Digital Workplace Services

The workplace is evolving from basic digital tools to smarter, human-centric experiences. As organizations advance through successive horizons of transformation, from productivity-focused digitalization to artificial intelligence (AI)-first, sentient enterprises, the focus is shifting toward harmonizing work, workforce, and workspace around the human experience. This evolution is powered by agentic systems, human-AI collaboration, and sustainable, connected environments that together define the future of work.

Evolution of digital workplace services across the three horizons (H1 to H3)

Market dynamics across the three horizons
Show all horizons

H3

AI-first workplace

Key patterns

Digital collaboration

  • Multiagent and attention-guided collaboration
  • AI-native workplace applications
  • AI-powered mixed reality experience

Device infra and life cycle management

  • Device circularity and sustainable DaaS
  • AI-powered endpoints (auto-heal, copilot)
  • 5G connected devices

Workplace security and user privacy

  • AI security posture management
  • AI-powered continuous threat exposure management
  • Nonhuman identities – governance and life cycle management

Employee experience platforms

  • Personal AI assistant and agentic AI workflows/orchestration
  • Multimodal interactions and responsible AI
  • Protocol standardization for seamless ecosystem experience

Unified communications and contact center

  • AI-enabled real-time multilingual speech translation
  • Agentic AI-powered conversation analytics
  • Hyperpersonalized contact centers using generative AI

Connected workspaces

  • Smart access with biometrics
  • Digital twins for asset management
  • AR/VR for asset maintenance

Service desk

  • AI-enabled intelligent ticket routing with high accuracy
  • Real-time language translation (voice) and accent neutralization
  • Intelligent virtual agents with autonomous resolutions

Digital learning

  • Generative AI for learner productivity
  • Generative AI-based tutors for adaptive learning styles/modalities
  • Adaptive learning with agentic AI

Digital employee experience management

  • Expansion of digital experience to operational technology
  • End-to-end observability and remediation service
  • Correlation of experience-related telemetry

H2

Hybrid workplace

Key Patterns

Digital collaboration

  • Visual collaboration
  • Digital knowledge management
  • Generative AI-powered virtual assistants and intelligent knowledge networks

Device infra and life cycle management

  • Persona-based device-as-a-service
  • Cloud/comanaged endpoints, auto patch and hot patch vDaaS, cloud PC/PC-as-a-service

Workplace security and user privacy

  • AI/ML-based XDR
  • Zero trust and cloud VPN (ZTNA and SASE)
  • Threat analytics, endpoint forensics

Employee experience platforms

  • Unified, hyperpersonalized employee experience
  • Conversational AI engines embedded into workflows
  • Mixed reality (AR, VR, XR) for immersive experiences

Unified communications and contact center

  • AI-augmented collaboration with meeting summaries and real-time transcription
  • Virtual immersive spaces
  • UCaaS + CPaaS integration

Connected workspaces

  • Integrated workplace management systems
  • Space booking solutions
  • Advanced video analytics for occupancy

Service desk

  • Generative AI-powered virtual agents with NLP
  • Conversational voice bots with refined transcription and translation
  • Automated ticket creation and intelligent routing
  • Language neutralization (chat)

Digital learning

  • AI-powered transcription and translation
  • Personalized learning powered by generative AI and predictive analysis
  • Learning analytics powered by AI/ML

Digital employee experience management

  • AR for remote support
  • Holistic digital experience dashboards
  • Experience management office

H1

Digital workplace

Key Patterns

Digital collaboration

  • Cloud collaboration suite
  • Social collaboration and chat-based interfaces
  • Document and information management

Device infra and life cycle management

  • Device life cycle management
  • Unified endpoint management
  • Cloud virtual desktops
  • Application packaging and distribution

Workplace security and user privacy

  • Endpoint protection platforms
  • VPN for remote access
  • Threat monitoring using logs and SIEM
  • SSO and ACL for user access management

Employee experience platforms

  • Intranet applications and UX-driven web portals
  • SSO and RBAC
  • Integrated systems (data flow)

Unified communications and contact center

  • Cloud VoIP services
  • IVR-based contact center solutions
  • Skill and queue-based routing
  • RPA-powered 360° customer view for agents

