Smarter Data Entry for Adalo Teams
Turn Data Entry into a background job. Arahi AI agents use Adalo 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).
How does Adalo work for data entry automation?
Adalo works for data entry automation by powering an Arahi AI agent that runs the workflow end-to-end inside your existing tools — no code, no custom build. The agent connects to Adalo alongside the other apps your team already uses, watches for the triggers that matter for data entry, and takes the next step on its own while keeping a complete audit trail for review. AI extracts, validates, and enters data from documents, emails, and forms automatically. Teams typically see high across mixed document formats once the agent is in production. You stay in control: every action is logged, confidence thresholds are configurable, and anything ambiguous is queued for a human instead of being silently auto-completed.
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 Adalo
Authorize Adalo and Arahi AI hooks into your issues, repos, and deployment pipelines.
Configure Dev Workflows
Define triggers for Adalo events — new issues, PR merges, build failures — and the AI actions to take.
Ship Faster with Less Toil
AI automates the tedious parts of your Adalo workflow. Track issues triaged, alerts handled, and developer time saved.
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
All data exchanged between Adalo and Arahi AI during data entry processing is encrypted in transit and at rest. We use OAuth tokens for Adalo access, never store raw credentials, and maintain full audit logs of every data entry action.
Most users connect Adalo 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.
Teams automating data entry through Adalo 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 Adalo-powered data entry automation delivers.
No coding required. The no-code builder walks you through connecting Adalo and configuring data entry rules visually. Your team can set up, modify, and manage Adalo-based data entry workflows without any developer involvement.
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 adalo (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 adalo environments. Edge cases below the confidence threshold are flagged for human review instead of guessed.
Arahi AI connects natively with Adalo to handle the full data entry workflow. The AI agent monitors Adalo events, processes data entry tasks automatically, and writes results back to Adalo — no copy-pasting or tab-switching required.
Yes. You can create parallel data entry workflows that respond to different Adalo events or conditions. For example, one data entry flow for new Adalo records and another for updated ones — each with independent rules and actions.
Yes. You can run data entry workflows in test mode using sample Adalo data before activating on live records. This lets you verify every data entry rule works correctly with your Adalo setup before processing real data.
The dashboard shows data entry-specific metrics for your Adalo integration — tasks processed, average handling time, success rates, and escalation frequency. You can track how Adalo-triggered data entry workflows perform over time.
Explore more AI agent solutions
Start automating Data Entry for Adalo
7-day free trial. Works with the tools you already use.