"Webinar: How AI Agents Transform HR with Workday and UKG"

AI Agents Are Everywhere, But Does HR Really Need Them? Agents are designed to remember, decide, and act across multiple tools which sounds powerful. But in HR, the real question is: how do you actually save time, reduce tickets, and improve employee experience without overcomplicating things? Here's the reality: Building a full agent is complex, time-consuming, and rarely the first step HR should take. In most cases, a simple automation delivers ~80% of the value what I call a good enough solution at a fraction of the complexity. So where should HR teams actually start? Step one: simplify your process before adding AI. 1️⃣ Map your process and cut the noise. Remove unnecessary steps before adding technology. 2️⃣ Automate the basics. Simple system automations using tools like Workato, Zapier, or built-in HRIS functions often solve most pain points. We're currently exploring Workato and Zapier ourselves, if you have tips or experiences, I'd love to chat. 3️⃣ Add AI workflows if needed. For example, we fully enrolled the Virtual Service Assistant from Atlassian to answer general questions using our documentation. It can't answer personal employee questions since it doesn't have access to our HR systems. Easy to set up, quick wins for basic inquiries. 4️⃣ If the previous steps aren't sufficient, you can explore agents. But be aware, they require knowledge, careful planning, and workforce support to roll out. True plug-and-play agents don't really exist yet (in my opinion); most solutions marketed as agents are really just AI workflows combined with automations. Use them only if you have a clear, long-term use case that justifies the extra effort. 💡Good enough is often all you need. In HR, simplifying and automating first delivers the fastest wins. #HR #Automation #HRTech #FutureOfWork #Productivity #AI

PwC reports that nearly 60% of companies are already using AI in at least one business function. At HCM, we use AI behind the scenes to optimize staffing outcomes. ✓ Faster candidate matching ✓ Streamlined workforce planning ✓ Higher-quality delivery with speed and accuracy AI isn’t replacing people. It’s enabling better results. Do you believe AI is making workforce solutions more effective? #HCM #Staffing #AI #Business #Outcomes

AI-first is becoming reality in HR. IBM now handles 94 percent of employee issues with AI agents. That outcome is achievable, but most teams hit the same hidden hurdles long before they see wins. Here are the ones we see most often, and how to move through them: 1) Automating a messy process If the workflow is unclear for humans, it will be unclear for an agent. Strip steps, remove exceptions, define a single source of truth. Never automate a bad process. 2) Starting in the wrong place Begin with high-volume, repeatable transactions or key moments. Think policy Q&A, PTO, onboarding tasks, access requests. Avoid edge cases until your foundation is stable. Start small, scale smart. 3) Knowledge scattered everywhere Policies live in PDFs, intranets, and inboxes. Consolidate, set authoritative sources, version them, and scope what the agent can access. If the content is inconsistent, your answers will be too. 4) Change and trust HRBPs and employees need to know when the agent answers and when a human steps in. Pilot with one function, set clear guardrails, publish deflection and time-to-resolution, and review escalations weekly. 5) Measuring success too late Define success before you build. Deflection rate, time-to-resolution, CSAT, and escalation quality. If you cannot measure it on day one, you will not improve it on day thirty. At Codedevza AI, we default to one simple rule before any rollout: if the workflow cannot be sketched on a napkin, it is not ready for automation. Get that right and the rest moves faster than you expect. You do not need a moonshot. You need one high-volume question answered reliably. Then scale. #HRTech #AIinHR #PeopleOps #Automation #DigitalTransformation

