no copy-pasting or tab-switching required.
The follow-up agent scales automatically as your Adversus activity grows. Whether you process 10 or 10,000 follow-up tasks per day from Adversus, the AI handles the volume without slowdowns or additional configuration.
All data exchanged between Adversus and Arahi AI during follow-up 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 follow-up action.
Yes. You define exactly which Adversus events start follow-up workflows — new records, status changes, messages, or custom triggers. Each trigger can have conditions so follow-up actions only fire when your specific criteria are met in Adversus.
The agent learns optimal follow-up cadence from your historical engagement data and adversus industry norms. Touchpoints are timed for highest response probability — not arbitrary day-3 / day-7 sequences that get ignored.
Yes. The agent runs multi-channel sequences with intelligent channel selection — email for low-priority touches, SMS for time-sensitive nudges, scheduled rep call-back for high-intent adversus prospects.
Manual follow-up in Adversus requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling follow-up tasks in real-time as Adversus events occur — running 24/7 with consistent accuracy and zero fatigue.
No coding required. The no-code builder walks you through connecting Adversus and configuring follow-up rules visually. Your team can set up, modify, and manage Adversus-based follow-up workflows without any developer involvement.
Yes. You can run follow-up workflows in test mode using sample Adversus data before activating on live records. This lets you verify every follow-up rule works correctly with your Adversus setup before processing real data.
Yes. You can create parallel follow-up workflows that respond to different Adversus events or conditions. For example, one follow-up flow for new Adversus records and another for updated ones — each with independent rules and actions.
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