Connect ADP and
Airflow with AI

Redbird AI syncs payroll, employee, and time tracking data from ADP directly into your Airflow pipelines. Stop exporting CSV files, manually scheduling data refreshes, and building custom API integrations to keep your HR analytics current.

No code required
Live in minutes
SOC 2 Type II

What you can automate today

Redbird gives your team ready-to-run workflows — just connect your accounts and go.

Sync new employee records from ADP to data warehouse via Airflow DAG

When new employees are added in ADP, automatically trigger an Airflow DAG that extracts their profile, compensation, and benefits data, transforms it for analytics, and loads it into your warehouse. Keep your people analytics dashboard current without manual syncs.

Orchestrate daily payroll data pipeline from ADP to finance reporting systems

Schedule an Airflow workflow that pulls completed payroll runs from ADP each day, validates tax withholdings and deductions, and pushes aggregated totals to your financial data warehouse. Eliminate manual payroll reconciliation and ensure accounting reports reflect the latest pay cycles.

Alert finance team when ADP payroll processing triggers downstream Airflow failures

Monitor Airflow DAG runs that depend on ADP payroll data. When pipeline tasks fail due to missing or malformed payroll files, automatically notify finance and HR teams with context about which pay period and employee records are affected so they can address issues before reporting deadlines.

Archive historical time and attendance data from ADP to cold storage monthly

Run a monthly Airflow job that extracts time tracking and PTO records older than 18 months from ADP, compresses them with metadata for compliance, and moves them to archival storage. Maintain audit trails while keeping operational ADP data lean.

Enrich ADP employee records with departmental cost center data from warehouse pipelines

When Airflow completes nightly budget allocation jobs, push updated cost center assignments and departmental codes back to ADP employee profiles. Keep HR records aligned with the latest organizational structure without manual updates across systems.

Generate executive compensation reports by orchestrating ADP and financial data transformations

Trigger complex Airflow DAGs that pull salary, bonus, and equity data from ADP, join it with performance metrics and budget data from other sources, apply anonymization rules, and output executive compensation reports. Automate multi-step reporting workflows that previously required days of manual data preparation.

Live in four steps

No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.

01

Connect your accounts

Authorize ADP and Airflow with OAuth or API credentials. Redbird never stores your data — it just passes through.

02

Describe what you want

Tell Redbird what to do in plain language — no SQL, no code, no configuration files required.

03

Review and activate

Redbird shows you exactly what it will do before running anything. Approve the workflow, set a schedule, and switch it on.

04

Let it run — and iterate

Workflows run on your schedule or on triggers. Every run is logged. Adjust with natural language at any time.

Built for data-driven teams

Redbird understands ADP's payroll and HR data structures alongside Airflow's DAG configuration, task dependencies, and execution patterns—so you can automate data workflows without writing custom operators.

AI that speaks both HR systems and data orchestration

Redbird's AI understands ADP's employee records, pay group structures, tax filing schemas, and time tracking formats. It also knows how to trigger Airflow DAGs, pass XCom variables, set task dependencies, and handle retry logic. Map ADP payroll runs to warehouse tables, transform benefits enrollment data for analytics, or schedule compliance reports—all without building custom API connectors or maintaining fragile Python scripts that break when either system updates.

Employee master data mapping
Payroll cycle orchestration
Time tracking ETL automation
DAG triggering and monitoring
10×

faster than building custom ADP API operators and data pipeline scripts

No custom Airflow hooks, manual schema mapping, or Python scripts to extract ADP data

Auto-generated reports

Redbird can pull from ADP and Airflow simultaneously, merge the results, and format a polished report — sent on a schedule or on demand.

Trigger-based alerts

Set conditions in natural language. Get notified in Slack or email the moment a threshold is crossed in either ADP or Airflow.

Enterprise-grade security

SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.

Bidirectional sync

Push data from ADP into Airflow, or from Airflow back into ADP. Resolve conflicts with configurable merge rules.

Full audit trail

Every workflow run is logged — what ran, what changed, and why. Replay or revert any individual step at any time.

Triggers & actions for every team

Start workflows from payroll events in ADP or pipeline executions in Airflow—Redbird connects both systems bidirectionally.

ADP
Triggers & Actions
Trigger

Payroll run completed

Trigger when a payroll cycle finishes processing for a specific pay group in ADP.

Trigger

New employee hired

Trigger when a new employee record is created in ADP with active status.

Trigger

Time-off request approved

Trigger when a PTO or leave request receives final approval in ADP.

Action

Extract employee data

Pull employee profiles, compensation, benefits, and demographic data from ADP.

Action

Retrieve payroll summary

Get aggregated payroll totals, tax withholdings, and deductions for a specific pay period.

Action

Update employee cost center

Write updated departmental assignments or organizational codes to employee records in ADP.

Airflow
Triggers & Actions
Trigger

DAG run succeeded

Trigger when an Airflow DAG completes all tasks successfully.

Trigger

Task failed with retry exhausted

Trigger when an Airflow task fails after all retry attempts are used.

Trigger

Sensor detected new data

Trigger when an Airflow sensor confirms new source data is available for processing.

Action

Trigger DAG with parameters

Start a specific Airflow DAG run with custom configuration variables or execution date.

Action

Clear task instance state

Reset task status in Airflow to rerun specific pipeline steps without full DAG rerun.

Action

Set XCom variable

Push context data into Airflow's XCom for cross-task communication within a DAG.

ADP
+
Airflow

Ready to connect your stack?

See how Redbird AI can sync ADP with Airflow and automate your HR data pipelines. Connect your tools and start building workflows in minutes, not weeks.

Get started → Book a demo