Lead Enrichment on Autopilot for awork Users
Arahi AI automates Lead Enrichment across awork, cutting repetitive work so your team can focus on higher-value tasks.
84 contacts enriched. Latest write-back:
Meeting notes
- • Title: VP of Operations · Series B (Mar 2024) · 80 FTE.
- • Stack: HubSpot, Stripe, Notion, Slack, Linear.
- • Buying signals: 2 ops hires last 60d, recent G2 review search.
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 awork
Link awork to Arahi AI in one click. Your tasks, projects, and documents sync automatically.
Set Up Workspace Automation
Define triggers in awork — new tasks, status changes, due dates — and the AI actions that follow.
Work Smarter, Not Harder
Your AI agent keeps awork organized while you focus on execution. Track productivity gains on your dashboard.
Title: VP of Operations · Series B (Mar 2024) · 80 FTE.
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 Salesforce · Contacts 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 Contact · Sam Okafor (Beacongrid).
- Agent2:44 PM
Read the transcript and extracted action items.
- Agent2:30 PM
Triggered by call end event in Granola.
Frequently asked questions
Arahi AI connects natively with awork to handle the full lead enrichment workflow. The AI agent monitors awork events, processes lead enrichment tasks automatically, and writes results back to awork — no copy-pasting or tab-switching required.
Yes. You define exactly which awork events start lead enrichment workflows — new records, status changes, messages, or custom triggers. Each trigger can have conditions so lead enrichment actions only fire when your specific criteria are met in awork.
Yes. You can create parallel lead enrichment workflows that respond to different awork events or conditions. For example, one lead enrichment flow for new awork records and another for updated ones — each with independent rules and actions.
Manual lead enrichment in awork requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling lead enrichment tasks in real-time as awork events occur — running 24/7 with consistent accuracy and zero fatigue.
All data exchanged between awork and Arahi AI during lead enrichment processing is encrypted in transit and at rest. We use OAuth tokens for awork access, never store raw credentials, and maintain full audit logs of every lead enrichment action.
When the AI hits an edge case during lead enrichment processing in awork, it escalates to your team with full context — the awork record, what was attempted, and why it needs review. Your lead enrichment pipeline never stalls or loses data.
The awork integration maintains a persistent real-time connection for lead enrichment automation with automatic retry logic and continuous monitoring. If awork experiences downtime, queued lead enrichment tasks process automatically once connectivity resumes.
The dashboard shows lead enrichment-specific metrics for your awork integration — tasks processed, average handling time, success rates, and escalation frequency. You can track how awork-triggered lead enrichment workflows perform over time.
Arahi AI connects to awork via one-click OAuth, then runs lead enrichment workflows that read and write awork data on a schedule or in response to triggers. You configure the rules once; the agent executes lead enrichment across every relevant awork record without developer involvement.
awork holds the data; AI supplies the judgment and throughput. Together they turn lead enrichment from a manual, inconsistent process into one that runs at machine speed with a consistent quality bar — freeing your team to focus on the awork-adjacent work that genuinely needs human attention.
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