Automation and Operations
Which processes to automate first: a simple scoring method
Score each process on hours, clarity, data readiness and risk, check payback, then automate the top one or two. Worked example and pass/fail test.
Workflow Automation
AI Data Entry Automation
Moves new records from one system into another automatically, validated against what's already there, with no manual re-typing.
Copying the same details from one system into another is slow, dull and full of small mistakes. This workflow takes it over. It picks up new records as they appear, from a spreadsheet, an inbox attachment or a webhook, and enters them into the system that should hold them. Each record is checked against existing entries, and unclear matches go to a person.
- New records entered automatically, with no manual re-typing
- Duplicate checks against existing entries before anything is created
- Unclear matches flagged for a person instead of guessed
$4,100
20–30 working days
Optional maintenance $249/mo
What it is
AI Data Entry Automation reads new records as they appear, such as rows in a spreadsheet, attachments in an inbox or entries from a webhook, and enters them into the system that should hold them, checking each one against existing records to avoid duplicates.
Why businesses buy it
Manual data entry costs more than the hours it takes. Typos, duplicates and missed rows spread into reports, invoices and customer records, and someone has to clean them up later. This workflow enters records the same careful way every time and checks for duplicates first, so your systems stay accurate and your team gets back to work that needs judgment. Unclear cases still reach a person. The written scope fixes the mapping, systems, matching rules and testing before you order.
Problems this solves
Someone spends hours copying rows from one system into another
The automation reads new records as they appear, such as spreadsheet rows, inbox attachments or webhook entries. It enters each one into the system that should hold it.
Manual data entry creates duplicates that are painful to clean up
Every record is checked against existing ones before it is entered. That check helps keep duplicates out of the destination system from the start, rather than cleaning them later.
Backlogs build up whenever the person who does entry is away
The workflow runs in the background as new records arrive, without waiting for anyone. It was tested across 20 runs on your sample data before going live.
A good fit if
New records regularly appear in one place, such as a spreadsheet, an inbox attachment or a webhook, and someone currently copies them into another system by hand.
You need each new record checked against what's already there, so the same customer or order doesn't get entered twice.
You want a straightforward, rule-based match between a source and a destination system, rather than judgment calls about tone or content.
You're comfortable connecting up to three systems, such as a spreadsheet, Airtable and Slack for error alerts, for this to run in the background.
Not the right fit if
Your source is specifically submitted web forms with a fixed set of fields, not a general spreadsheet or attachment feed. See AI Form Processing, which is built for that intake shape.
You want inbound messages classified and routed, not records copied between systems. See AI Email Triage.
You want the moved data assembled into a formatted recurring report, not just entered into a system. See AI Report Automation.
You need more than 12 steps or more than three connected systems in the workflow. Add a note at checkout for a Change Quote, or start from our Custom AI inquiry form.
How it works
- You describe today's process. A written description or screen recording of how records currently get copied between systems, plus five to ten real sample records, defines the mapping.
- Up to three systems are connected. Typically the source, such as a spreadsheet or inbox, and the destination, such as Airtable or Google Sheets, linked with admin access to read and write.
- The workflow is built, up to 12 steps. Each new record is read, matched against existing entries in the destination, and entered without duplicating anything already there.
- The AI decision step handles unclear matches. Where a record might already exist under a slightly different spelling or format, it's flagged for a person instead of guessed.
- 20 test runs check it against your own data. Real sample records are run through the workflow so you can confirm every entry lands correctly, with no duplicates created.
- You review it and we hand it off. Two rounds of changes tune the field mapping and matching rules, then a written handover report covers how to adjust it later.
What you provide within 72 hours
Your portal lists these the moment you order. Delivery starts the working day after everything is in and your access is checked.
- The list of systems involved, such as your spreadsheet, Airtable and Slack, with admin or API access to each.
- A written description or a short screen recording of how records currently get copied between systems.
- Five to ten real sample records covering the fields that need to move across.
- The name of who should be alerted when a record can't be matched or entered automatically.
- The rules for matching a record against what already exists, so duplicates don't get created.
- Admin access and API keys for every connected system, shared by adding our team as a user or creating a key you control, never by email.
- Your business information (company basics, hours and brand voice), shared during intake.
- One decision-maker who can approve the field mapping and matching rules before testing starts.
- An API key for your own AI model account (for example OpenAI or Google Gemini), created for this build with a spending limit.
The 72-hour rule. Send everything on your checklist, including access, within 72 hours of ordering so your build starts on time.
Timeline
Start
Intake verified and the field mapping between systems is agreed.
Weeks 1–2
Source and destination systems connected and the workflow steps built.
Week 3
Duplicate-matching rules configured and refined against real records.
Weeks 3–4
20 test runs completed on your real sample records.
Week 4
Your review and two rounds of changes to mapping and matching.
