AI agent for data entry — even in tools with no API

Data entry survived two decades of automation promises for one stubborn reason: the systems that need connecting weren't built to connect. The portal your supplier insists on. The government form. The legacy tool that runs the industry and last shipped an update in 2019. Integration platforms cover the modern half of the stack; a human covers the rest, one copy-paste at a time — usually a human whose actual job is something else.

An AI agent closes that gap from the human side: instead of waiting for an API that will never ship, it uses the software the way a person does.

What Arlo does

• Between-system transfer — read the invoice PDF, the email thread, or the export; enter it into the CRM, the tracker, the books. The judgment calls a person would make (dedupe, format, "which field does this go in") follow rules you set once.
• No-API tools, handled — Arlo logs in once through a secure browser session and clicks, reads, and fills forms directly. The supplier portal, the legacy ERP screen, the government filing — reachable without anyone's afternoon.
• Spreadsheets kept true — the ops sheet, the pipeline tracker, the inventory count: updated as a side effect of the work happening in threads and tools, not reconstructed weekly by hand.
• Batch jobs with review — "enter these 80 conference leads" comes back as a completed batch with a summary of exceptions ("3 duplicates skipped, 2 missing emails flagged") rather than 80 silent writes.
• Requested from a thread — forward the attachment in iMessage or Slack with "get these into the system" and the confirmation lands back in the same thread.

Accuracy, verifiable

Human data entry fails by fatigue; automation fails by confidently doing the wrong thing at scale. Arlo's design attacks both: extraction is grounded in the actual source document, ambiguous rows get flagged instead of guessed, bulk writes can wait on batch approval, and every change is recorded in a full audit trail — so "what changed, from what source, approved by whom" always has an answer. Spot-check the first batches, then loosen review as the error rate proves itself.

Frequently asked questions

Can an AI agent do data entry in software without an API? Yes — Arlo logs in through a secure browser session and operates the interface like a person: reading screens, filling forms, submitting records. No integration required.

How accurate is it? Entries are grounded in the source document, ambiguous data is flagged for a human instead of guessed, and batch summaries surface exceptions. You review early batches and loosen oversight as accuracy proves out.

What kinds of data entry can it handle? Invoices and orders into finance tools, leads into CRMs, listings and inventory updates, form filings, spreadsheet syncs — anything with a readable source and a destination system.

Does it see my passwords? No — Arlo authenticates once through a secure browser session without exposing credentials, and touches only the systems you've granted.

Is my data used to train AI models? Arlo is built for governed business use with scoped access and audit trails; see the privacy policy for the current data-handling commitments.