What We Eliminate
Manual data entry is one of the most expensive and error-prone activities in any organization. Every time a person re-keys information from one system to another, they introduce delay and risk. AI-powered data entry automation reads source data, maps it to destination formats, validates it against your business rules, and moves it accurately between systems without human re-keying.
Cross-System Sync
Keep your CRM, ERP, accounting software, and operational tools in sync automatically. When a record updates in one system, the change propagates to every connected system with field-level mapping and transformation rules.
Format Validation
Enforce data quality at the point of transfer. Phone number formats, address standardization, currency conversion, unit normalization. Data enters each system in the exact format it expects, every time.
Exception Flagging
When data does not match expected patterns, the system flags it for human review instead of silently entering bad data. Missing fields, out-of-range values, and duplicate records get caught before they pollute your databases.
Manual Process Elimination
Replace spreadsheet-based data collection, copy-paste workflows, and manual reconciliation processes with automated pipelines that run continuously or on schedule without intervention.
Data Migration Pipeline
Map
Source-to-target field mapping
Transform
Format, clean, normalize
Validate
Business rules and dedup
Load
Insert with rollback safety
Verify
Reconciliation reporting
Map
Source-to-target field mapping
Transform
Format, clean, normalize
Validate
Business rules and dedup
Load
Insert with rollback safety
Verify
Reconciliation reporting
Data Entry & Migration Pipeline
Migration Projects
System migrations are where data entry automation pays for itself fastest. Moving from one CRM to another, upgrading your ERP, consolidating databases after an acquisition. These projects involve thousands or millions of records that need to move accurately between systems with different schemas, naming conventions, and data models.
Schema mapping with AI. We use AI to analyze source and destination schemas and suggest field mappings automatically. A field called "cust_nm" in your legacy system maps to "customer_name" in the new one. Date formats convert. Address components split or merge. The AI handles the tedious mapping work while your team validates the logic.
Incremental migration. For businesses that cannot afford downtime, we design incremental migration pipelines using tools like Apache Airflow, dbt, and custom ETL workflows. Data moves in batches with verification at each step. Both systems run in parallel until the migration is validated and the cutover is clean.
Post-migration validation. Record counts, checksum verification, sample audits, and automated reconciliation reports confirm that every record made the journey intact. We do not consider a migration complete until the numbers match.
Who This Is For
Companies running the same data into three different systems every day. Organizations migrating from legacy software to modern platforms. Businesses that acquired another company and need to merge datasets. Any team where someone's job description includes "data entry" and they wish it did not.
Contact us at ben@oakenai.tech to discuss your data entry challenges and migration needs.