Go-live
Live, handover report sent, 30 days of support starts.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $4,100 |
| Express | 15–25 working days | $4,800 |
| Rush | 10–20 working days | $5,550 |
What you receive at handover
- AI Data Entry Automation configured and running
- One data entry workflow of up to 12 steps, with duplicate checks
- Connections to up to three systems
- A test report from 20 sample runs
- An admin guide, the written handover report and 30 days of post-launch support
Expected benefits and how to measure them
- Can free staff from repetitive copying
- Helps keep records clean and free of duplicates
- Keeps data flowing when people are busy or away
- Hours spent on data entry
- Ask staff to log weekly time on entry for a month before launch and a month after.
- Duplicate records created
- Run a duplicate check in the destination system monthly and compare counts.
- Entry backlog
- Count records waiting to be entered at the end of each week.
Before you start: Record weekly hours on data entry, current backlog size and how many duplicates exist today.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
Running costs
The build price is one-time. Running the workflow costs roughly $20 to $100 a month, covering the automation platform plus AI model usage, billed directly in your own accounts. A high volume of new records moving between systems daily sits toward the top of that range.
AI usage during the build and testing is also billed to your accounts, so every provider relationship stays yours. Nothing runs through us.
Ask about running costsCustom requirements
If you need something outside the Scope Card, add a note at checkout. You get a written Change Quote, and that work only starts once you accept it. Your original order keeps its delivery date either way. Larger or bespoke projects go through the Custom AI request form instead.
Request a custom versionKeep it running
Monthly maintenance covers monitoring, fixes, updates, a health report and change hours for things such as adjusting the field mapping or tightening the duplicate-matching rules. It starts after the 30 days of included support and can be cancelled any month; unused hours do not roll over.
$249/mo (the minimum fee, includes 2 change hours)
Optional. Starts after the post-launch support period. Cancel any month.
How maintenance worksHow this compares
| Do it yourself with a SaaS tool | Hire a custom agency | Upmark Labs | |
|---|---|---|---|
| Price | A spreadsheet-sync add-on charges a monthly fee per connection | A systems-integration contractor quotes an hourly project rate | Ours is one fixed price, shown before you buy |
| Duplicates | A sync add-on typically matches on an exact field, missing near-matches | A contractor's duplicate handling depends on what was scoped | Ours is tested against your real records before launch to catch near-matches |
| Judgment | A sync add-on either enters a record or fails silently | A contractor's quality depends on who is assigned | Ours flags anything unclear for a person instead of guessing |
| Delivery | A sync add-on can be turned on the same day but stays rigid | A contractor build usually runs several weeks, set per project | Ours has a fixed delivery time shown before you buy, with faster options |
Questions about this product
What is included in the AI Data Entry Automation build?
Up to three connected systems, one workflow of up to twelve steps with an AI step for unclear matches, duplicate checks against existing records, 20 test runs on your own sample records, two rounds of changes and a written handover report. The price is fixed and shown on this page before you order, once the field mapping is agreed.
What does AI Data Entry Automation cost to run each month?
Roughly $20 to $100, covering the automation platform plus AI model usage, paid directly in your own accounts rather than billed through us. A high volume of new records moving between systems every day tends to land nearer the top of that range than an occasional batch.
How fast can AI Data Entry Automation start moving records?
On a fixed schedule shown before you buy, counted from a verified intake and including 20 test runs on your own sample records. Express and rush delivery are both available for an added fee chosen at checkout, not requested later, if manual entry is already slowing your team down.
What access does AI Data Entry Automation need?
Admin or API access to the source system, such as a spreadsheet or inbox, and the destination system, such as Airtable or Google Sheets, so records can be read and written automatically. Credentials are shared by adding our team as a user or creating a key you control, never by email, keeping account access off email entirely.
Can we change the matching rules after launch?
Yes, through monthly maintenance. Adjusting the field mapping, tightening the duplicate-matching rules, or adding a new field to move across all fit inside the monthly change hours. Connecting a fourth system is scoped separately as a Change Quote before that extra system gets connected.
Is maintenance for AI Data Entry Automation a fixed-term contract?
No. Plans bill monthly and can be cancelled in any given month, with no long-term commitment attached. Record entry keeps running on its existing rules either way; a plan only pays for hours spent changing the mapping or matching logic, and unused hours never roll into the next month.
How does it avoid creating duplicate records?
Each new record is checked against what's already in the destination system using the matching rules agreed during intake, such as an order number, an email address or a combination of fields. Anything that looks like a possible duplicate but doesn't match cleanly is flagged for a person rather than entered automatically.
Guides on this topic
All guides Stop copying the same records between systems by hand.
Order AI Data Entry Automation and new records start moving between your systems, checked for duplicates, from a fixed delivery date.
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