AI Agents for Data Entry Automation
WorkAgentic builds AI agents for data entry automation that read your documents, forms, and emails, extract the fields that matter, validate them against your rules, and enter the data directly into your systems without anyone retyping a thing.
No technical team neededBuilt by CPAs
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Data Entry Automation
Six data entry tasks your team stops running manually
Each agent reads incoming documents and enters the data directly into your systems. No retyping fields, no re-keying the same information twice, no backlog when volume spikes.
Document and Form Data Extraction
- Fields extracted automatically from PDFs, scans, and emailed documents
- No manual reading and retyping of the same fields every time
- Varying vendor or applicant layouts handled without a separate template each time
- Extraction rules updated without rebuilding the entire workflow
- Source document kept linked to the extracted record for reference
Automatic Entry Into Your Systems
- Extracted fields entered directly into your ERP, CRM, or accounting system
- No copy-and-paste step between the document and the destination system
- Entries formatted to match the fields your system already expects
- Multiple destination systems supported for a single document type
- Entries completed continuously rather than in an end-of-day batch
Multi-Format Document Support
- Native PDFs, scanned paper, and photographed documents all supported
- Handwritten fields recognized alongside typed and printed text
- Emailed attachments processed the moment they arrive
- Spreadsheet and image-based submissions read without a manual reformat
- New document formats added without rebuilding the whole workflow
Field Validation and Error Flagging
- Extracted fields checked against expected format and range automatically
- Low-confidence reads flagged instead of entered as if they were certain
- Duplicate submissions caught before they create a second record
- Validation rules configured per field instead of applied uniformly
- Bad data caught before it reaches your system, not after
Exception Routing for Unclear Data
- Documents the agent cannot read confidently are routed to a person
- Exceptions grouped by reason so review time goes where it matters
- Reviewer corrections applied directly without a second data entry step
- Repeat exception patterns surfaced so root causes can be fixed
- Nothing gets entered incorrectly just to keep the queue moving
Entry History and Audit Log
- Every entry logged with the source document and a timestamp
- Corrections tracked so the original and revised values are both visible
- Records available for audit without reconstructing them after the fact
- Volume and accuracy trends visible over time, not just per document
- History retained even after the source document has been archived
Built Around Your Workflow
Your existing systems are already the source of truth
WorkAgentic builds each workflow automation agent around the systems, rules, and approval logic your team already uses. Nothing about how your team works today needs to change. The agent runs in the background, and your team reviews exceptions and keeps final say.
Zero new software for your team to learn. The agent runs inside your existing systems. Your team sees the output, not the engine.
100+
systems we connect to
Any API
if it exports data, we connect
NetSuite
SAP
Salesforce
Xero
Oracle
Dynamics
Sage
100+
more systems
SAP, Oracle, Workday, Monday.com, Asana and any system with a structured API or data export
Case Studies
AI agents we have already built and deployed
Real deployments. Real outcomes. Each agent was built from scratch around the client's exact workflow.
Frozen Foods / CPGHow a $150M Frozen Foods Distributor Eliminated Overnight Temperature Risk and Prevented $200K–$250K in Annual Losses
A leading frozen foods distributor managed millions of dollars of temperature-sensitive inventory across its refrigerated fleet but had no visibility into trailer temperatures during overnight hours. This created a significant risk of product spoilage, inventory loss, and customer service disruptions.
Read case study
CPG / Consumer Packaged GoodsHow a $50M CPG Brand Replaced a $180K TPM System and Unlocked $300K in Annual Value Using Open-Source TPM and Agentic AI
A $50 million consumer packaged goods (CPG) brand was struggling with the growing complexity of trade promotion management. Despite investing heavily in a traditional TPM platform, many critical processes remained manual, including trade planning, accrual management, deduction reconciliation, customer profitability reporting, and trade spend analysis.
The company was spending approximately $180,000 annually on TPM software while dedicating significant internal resources to managing promotions, deductions, and reporting activities.
Read case study
Frozen Foods / CPGHow a $250M+ Frozen Food Manufacturer Cut Daily Inventory Reporting from 120 Minutes to 5 Minutes and Saved $44,000 Annually
A $250M+ frozen food manufacturer managed inventory across multiple third-party warehouses and cold storage facilities. Accurate inventory visibility was critical for supply planning, production scheduling, customer service, and inventory management.
However, the company relied on a highly manual inventory reporting process that required data from twelve separate sources, including warehouse portals and accounting system reports, to be downloaded, reconciled, and consolidated twice each day.
