AI Enablement for Workday Customers

Built for the Workday Ecosystem

Our AI Readiness Assessment

A consultative assessment that maps every Workday agent to your environment — showing where AI delivers value today, what’s blocking adoption, and exactly what it takes to get there.

Contextualize AI & agent adoption
Guide Flex Credit utilization
Surface module gaps
Sample Agent Readiness Report

Payroll Agent

Ready

Self Service Agent

Ready

BP Optimize Agent

Ready

Frontline Agent

Partial

Contract Intelligence

Procure SKU

29

Present & Future Agents
& AI Features Mapped

Full Suite

Workday Modules
Mapped

100%

Contextualized by
Vertical & Industry

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The Problem

You may want Workday agents.
But you don’t know where to start.

Everyone is having the AI conversation.

Organizations are signing UMSAs, getting into Preview — and then asking the question nobody has a great answer for yet.

“We signed the UMSA…
now what?”

Organizations may see the vision but need a roadmap. Commit assesses your environment and identifies exactly which agents to activate first — and why.

“Our data might not be ready, but we don’t know.”

Many organizations assume they’re either fully ready or fully not. The reality is nuanced — some agents work immediately, others need groundwork. Our assessment paints a clear picture.

“What modules do we need for this to work?”

Every agent has product dependencies. Organizations can’t see the map between what’s ready and what’s missing. Seeing the path drives progress.

How it Works

From questionnaire to roadmap, in one motion.

Commit’s AI Readiness Assessment is a consultative tool — not a self-serve survey. We send the diagnostic questionnaire ahead of the session, then walk through the findings with you in real time.

01

Capture Context

Organizations provide their SKU list and fill out a short qualitative questionnaire. Industry, module landscape, external systems, projects in flight — everything the assessment needs to be specific to your tenant.

02

Diagnose & Score

The app scores foundation health and business area readiness, then maps all present and future Workday agents to your environment. A dependency engine shows how upstream gaps impact downstream agent readiness.

03

Deliver the Roadmap

You walk away with a clear picture: which agents to activate now, what needs work first, which modules unlock the most value, and a phased plan to get there. Delivered as a curated PDF.

Next Steps

Ready to understand where your Workday environment stands today and what it will take to get AI working for your organization?

Book a complimentary 30-minute session with our team.

We’ll learn about your organization, walk you through our assessment methodology, and demo the tooling we use to map your current Workday configuration against the full landscape of available AI agents and SKUs.

Book Your Demo

Deployment Methodology

AI doesn’t wait until you’re ready.

It meets you where you are.

The Readiness Overview creates an instant snapshot: overall AI readiness score, foundation health across key dimensions (data quality, security, integrations, configuration, and adoption), and business area readiness scored across the full Workday suite. One screen that provides both insight and direction.

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Deployment Process

Measure

Granular, module-by-module assessment of where you stand

Implement

Hands-on configuration, deployment, and tenant tuning

Enable

Training every persona on AI-augmented workflows

Areas mature enough that AI can operate across system boundaries with minimal human oversight. The work here is building custom solutions: designing agent workflows that span Workday and external systems, deploying enterprise knowledge AI, and establishing the governance framework that allows autonomous operation within defined boundaries.

This is intelligent payroll cycle management, cross-system workflow automation, and custom agents that connect your entire ecosystem — where your team focuses on the exceptions that need judgment, not the routine that doesn’t.

Agents
  • Custom Agents (Flowise)
  • Sana
  • Extend Pro Apps
  • Pipedream Integrations

Areas where the foundation is solid, configurations are stable, and data flows are reliable. The work shifts from fixing to enhancing: deploying AI capabilities that make trustworthy recommendations, enabling your people to work alongside agents, and tuning those agents as they learn your environment.

This is where matching candidates to roles, answering employee questions with confidence, and surfacing compensation insights becomes possible — because the data underneath is clean enough for AI to amplify strengths instead of gaps.

Agents
  • Recruiter Agent
  • Talent Mobility Agent
  • Self-Service Agent
  • Compensation Agent

Areas of your platform where configuration issues, data gaps, or process fragility are creating manual work, errors, or risk. The work here is getting under the hood: correcting configurations, stabilizing integrations, cleaning data, and optimizing business processes.

What makes this phase different is that AI actually helps here — diagnostic agents find problems, surface inefficiencies, and accelerate fixes faster than manual audits. Your platform doesn’t need to be perfect for them to work. Finding what’s broken is exactly what they’re designed to do.

Agents
  • BP Optimize Agent
  • Financial Audit Agent
  • Payroll Agent (diagnostic)

The bedrock everything sits upon:

  • Job Architecture quality
  • Workday Data integrity
  • Governance maturity
  • Operating Model clarity

When this layer is weak, every system that reads from it — Payroll, Compensation, Benefits, Scheduling — inherits the weakness. And every AI agent that queries it produces outputs only as reliable as what’s underneath.

For organizations building this layer, the work is structural: job architecture design, time studies to understand how people spend their time and what AI could augment, operating model alignment, and governance frameworks.

For organizations where the foundation is already strong, the work shifts to future-of-work redesign — rethinking how each role leverages AI to focus on higher-value activities.

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