Redbird AI syncs payroll data, employee records, and HR reports from ADP directly to Amazon S3—automatically. Stop manually exporting payroll files, downloading reports for analysts, or writing custom scripts to move workforce data into your data lake.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically extract payroll register data after each pay run completes in ADP and stage it as structured files in your S3 data lake. Redbird handles incremental updates, file formatting, and folder organization so your ETL pipelines always have fresh payroll data ready to load into your warehouse.
Continuously back up employee profiles, termination records, and compliance documents from ADP to S3 with automatic versioning and retention policies. Redbird ensures your HR data archive meets audit requirements while reducing ADP storage costs.
Extract daily snapshots of employee headcount, compensation, department assignments, and organizational structure from ADP to S3. Redbird formats and partitions the data so your analytics team can track workforce trends over time without manual exports.
Pull time tracking, PTO balances, and attendance records from ADP and organize them in S3 by department and pay period. Redbird structures the data for easy consumption by your BI tools, enabling labor cost analysis and overtime reporting without ADP report limits.
Automatically capture complete benefits selections, coverage levels, and dependent information from ADP after enrollment windows close and store them in S3 for historical analysis. Redbird ensures year-over-year benefits data is preserved in a consistent format for actuarial modeling and cost forecasting.
Build custom HR reports combining turnover rates, time-to-hire, headcount changes, and compensation metrics from ADP, then automatically save formatted reports to S3 buckets shared with leadership and finance teams. Redbird handles scheduling, formatting, and distribution without manual report generation.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize ADP and Amazon S3 with OAuth or API credentials. Redbird never stores your data — it just passes through.
Tell Redbird what to do in plain language — no SQL, no code, no configuration files required.
Redbird shows you exactly what it will do before running anything. Approve the workflow, set a schedule, and switch it on.
Workflows run on your schedule or on triggers. Every run is logged. Adjust with natural language at any time.
Redbird AI understands ADP's payroll and HR data structures and Amazon S3's object storage patterns—no custom code required to move workforce data into your lake.
Redbird natively understands ADP's employee records, payroll registers, time tracking tables, benefits elections, and org hierarchies. It automatically maps these to clean, partitioned files in S3—whether you need CSV, Parquet, JSON, or compressed formats. The AI handles schema evolution when ADP fields change, manages incremental updates to avoid duplicate data, and structures folders by date, department, or custom logic. No more brittle scripts breaking when ADP adds a column.
faster than building custom ADP API scripts and S3 upload logic
Redbird can pull from ADP and Amazon S3 simultaneously, merge the results, and format a polished report — sent on a schedule or on demand.
Set conditions in natural language. Get notified in Slack or email the moment a threshold is crossed in either ADP or Amazon S3.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from ADP into Amazon S3, or from Amazon S3 back into ADP. Resolve conflicts with configurable merge rules.
Every workflow run is logged — what ran, what changed, and why. Replay or revert any individual step at any time.
Start automations from payroll events in ADP or file arrivals in S3—Redbird connects both directions.
Trigger when a payroll run finishes processing in ADP for any pay group or schedule.
Detect when employee profile information, job details, or compensation changes in ADP.
Trigger when a new employee is created in ADP during onboarding.
Pull detailed payroll register data for specific pay periods with earnings, deductions, and taxes.
Retrieve current employee directory with demographics, job titles, departments, and managers.
Export hours worked, PTO taken, and attendance records for specified date ranges.
Detect when files are added to specific S3 buckets or prefixes for downstream processing.
Trigger when existing S3 objects are updated or replaced in your buckets.
Check S3 locations on a schedule to detect new files matching naming patterns.
Write CSV, JSON, Parquet, or other formatted files to S3 with custom folder structures.
Organize data into Hive-style partitions by date, department, or custom dimensions.
Store files in S3 with gzip, snappy, or other compression for cost-effective long-term storage.
Stop manually exporting ADP data and uploading files to S3. Redbird AI automates your payroll and HR data pipelines so your analysts always have fresh workforce data in your lake.