7 must‑know Workday HR workflows powered by Sana's AI layer

Jacob Jonsson

Workday HCM is the system of record for millions of employees—but extracting maximum value from it still depends on people clicking through screens, chasing approvals, and reconciling data manually. Sana changes that. As Workday's answer to fragmented work, Sana is an AI layer that sits on top of your systems and lets people simply express what they need to get done, while AI handles the rest.

This article walks through seven high-value HR workflows where Sana's enterprise AI agents—built for HR workflow automation, no-code deployment, and Workday AI integration—deliver measurable results without ripping out anything you already rely on.

Quick definitions: An AI agent is a software entity that autonomously executes work—like onboarding a new hire or triaging an HR ticket—by consuming Workday data and applying decision logic. An AI layer is an integration of intelligent tools on top of an existing HR platform, enabling new workflow automation, real-time analytics, and cross-system coordination without replacing core data infrastructure.

The seven workflows we'll cover:

Intelligent onboarding with personalized automation
Adaptive learning and development tailored to skill gaps
Performance review automation and data-driven insights
Payroll and benefits reconciliation enhanced by AI
Time and attendance exception handling with smart classification
Employee service request routing using natural language processing
Succession and talent planning with predictive analytics

Sana's AI Layer on Top of Workday HCM

Workday centralizes the entire employee lifecycle—from recruitment to retirement—with built-in analytics and automation [1]. But most enterprises run dozens of other systems alongside it, and that's where workflows break down. Sana's no-code AI agents tap directly into Workday's foundation and extend it across the rest of your stack.

What makes this possible is the unique position Sana occupies. Because Sana lives inside Workday's governed context and process graph, you get AI that is grounded in the deepest possible understanding of your people, business processes, and controls. Connect Sana to the rest of your apps, and your agents have the full context they need to deliver work end-to-end.

Sana works at two levels of depth: Sana Core is the Workday-native starting point, built exclusively on your Workday data—HR and Finance—and gives you read and write actions in Workday through the self-service agent, agentic chat, automated HCM and Finance workflows, and enterprise search across the Workday suite. Sana Enterprise is the unified front door for any business task, with deep integrations to third-party systems—ServiceNow, Salesforce, Google Drive, Confluence, and more—with automated workflows that span your entire productivity tech stack and unified governance across all of it.

If you run Workday HR, Sana's layer is built for you. Common entry points include onboarding, HR ticket routing, policy Q&A, learning recommendations, time-off requests, and payroll exception handling—all powered by agents that respect your existing permissions.

1. Intelligent Onboarding with Personalized Automation

Intelligent onboarding uses AI to coordinate tasks, collect documents, and deliver content tailored to each new hire's role, location, and skill needs—turning a checklist into a guided experience.

Workday offers turnkey onboarding tools, but customers frequently report them as time-consuming to configure for the variety of roles and geographies they hire across [2]. Sana's no-code agents close that gap.

Here's what an onboarding agent typically handles end-to-end:

Pre-fills forms and digital paperwork with existing Workday data
Sequences training tasks, e-signatures, and policy acknowledgments
Provisions IT access, email, and collaboration tool accounts
Notifies managers and tracks completion in real time

Sana's depth here scales with your tier. In Sana Core, agents generate offers, create new-hire records, and trigger standard onboarding tasks and checklists inside Workday. In Sana Enterprise, agents orchestrate full onboarding across Workday, identity/IT, email, and collaboration tools—provisioning accounts, notifying managers, and tracking completion automatically.

Outcomes: shorter onboarding cycles, higher new-hire engagement, and far fewer manual interventions for HRBPs and IT.

2. Adaptive Learning and Development Tailored to Skill Gaps

Adaptive learning is a process where content and assessments dynamically adjust to each employee's skills, preferences, and role requirements.

Workday Learning already provides a connected, intelligent foundation for managing internal and external content libraries, automated learning campaigns with dynamic audiences, and complex regulatory requirements [1]. Sana's AI layer adds the personalization and execution speed modern workforces demand.

In Workday Learning, powered by Sana, AI agents work alongside learners, creators, and admins—personalizing learning, automating execution, and enabling faster, smarter decisions, all grounded in trusted Workday data. A personal AI tutor understands each employee's role, current skills, and career goals, then recommends what to focus on next in the flow of work.

