Automate Market Research Across ADP with AI
Purpose-built AI agent for Market Research — connects to ADP in minutes so your team can stop doing the work by hand.
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 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.
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
The ADP integration automates end-to-end market research — including data capture from ADP, validation, routing, follow-up actions, and status updates. Every market research step that touches ADP can be handled by the AI agent.
The market research agent scales automatically as your ADP activity grows. Whether you process 10 or 10,000 market research tasks per day from ADP, the AI handles the volume without slowdowns or additional configuration.
Yes. You define exactly which ADP 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 ADP.
Teams automating market research 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 market research automation delivers.
No coding required. The no-code builder walks you through connecting ADP and configuring market research rules visually. Your team can set up, modify, and manage ADP-based market research workflows without any developer involvement.
Manual market research in ADP requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling market research tasks in real-time as ADP events occur — running 24/7 with consistent accuracy and zero fatigue.
When the AI hits an edge case during market research processing in ADP, it escalates to your team with full context — the ADP record, what was attempted, and why it needs review. Your market research pipeline never stalls or loses data.
Yes. You can run market research workflows in test mode using sample ADP data before activating on live records. This lets you verify every market research rule works correctly with your ADP setup before processing real data.
Arahi AI connects to ADP via one-click OAuth, then runs market research workflows that read and write ADP data on a schedule or in response to triggers. You configure the rules once; the agent executes market research across every relevant ADP record without developer involvement.
ADP 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 ADP-adjacent work that genuinely needs human attention.
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