Financial Due Diligence Prep for Payroll Managers with ADP Workforce Now

ADP Workforce Now Payroll Manager Multi-State Payroll

The Problem

Quality-of-earnings work for Multi-State Payroll targets starts with 18 months of trial balances and a dozen schedules that need normalization before any adjustment can be proposed.

What We Build in ADP Workforce Now

AI standardizes TB data across periods, builds the QoE model, identifies add-backs with source-document evidence, and drafts the data-book — senior analysts focus on judgment calls, not reformatting. Purpose-built for teams running ADP Workforce Now — uses the native API or agent integration so nothing leaves the system of record.

ADP Workforce Now Integration Approach

1

Audit your ADP Workforce Now configuration

We map the specific ADP Workforce Now objects, custom fields, and workflows the automation needs to touch for your multi-state payroll practice.

2

Build on the ADP Workforce Now API or agent

Integration happens inside ADP Workforce Now — no data leaves the system, no parallel tool for your team to learn, no license changes.

3

Human-in-the-loop handoff

Every automation routes exceptions back to a human in ADP Workforce Now with enough context to act — AI handles the 80%, your team owns the judgment calls.

See this running in your ADP Workforce Now instance

30-minute call. We'll look at your actual ADP Workforce Now setup and show exactly how this workflow fits.

More About This Workflow

Financial Due Diligence Prep for Payroll Managers

AI standardizes TB data across periods, builds the QoE model, identifies add-backs with source-document evidence, and drafts the data-book — senior analysts focus on judgment calls, not reformatting.

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