Legacy L&D vs. agent-driven L&D

Legacy L&D	Sana + Workday L&D
Manual course assignment	AI-matched content based on role and skills
Static learning tracks	Real-time skill-gap tracking and re-routing
One-size-fits-all compliance	Targeted compliance to the right audiences
Reporting after the fact	Continuous analytics tied to business outcomes

Outcomes: higher completion rates, better internal mobility readiness, and a measurable shift from "training delivered" to "skills built."

3. Performance Review Automation and Data-Driven Insights

Performance review automation is the application of AI to orchestrate review scheduling, evidence collection, and guidance—minimizing manual administration and rater bias.

Workday already centralizes employee profiles, performance history, compensation, and feedback in one system [3]. Sana's agents put that data to work.

In Sana Core, agents guide managers through performance review cycles in Workday, summarising goals, feedback, and ratings to reduce admin time. In Sana Enterprise, agents compile reviews by pulling data from Workday, feedback tools, 1:1 notes, and goal trackers, then orchestrate reminders and approvals across teams.

Tangible impacts include:

Shorter review cycles with fewer administrative bottlenecks
More consistent rater calibration thanks to evidence-backed summaries
Proactive detection of high- and low-performer trends
Full audit trail and traceability for compliance reviews [1]

4. Payroll and Benefits Reconciliation Enhanced by AI

Payroll reconciliation is the process of verifying employee pay and benefits data to identify and resolve mismatches or anomalies before payroll runs.

Workday handles payroll processing at enterprise scale, but reconciliation is still an error-prone activity that consumes payroll specialists' time [1]. Sana agents shrink that workload by spotting issues in real time.

In Sana Core, agents validate and correct routine payroll entries inside Workday—missing hours, standard adjustments—before each run to reduce manual review. In Sana Enterprise, agents coordinate end-to-end payroll exceptions across Workday, HR ticketing, email, and banking systems, from detection through employee communication and approval.

A typical reconciliation flow:

Agent scans Workday entries against historical patterns and policy
Flags anomalies (missing hours, benefits mismatches, deduction errors)
Auto-resolves in-policy items; routes complex cases to specialists
Notifies employees of self-service corrections where appropriate

Outcomes: fewer pay exceptions, faster resolution time, and increased employee trust in payroll accuracy.

5. Time and Attendance Exception Handling with Smart Classification

Exception handling in HR means automated review and correction of irregular time or attendance entries—missed punches, overtime disputes, schedule conflicts.

Workday tracks time and attendance at scale [4], but escalations still bottleneck on human reviewers when records don't match policy. Sana agents pre-process those exceptions.

A step-by-step example:

Agent detects a time entry error from the Workday feed (e.g., missed clock-out)
Suggests a resolution based on schedule, policy, and historical pattern
Notifies the manager for one-click approval, or triggers the next workflow step automatically
Logs the decision in Workday with full audit trail

Outcomes: fewer time-tracking errors making it to payroll, fewer manager escalations, and reduced compliance risk in regulated industries.

6. Employee Service Request Routing Using Natural Language Processing

NLP (natural language processing) enables computers to understand, interpret, and act on human language—including the messy, ambiguous way employees actually describe HR problems.

Workday's Slack and Teams integrations support case routing, and Sana's agents add advanced intent recognition, richer context, and end-to-end workflow automation on top [1]. Employees just ask in natural language, and Sana decides what to do.

This is where Sana's role as an orchestrator matters. Sana becomes the orchestration layer for all your agents and tools—Workday-native, third-party, and custom. Employees get one "front door" and one UI for AI; IT gets a single control plane to manage security, permissions, compliance, and auditability.

Key benefits:

Auto-categorization of incoming tickets by intent and priority
Context-aware routing to payroll, benefits, IT, or facilities
Faster first response and resolution, with audit trails preserved
A single experience for employees regardless of which underlying agent does the work

7. Succession and Talent Planning with Predictive Analytics

Predictive analytics in HR uses historical and current data to forecast trends like attrition, internal mobility, and readiness for promotion.

Workday already centralizes employee profiles, compensation history, and feedback data [3]. Sana's AI agents turn that signal into action—surfacing risks early enough that HR leaders can do something about them.