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CPG / Business Process OutsourcingHow a $800M CPG Company Replaced OCR and Manual Data Entry with Agentic AI, Generating $592,000 in Annual Savings and a 4.6x ROI
A leading business services provider supported multiple consumer packaged goods (CPG) companies with aggregate annual sales exceeding $800 million. The organization was responsible for transcribing retailer deduction documentation, validating deductions against trade promotion planners, proof-of-performance documents, and promotional contracts across multiple customers, channels, and retailer platforms.
As client volumes increased, the process of extracting, validating, and transferring retailer data into spreadsheets, reports, and operational dashboards became increasingly dependent on manual labor.
Read case study
Watch the Agent Work
See a data entry automation agent running live
A 3-minute walkthrough showing how the agent reads an incoming document, extracts and validates the fields, enters the data into the destination system, and flags anything it isn't confident about.
Document read and fields extracted automatically as it arrives
Extracted fields validated against your defined rules
Clean data entered directly into your destination system
Low-confidence fields flagged for review instead of guessed
No commitment. We demo with a real workflow automation setup, not a sandbox.
Start with data entry automation. Add more workflow automation agents as your team grows.
WorkAgentic deploys data entry automation that reads incoming documents, extracts and validates the fields that matter, and enters clean data directly into your systems without anyone retyping it by hand.
WORKFLOW AUTOMATION
Approval Workflows
- WorkAgentic deploys approval workflow automation that routes every request to the right approver, tracks it through each sign-off step, and escalates automatically so nothing sits waiting on an inbox.
Data Entry Automation
- AI agents for data entry automation. Extract data from documents and forms and enter it into your systems automatically, with no manual keying.
Portal Data Extraction
- WorkAgentic builds AI agents for portal data extraction. Log into external portals and pull data automatically, no API required.
Workflow Exception Detection
- WorkAgentic builds AI agents for workflow exception detection. Catch bad data and rule violations the moment a workflow breaks.
Cross-System Automation
- WorkAgentic builds AI agents for cross-system automation. Move data between disconnected systems automatically.
Email Inbox Automation
- Triage incoming email, extract the request, and route or draft replies automatically.
Human-in-the-Loop Workflows
- WorkAgentic builds AI agents for human-in-the-loop workflows. Pause for review at defined checkpoints only.
Task Routing
- WorkAgentic deploys task routing that assigns every incoming task to the right person by skill and workload, no matter which channel it came from, so nothing sits waiting for a manual decision.
Workflow Monitoring
- Track uptime, SLA adherence, and throughput across every automated workflow in one place.
Workflow Orchestration
- Coordinate multiple systems and steps into one sequenced process, from trigger to completion.
FAQ
Questions about data entry automation
Clear answers on how the agent reads documents, validates fields, enters data, and what your team stays responsible for.
Data entry automation agents are AI agents that extract data from documents, forms, emails, and scanned files, then enter it directly into your business systems without anyone typing it in by hand. WorkAgentic builds data entry automation agents for teams who currently retype information from invoices, applications, or intake forms, and lose hours to a task that produces no new judgment or decisions.
Data entry automation takes data from a document, form, or email and enters it into an internal system such as an ERP or CRM. Portal data extraction pulls data out of an external web portal that has no API, such as a vendor or government site, and does not necessarily involve keying data into another system. This page covers the document-to-system agent. A separate portal data extraction agent covers pulling data out of locked-down external sites.
The agent reads PDFs, scanned paper forms, spreadsheets, emails, and images of documents. Both structured forms with consistent layouts and semi-structured documents such as invoices from different vendors are supported.
The agent validates each extracted field against rules you define, such as expected format or range. Fields that fail validation or that the agent cannot read with confidence are routed to a person for review instead of being entered incorrectly.
The agent enters data into your ERP, CRM, accounting system, or any internal system your team already uses, connecting through an API or a structured data interface. No new database or intermediate system is required.
No. The agent removes the repetitive typing and re-keying work. Your team keeps responsibility for reviewing flagged exceptions, handling unusual documents, and making any judgment call the agent is not configured to make on its own.
Yes. The agent processes documents continuously as they arrive rather than in a manual batch, so volume spikes do not create a backlog the way a manual queue would.
Zero new software for your team to learn. The agent runs inside your existing systems. Your team sees the output, not the engine.
Get Started
Ready to stop retyping the same fields every day?
Book a free 30-minute data entry process review. We map your document volume, formats, and destination systems and show you where automation removes the most manual work first.
Book a Free Data Entry Process Review