🤖 AI is no longer a “future” trend in workforce management — it’s here, and it’s reshaping HR, payroll, hiring, and employee engagement today. The data is clear: 95% of CEO's see AI and workforce development as critical for growth Companies slow to adopt AI are 30–40% more likely to see productivity declines within 3 years. AI-driven hiring tools help organizations cut time-to-hire by an average of 27 days. Predictive analytics spot at-risk employees 5–6x more accurately, reducing costly voluntary turnover (which makes up 60–70% of total turnover). High-engagement teams, fueled by AI-powered insights, are 21% more profitable. At ADP, we’re leading this shift with the most comprehensive built-in AI assist in the HCM industry. Through tools like ADP DataCloud and AI Assist, businesses gain real-time benchmarks, anomaly detection in payroll, and predictive models that help leaders anticipate workforce trends before they become risks. ✅ Less time on manual tasks ✅ More accurate, data-driven decisions ✅ Stronger culture, engagement, and retention Workforce strategy is no longer about managing costs — it’s about driving growth. AI makes that possible. 👉 If you’re exploring how to future-proof your people strategy, let’s connect. I’d love to share how ADP is turning your people strategy into a profit center. #HRInnovation #FutureOfWork #AI #EmployeeEngagement #ADP

The Future of Workday AI is Here! Imagine a workplace where AI doesn’t just assist but transforms how we work — from automating routine tasks to providing intelligent insights that empower smarter decisions. At the forefront of innovation, Workday AI is evolving rapidly to create seamless experiences for HR, finance, and operations teams worldwide. Predictive analytics to anticipate workforce trends Intelligent automation for faster processes Personalized employee experiences driven by data Enhanced decision-making with real-time insights The future of work is not just digital — it’s intelligent, adaptive, and human-centric. Are you ready to embrace the next generation of AI-powered work? Read more: https://zurl.co/v3x7y #FutureOfWork #WorkdayAI #ArtificialIntelligence #HR #DigitalTransformation #ssquaresystems

Never automate a bad process. AI-first is becoming reality. IBM says 94% of employee issues are handled by agents without human intervention. That result only happens when you simplify first, then automate. Want speed? Remove friction before you add bots. How we approach it at Codedevza AI: - Find the right targets. Pick the top 3 high-volume transactions or critical moments in the employee journey. Think onboarding, leave requests, payroll queries, benefits changes. - Standardise the path. One intake channel, clear ownership, no email attachments, no duplicate approvals. Write the decision rules down. Make the data source explicit. - Measure before you automate. Baseline volume, handle time, first contact resolution, and exception rate. If you do not instrument, you are guessing. - Then automate. Use a triage agent to deflect FAQs and route edge cases. Use a workflow tool for the handoffs. Keep humans in the loop for policy exceptions. For smaller teams without big budgets: - Start small, scale smart. Ship one flow in two weeks, measure, iterate. - Use what you already have. Most HRIS suites and service desks now include decent AI and no-code workflow. - A simple rule of thumb. If a task hits 20+ repetitive tickets a week and the path is consistent, automate it. If it is messy, fix it first. Will automation replace HR? No. It removes the repetitive admin and moves HR closer to the work that actually matters: hard conversations, nuanced exceptions, culture, and policy design. The best HR teams will be process designers, not button clickers. If your process is unclear, AI will only make the confusion happen faster. #HRTech #AIinHR #Automation #ProcessDesign #FutureOfWork

From the floor of #HRTech2025 last month, Darwinbox’s Ashok Patsamatla joined me. You get three guesses as to what we discussed. That's right: the rise of #agenticAI. Our focus wasn't without an intriguing twist, however. How do you unify #AIagents across multiple applications in a deep and broad #SaaS deployment? How do you marshal multiple #workplace systems into producing a seamless, singular #employeeexperience? For all the understandable talk in #HR of defending and optimizing the #EE, that experience of the #workforce occurs wherever they are over the course of an entire workday. How much of that time do they spend in the #ESS? Hmm? This is where the new Darwinbox AI Super Agent comes in. It integrates HR, #CRM, and #projectmanagement tools to create a single pane of interaction. From simplicity and cohesion come greater productivity and retention. For our conversation, Ashok and I managed to squeeze in plenty of tangents, too: the future of #AIgovernance, #datasecurity, and how intelligent design can cultivate a happier, higher-performing #workplaceculture. https://lnkd.in/eQWABsfc