AI-mature succession workflows include:

Flight-risk warnings paired with recommended mitigation paths
Internal candidate mapping for critical roles, weighted by skills and readiness
Automated retention and development action recommendations
Equitable promotion modeling that flags bias before decisions are finalized

Outcomes: higher retention of key talent, deeper bench strength, and more equitable, defensible promotion cycles.

Business Outcomes from Combining Sana AI and Workday Data

The strategic value comes from compounding effects: cycle times shrink, exceptions get resolved before they become problems, and HR teams spend their time on judgment rather than administration. Research from Workday emphasizes that a significant portion of AI-driven productivity gains is lost to low-quality outputs and manual rework [5]—which is exactly why Sana's grounding in Workday data and human-in-the-loop design matters. Sana is built around HITL-based workflows, where output is reviewed by humans before action is taken.

Before vs. after

Workday only	Workday + Sana AI
Manual processes with high rework	Streamlined workflows with automated routing
HR teams answering repetitive tickets	NLP-powered triage and self-service
Static reporting after the fact	Predictive, actionable insights in real time
One system at a time	Cross-system orchestration end-to-end
AI scattered across point tools	One governed front door for every agent

The numbers from real Sana deployments speak for themselves: 95% weekly user retention, 99.3% customer satisfaction with queries, and 67% of users say they can't imagine working without Sana.

Practical Steps to Pilot Sana AI Workflows in Workday Environments

A safe, measurable rollout is the difference between AI that sticks and AI that sits unused. Here's a tactical playbook:

Pilot checklist:

Pick a high-frequency workflow. Onboarding, HR ticketing, or payroll exception handling are proven starting points with fast time-to-value.
Set clear KPIs upfront. Time-to-complete, error rate, case reassignments, and employee satisfaction are the standard four.
Enable human-in-the-loop checks for the first 30 days. Let agents propose; let humans approve. Build trust through visible accuracy.
Expand only after demonstrated efficiency gains. Use early KPI data to make the case for the next workflow, the next team, the next region.
Model integration and licensing costs carefully. Workday licensing typically runs in the $34–60 PEPM range with significant annual minimums, so plan total cost transparently from the start [6].
Establish "agent handbooks" and governance reviews. Workday's own guidance on onboarding AI agents emphasizes the need for clear role definitions, escalation paths, and ongoing governance [7].

For ambitious deployments, Sana offers a structured Lighthouse model. The lighthouse partnership is a joint Workday and Sana investment where we deploy, prove, and scale AI use cases that deliver measurable ROI across HR, Finance and IT—designed to prove measurable ROI and go live within 90 days.

Frequently Asked Questions

How does Sana's AI layer integrate with Workday without disrupting existing processes?

Sana's AI layer connects directly to Workday's APIs and runs on top of your existing data and processes—no rip-and-replace required. Sana runs inside Workday's existing security, permissions, and audit framework, so you always know which agent acted, on whose behalf, under which policy, and with what outcome. Daily operations continue uninterrupted; the AI layer simply removes friction.

Which HR workflows deliver the fastest ROI when enhanced by Sana AI?

Employee service ticketing, onboarding automation, and payroll exception management typically deliver the quickest ROI by reducing manual effort and accelerating approvals. These are also the workflows where employees feel the difference fastest, which drives adoption.

How can companies ensure user adoption and trust in AI-driven HR workflows?

Adoption improves when companies pilot workflows with clear guardrails, provide transparent audit logs, and start with a supervised rollout—building trust through early, measurable wins. Sana's combination of human-in-the-loop design, citations on every answer, and structured change management is purpose-built for this.

What are common challenges when deploying AI layers on Workday HCM?

The most common challenges are integration complexity across non-Workday systems, change management for HR teams adopting new ways of working, and careful budget modeling given Workday's variable pricing and multi-month implementation cycles [6]. A Lighthouse-style deployment—with executive sponsorship, defined KPIs, and a 90-day go-live target—mitigates each of these.

How does Sana's AI handle data security and compliance within Workday?

Sana's AI agents are built for enterprise-grade security, inheriting compliance from both systems. Sana Agents maintains compliance with SOC 2 Type II, GDPR, and ISO/IEC 27001:2022. Sana enforces a strict Zero-Data Retention policy and full prohibition of training models on customer data, and data at rest is encrypted with AES-256 and data in transit is encrypted with TLS 1.2+. Full audit trails are maintained across every HR workflow.