Smarter Data Entry for Adversus Teams
Turn Data Entry into a background job. Arahi AI agents use Adversus to execute on your behalf, 24/7.
47 PDFs processed today. Latest entry:
Meeting notes
- • Vendor: Riverline Co. · Term: 12 months from Apr 1.
- • Total contract value: $42,000 net 30.
- • Signed by: Theo Park (CEO, Riverline) + Daniel R. (Arahi).
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.
Vendor: Riverline Co. · Term: 12 months from Apr 1.
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 · Vendor agreements 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 PDF · Vendor agreement · Riverline.pdf.
- 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 can run data entry workflows in test mode using sample Adversus data before activating on live records. This lets you verify every data entry rule works correctly with your Adversus setup before processing real data.
All data exchanged between Adversus and Arahi AI during data entry 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 data entry action.
Yes. You define exactly which Adversus events start data entry workflows — new records, status changes, messages, or custom triggers. Each trigger can have conditions so data entry actions only fire when your specific criteria are met in Adversus.
Yes. The data entry agent connected to Adversus simultaneously interacts with 1,500+ other apps — CRMs, databases, email platforms, and more. A single data entry workflow can pull data from Adversus, process it, and push results to multiple destinations.
The agent reads PDFs, scanned images, emails, spreadsheets, and structured forms — extracting data fields and writing them to your systems. Even handwritten forms common in adversus (intake, work orders, inspection reports) are processed accurately.
Validated extraction accuracy typically exceeds 98% on standardized documents — significantly better than the 4-5% error rates common with manual data entry in adversus environments. Edge cases below the confidence threshold are flagged for human review instead of guessed.
Most users connect Adversus and launch their first data entry automation within 10 minutes. The guided wizard handles OAuth authorization, and you configure data entry-specific rules through a visual no-code builder.
No coding required. The no-code builder walks you through connecting Adversus and configuring data entry rules visually. Your team can set up, modify, and manage Adversus-based data entry workflows without any developer involvement.
Arahi AI connects natively with Adversus to handle the full data entry workflow. The AI agent monitors Adversus events, processes data entry tasks automatically, and writes results back to Adversus — no copy-pasting or tab-switching required.
The data entry agent scales automatically as your Adversus activity grows. Whether you process 10 or 10,000 data entry tasks per day from Adversus, the AI handles the volume without slowdowns or additional configuration.
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