Agentic enterprise · Workday data + workflows + governance

Workday AI & AI Agents from trusted use case to governed digital workforce

Design valuable AI-assisted and agentic HR and finance experiences, set appropriate autonomy and govern digital work with evidence, security and human accountability.

A cross-functional program for Workday consultants, product owners, HR and finance leaders, architects, analysts and governance professionals preparing for agentic operations.

Explore curriculum →
SanaAgent use casesASORWorkday BuildEvaluationGovernance
Direct answer

Build capability from business question to operating evidence.

Design valuable AI-assisted and agentic HR and finance experiences, set appropriate autonomy and govern digital work with evidence, security and human accountability. The program connects platform knowledge to requirements, configuration or design, validation, governance and workplace communication.

01

Discover

Clarify outcomes, users, process, data and risk.

02

Design

Select structures, controls and platform patterns.

03

Validate

Test behaviour, access, data and business evidence.

04

Operate

Support adoption, monitoring and improvement.

Graduate capabilities

Leave with skills you can show and defend.

01

Choose use cases

Identify high-value HR and finance friction, define outcomes and decide whether assistance, workflow automation or an agent fits.

02

Design agents

Map intent, context, skills, tools, approvals, escalation, audit and safe failure around Workday processes.

03

Evaluate behaviour

Create test sets, rubrics and thresholds for usefulness, groundedness, safety, fairness, latency and cost.

04

Govern lifecycle

Register, monitor, measure, change and retire agents with clear owners, permissions and human accountability.

Curriculum

Twelve connected modules. One workplace story.

Every module produces reviewable evidence that feeds the final capstone and portfolio case.

01AI, GenAI and agent foundationsModels · assistants · agents · autonomy

Build practical literacy in predictive AI, generative AI, agent components, uncertainty and responsible enterprise use.

Lab evidence · AI suitability and autonomy canvas
02Workday AI platform directionSana · trusted data · workflows · experiences

Understand how Workday positions Sana, embedded AI, agents and people-and-money context across enterprise work.

Lab evidence · Workday AI capability map
03Agentic HR use casesSelf service · recruiting · talent · workforce

Discover HR use cases, model employee and manager journeys and define value without automating unsuitable decisions.

Lab evidence · HR agent opportunity portfolio
04Agentic finance use casesContracts · expenses · audit · close

Frame finance-agent opportunities around extraction, exceptions, assistance and controlled action.

Lab evidence · Finance agent opportunity portfolio
05Agent experience and conversation designIntent · context · transparency · fallback

Design understandable agent interactions, confirmations, sources, handoffs and recovery for consequential work.

Lab evidence · Agent experience blueprint
06Agent architecture and Workday BuildSkills · tools · APIs · orchestration · data

Map agents, skills, tools, Workday data, external systems and orchestration while identifying build-versus-buy boundaries.

Lab evidence · Agent architecture diagram
07Agent System of RecordRegistration · ownership · analytics · lifecycle

Model central inventory, ownership, permissions, measurement and lifecycle governance across first- and third-party agents.

Lab evidence · ASOR governance model
08Security, privacy and responsible AILeast privilege · sensitive data · fairness · audit

Apply identity, permissions, data minimisation, transparency, human oversight and responsible-AI review.

Lab evidence · AI risk and control register
09Evaluation and release gatesDatasets · rubrics · red teams · thresholds

Build offline and scenario tests for quality, groundedness, tool use, safety, fairness, escalation, latency and cost.

Lab evidence · Agent evaluation suite
10Human-agent operating modelRoles · approvals · escalation · adoption

Redesign work between employees, managers, specialists and agents with decision rights and exception ownership.

Lab evidence · Human-agent operating model
11Operations and value realisationMonitoring · incidents · drift · ROI · change

Plan agent analytics, feedback, incident response, adoption, cost and continuous-improvement decisions.

Lab evidence · Agent operations dashboard
12Capstone and governance reviewUse case · architecture · evidence · launch

Defend value, architecture, evaluation, controls, rollout and retirement conditions for a bounded Workday agent.

Lab evidence · Governance board review and portfolio case
Applied capstone

Build and defend GlobalTech Employee Service Agent.

Flagship project

GlobalTech Employee Service Agent

Design a bounded self-service agent for pay, time-off and policy questions that uses authorised Workday context, completes low-risk tasks, escalates exceptions and produces auditable evaluation evidence.

  • Requirements and business outcome
  • Platform design and decision log
  • Security and governance evidence
  • Test, reconciliation and quality results
  • Release, adoption and support plan
01 · DISCOVER

Frame

Users, process, outcome, data and constraints.

02 · DESIGN

Build

Structures, logic, controls and experience.

03 · VALIDATE

Prove

Scenarios, access, quality and reconciliation.

04 · REVIEW

Defend

Trade-offs, readiness and improvement plan.

Assessment

Completion is based on observable evidence.

Design quality

The solution fits the business scenario, platform boundaries and operating model.

Control and trust

Access, approvals, privacy and exception handling are explicit and tested.

Evidence quality

Outputs reconcile to expectations and defects or uncertainty are explained.

Consulting communication

Decisions, trade-offs and recommendations are clear to business and technical reviewers.

The Digital Edify completion certificate is an institute credential. It is not a Workday-issued certification, university degree or government qualification.

Career pathways

Prepare for a connected role family.

Workday AI ConsultantWorkday AI Product OwnerAgent Governance AnalystHR AI Business AnalystWorkday Solution ArchitectDigital Workforce Program Analyst

Titles and requirements vary by employer. Completion does not guarantee certification eligibility, employment, interviews, placement, title or salary.

Curriculum currency

Reviewed against official Workday product direction.

The curriculum was reviewed on 1 September 2026. Product availability, names and functionality depend on customer licensing, geography, tenant configuration and release status. Announced future capabilities are not treated as guaranteed generally available functionality.

Workday AI ↗ Sana AI Agents ↗ Agent System of Record ↗ Responsible AI ↗ Workday Build ↗
FAQ

Straight answers before you enrol.

Do I need prior Workday experience?

No. The program begins with foundations and progresses into applied platform work. Relevant domain experience is useful but not mandatory.

Will I receive tenant access?

Hands-on work requires an authorised training environment. The exact environment, enabled functionality, roles and availability are confirmed during enrolment.

Does this guarantee an official Workday certification?

No. Official certification access and eligibility are controlled by Workday and participating ecosystem organisations. Digital Edify does not promise a certification attempt.

Will I build a portfolio?

Yes. Each module contributes evidence to a complete capstone case covering requirements, design, controls, validation and operating readiness.

Does career support guarantee a job?

No. Career support may include portfolio, resume and interview preparation, but employment or placement outcomes cannot be guaranteed.

Build credible Workday capability

Connect platform skills to business outcomes.

Speak with an advisor about your background, hands-on environment and current classroom or live-online options.