Admin

Data Entry Automation

Moves data between your systems on a trigger or schedule, eliminating copy-paste work between tools.

ideal forteams where someone spends more than two hours a week copying data from one tool into another

// the problem

Copy-paste data entry is not a workflow, it's a gap between two systems that haven't been connected. Someone exports a CSV from the form tool and imports it into the CRM. Someone copies a new client record from the intake form into the project tracker. Someone manually updates the spreadsheet every time a new order comes in. Each of these is a solved problem that hasn't been solved yet in that specific business, because setting it up takes time nobody has. Data entry automation builds the specific pipe for the specific data movement you need, with field mapping, error handling, and a log of every record moved. It runs on a trigger or a schedule. When it breaks (and data pipelines eventually break), it alerts the right person with the exact record that failed.

what changes

  • Data moves between systems in seconds of the trigger, not when someone gets around to it
  • Field mapping is defined once at build time and applied consistently
  • Failures are logged with the exact record and field that caused the issue
  • The human never has to touch the data for a clean, expected transaction

// how it works

The mechanism, end to end. Each step is logged so you can see what the agent did and why.

data-entry-automation · live pipeline
running
10:30:01new intake form submission received typeform
10:30:02fields mapped: name, email, service, budget field map
10:30:02contact created in CRM hubspot
10:30:03project record created in tracker notion
10:30:03row added to master tracker sheet google sheets
10:30:04record written to audit log supabase

// surface area

connects to

  • Typeform
  • Google Sheets
  • Notion
  • HubSpot
  • Airtable
  • Supabase

writes back to

  • HubSpot / Pipedrive (new contact or deal with mapped fields)
  • Supabase audit log (record id, source, destination, field map, status, timestamp)

all writes are logged to the audit trail

// works for

Data Entry Automation is built to run inside any of these business types. The same agent, wired into your stack.

// ready to scope the build?

See Data Entry Automation run on your workflow.

Book a 15-minute audit call. We map your real workflow against what this agent handles, scope what gets built and what it connects to, and you leave with the math. No pitch, no obligation past the call.

see it built on your workflow

15 minutes, no deck, just the working machine.