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AI and Automation

Data Entry Automation

Move data between systems without manual rekeying.

Overview

What we deliver

We replace manual data entry with reliable automations that move clean records between spreadsheets, CRMs, ERPs, and finance tools.

Manual data entry costs time and creates errors that compound downstream. We design and build automations that take data from emails, files, portals, or upstream systems and load it into the tools your team relies on. Our pipelines validate fields, deduplicate records, handle exceptions, and log every change. We use rules and language models together so the system can handle structured forms and messy free text alike. Where source data is unreliable, we add review queues and approval workflows. Each automation is built to fit your existing systems, not to replace them, and we document every step for handover. The result is fewer late nights on spreadsheets, cleaner records across your stack, and a clear view of where work is flowing. Your team moves from typing to checking, and from chasing to closing.

Fit Check

Built for teams like yours

Who it's for

  • Finance teams
  • Sales operations
  • HR and people teams
  • Operations leads
  • Customer support managers

Pain points we solve

  • Hours spent on copy paste between systems
  • Errors from manual rekeying
  • Duplicate records and broken reports
  • Slow onboarding and order processing
  • No visibility into entry backlogs
What's included

Capabilities

Everything we cover in this engagement.

  • Source to target field mapping
  • Validation and deduplication rules
  • Spreadsheet, CRM, and ERP integrations
  • Exception queues with review interface
  • Batch and real time processing
  • Change logs and audit trails
  • Scheduled runs and triggers
  • Reporting on throughput and errors
How we work

Our process

A clear, predictable path from kickoff to outcomes.

01

Assess

We map sources, targets, and pain points.

02

Design

We define mappings, rules, and review steps.

03

Build

We develop and test the data pipeline.

04

Pilot

We run in parallel with current process and tune.

05

Roll out

We launch, train your team, and support changes.

What you get

Deliverables & outcomes

What you get

  • Data entry pipeline
  • Source and target connectors
  • Validation and dedupe rules
  • Exception review dashboard
  • Run logs and reports
  • Process documentation

Outcomes you can expect

  • Lower cost per record processed
  • Higher data quality across systems
  • Faster cycle times for routine work
  • Less rework and fewer corrections
  • More capacity for analysis and growth
Timeline

4 to 8 weeks

Engagement

Monthly retainer, Project, Sprint

Tools we use

n8n, Make, Python, Airbyte, Postgres

KPIs we track

Records processed, error rate, cycle time, dedupe rate, exception volume

Client stories

What clients say

"

Our LCP was 4.8 seconds and Google was punishing us for it. They audited the build, dumped two plugins we did not need, moved hero images to a real CDN, and rewrote the critical CSS. LCP came down to 1.6 seconds within three weeks. Bounce rate on the pricing page dropped by a quarter without us touching the copy.

Sarah K.
"

We were paying three agencies and a lifecycle freelancer to argue over attribution. RevoraOps absorbed all of it in 30 days, killed our worst-performing Meta ad sets, and rebuilt the welcome flow from scratch. CAC dropped 31 percent in the first full month. Honestly the relief of having one weekly call instead of four was worth it alone.

Megan W.
FAQ

Frequently asked questions

Quick answers to the questions we hear most.

Do you work with our existing CRM and ERP?
Yes. We integrate with most common platforms through APIs, connectors, or middleware.
How do you avoid duplicate records?
We apply matching rules and confidence thresholds, with review queues for borderline cases.
What if source data is messy?
We use a mix of rules and language models to normalize values and flag what needs review.
Can we still see what was changed?
Yes. Every action is logged with before and after values and timestamps.
Will this scale with volume?
Yes. We design pipelines for batch and real time loads and scale infrastructure as needed.

Want to stop rekeying data?

We will scope an automation that fits your systems and volumes.