Workflow Automation on ADP, Powered by AI
Run Workflow on top of ADP with an Arahi AI agent. Faster execution, fewer errors, zero manual busywork.
Brightlane closed-won. Handoff fired:
Meeting notes
- • Slack: #cs-brightlane channel created · Marco assigned.
- • Notion: project workspace cloned from template.
- • Calendar: kickoff booked Tue Mar 12, 2:00 PM PT (45 min).
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 ADP
Link ADP to Arahi AI with secure OAuth. Employee data and HR workflows sync immediately.
Configure HR Automation
Set up triggers for ADP events — new hires, leave requests, reviews — and define the AI-driven responses.
Streamline People Operations
AI handles routine HR tasks in ADP so your team focuses on culture and strategy. Track time saved per process.
Slack: #cs-brightlane channel created · Marco assigned.
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 · Closed-won 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 Handoff · Brightlane · Closed-won $86K.
- 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 ADP to handle the full workflow workflow. The AI agent monitors ADP events, processes workflow tasks automatically, and writes results back to ADP — no copy-pasting or tab-switching required.
Yes. You define exactly which ADP events start workflow workflows — new records, status changes, messages, or custom triggers. Each trigger can have conditions so workflow actions only fire when your specific criteria are met in ADP.
Manual workflow in ADP requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling workflow tasks in real-time as ADP events occur — running 24/7 with consistent accuracy and zero fatigue.
No coding required. The no-code builder walks you through connecting ADP and configuring workflow rules visually. Your team can set up, modify, and manage ADP-based workflow workflows without any developer involvement.
Anything that follows repeatable rules — approvals, document routing, multi-system handoffs, scheduled tasks, and the adp-specific cross-departmental processes that today rely on email follow-ups and tribal knowledge.
No. Workflows are built in a visual no-code builder by your adp ops or business teams. Most workflows go from idea to live in under a day without any developer involvement.
Teams automating workflow through ADP typically save 10-20 hours per week on manual processing. The ROI dashboard tracks time saved, tasks completed, and error reduction so you can quantify exactly what ADP-powered workflow automation delivers.
Yes. You can create parallel workflow workflows that respond to different ADP events or conditions. For example, one workflow flow for new ADP records and another for updated ones — each with independent rules and actions.
Yes. You can run workflow workflows in test mode using sample ADP data before activating on live records. This lets you verify every workflow rule works correctly with your ADP setup before processing real data.
The ADP integration automates end-to-end workflow — including data capture from ADP, validation, routing, follow-up actions, and status updates. Every workflow step that touches ADP can be handled by the AI agent.
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