🦉HR Tech Needs a Rethink. (It's not HR systems or AI. It's both - working together.)   I see the same tension in almost every organisation right now. Half the conversation is about getting a new HR system. The other half is about how AI will transform everything.   And somewhere in the middle, the purpose gets lost.   A great core HR system gives you stability - clean data, consistent processes, and a single version of the truth. A great AI layer gives you acceleration - insight, automation, and smarter decisions.   You need both. But not in equal measure, and not all at once.   Too often, organisations buy the "big" system, then customise it until it stops working. Or they jump straight into AI before fixing the basics - and end up automating bad data.   The most effective setups are designed as a blend: -  A core HRIS that's simple, reliable and scalable. -  A layer of AI tools that enhance what people and systems already do well. -  A clear view of what each is for - and how they work together.   The power isn't in the platform or the plug-in. It's in the architecture, how you connect, govern and grow both sides in sync.   So before you choose your next system or AI investment, ask: What's the blend that truly fits the size, strategy and rhythm of your organisation?   That's where the real transformation starts - quietly, intelligently, and by design.   #WildOwlThinking #HRTechnology #AIinHR #PeopleStrategy #DigitalTransformation #FutureOfWork #Leadership #OrganisationEffectiveness

🦉HR tech isn’t about choosing between systems and AI. It’s about designing the right blend between them.   We see too many organisations pulled to one extreme or the other, either investing heavily in a new HR system without defining what it’s there to solve, or chasing AI tools before the basics are in place.   The truth is, they work best together. •   The core HR system gives structure, reliability and a single source of truth. •   The AI layer brings insight, automation and speed.   When you get the relationship right, HR technology stops being a cost and starts becoming capability.   The goal isn’t to have the biggest system or the latest AI feature, it’s to build technology that genuinely fits your organisation’s size, strategy and rhythm.   Because transformation doesn’t come from the tools themselves, it comes from how clearly you connect them.   Read our latest post for more on how to build the right balance between HR systems and AI. #WildOwlThinking #HRTechnology #AIinHR #PeopleStrategy #DigitalTransformation #FutureOfWork #Leadership #OrganisationEffectiveness

Agentic AI in Human Resources Function. Workforce ecosystem is evolving faster than ever. According to Salesforce’s 2025 HR Leaders Report, 85% of CHROs predict humans and AI agents will co-work to deliver HR outcomes within five years, yet 88% admit their organizations aren’t fully prepared for this transition. A Gartner 2025 survey found 82% of HR functions plan to deploy Agentic AI within 12 months, with 50% of HR activities projected to be AI-automated by 2030. Research from leading Indian IT firms shows AI improves HR operational efficiency by 28–35%, cuts time-to-hire by 24%, and boosts engagement by over 60% through personalized employee journeys. The GCC region ranks second globally in AI workplace adoption, with 87% of professionals using AI tools weekly Agentic AI is revolutionizing HR by shifting AI systems from passive data processors to active decision-makers, enabling HR leaders to enhance strategic initiatives, workforce agility, and change management. This technology is critical for CHROs who want to stay ahead in the fast-changing workplace landscape by embedding autonomy into HR workflows, fostering intelligent workforces, and unlocking new value drivers. At PlugScale, our Agentic AI frameworks have already enabled over a dozen GCCs to accelerate efficiency, effectiveness, and employee experience—achieving up to 40% reduction in manual HR processing and 75% faster hiring cycles. We partner with future-ready GCCs to build tailored roadmaps for intelligent transformation across recruitment, learning & development, performance management, and employee engagement. This journey goes beyond digitization — it builds adaptive, highly responsive workforces ready for the demands of the next decade. We’ve been at the forefront of reimagining the Human Resources Function through Agentic AI — a transformative shift from automation to autonomy that is reshaping global talent ecosystems today thanks to our recent work and Patent/Copyright in the use of Agentic AI in Human Resources Function. Praneeth Patlola Vishwanadh Raju #AgenticAI #HRTransformation #FutureOfWork #AIinHR #PlugScale #DigitalHR #GCCTransformation #HRAnalytics #TalentIntelligence #Automation #HumanResources #EmployeeExperience #AIAdoption #GCCIndia