Connected workspaces

  • Building management (focus on occupancy and operational efficiencies)
  • Standalone solutions for access, physical security, and visitor management
  • Technology bars and service centers

Service desk

  • Unified agent desktop and ITSM SaaS platforms
  • Self-service portals and rule-based workflow automations
  • Automated interactive voice response

Digital learning

  • Digital platform for learning content management and delivery
  • Online or classroom-based training
  • Persona-based learning paths

Digital employee experience management

  • Employee survey tools
  • NPS-based experience reporting (periodic)

Key trends across digital workplace services subdomains

Digital collaboration

H1 — Cloud-powered collaboration

  • Evergreen cloud-powered collaboration platforms (O365, Google workspace, Zoho)
  • Video conferencing apps help remote stakeholders connect and feel part of the community
  • Team and asynchronous collaboration platforms combine messaging, meetings, and calling in one place for daily work (MS Teams, Slack, Webex, Google Chat, and Spaces)
  • Live event and external collaboration platforms with tracking and managing capabilities for hybrid audiences
  • Unified collaborative applications to complete tasks without switching contexts

H2 — AI-powered collaboration

  • Generative AI-powered digital assistants enhance user interaction by offering empathetic, personalized responses to boost productivity
  • A cocreation experience that unites teams, content, and tasks, enabling real-time collaboration to achieve individual, team, and business goals (Microsoft Loop, Planner, and Whiteboard)
  • Digital knowledge management is shifting from search to findability through automated categorization, better search, and efficient tag management (M365 Copilot, SharePoint Premium, and Azure Search)
  • Visual collaboration platforms with canvas features
  • Intelligent knowledge networks use generative orchestration, knowledge graphs, and connectors to turn data into knowledge (Copilot extended with graph-based integrations for CRM, ITSM, data lakes, and external sources)

H3 — AI-first collaboration

  • Multiagent collaboration enables agent-to-agent and agent-human coordination to automate enterprise tasks and speed decision-making (Microsoft Copilot Studio, Azure AI Foundry, and Google AgentSpace)
  • Task-centric work hubs integrate productivity apps and agents, powered by agentic AI (Microsoft Copilot Studio or Google AgentSpace)
  • Collaborative tools incorporated with guided attention capabilities (Miro AI Sidekicks, Notion AI, Teams Copilot)
  • AI native workplace applications providing hyperpersonalized and adaptive experience
  • AI-powered MR experiences use generative image editing and 3D and video models to enable immersive, shared content creation (Nano Banana, RODIN, SORA, and Luma AI)
Multiagent collaboration reshapes human-AI synergy

Multiagent collaboration focuses on the enterprise application of distributed AI agents working alongside humans to automate complex processes and accelerate decision-making. By distributing intelligence across specialized agents, organizations can enable dynamic workflows, real-time adaptability, and advanced problem-solving that go beyond traditional single-agent approaches.

View more
Task-centric hubs drive smarter, integrated work experiences

Task-centric work hubs bring together collaboration tools, workflow automation, and intelligent agents within a single digital environment. Rather than switching between disconnected applications, employees can access tasks, approvals, and knowledge in context, improving decision-making speed and execution quality across hybrid workplaces.

View more
Device infra and life cycle management

H1 — End-user computing

  • Corporate-owned Windows-based desktops, laptops, and thin clients
  • Endpoints with limited access for remote work and BYOD
  • On-premises manual device provisioning and custom images
  • Patch management designed for corporate LAN and decentralized WSUS
  • Application provisioning through packaged and manual installation or distribution
  • Virtualization (VDI), with on-premises client-owned published applications and desktops
  • Remote support (GoTo, BeyondTrust)
  • Coexistence of cloud policies and AD GPO for policy management
  • Cloud print: Follow-me print solution

H2 — Cloud-managed endpoints

  • Devices and DaaS: Multitouch devices, multi-OS support, purpose-built peripherals, and hyperpersonalized device assignment through DaaS.
  • Flexible device models: BYOD and refurbished laptops for sustainability, with smart lockers and peripheral vending machines.
  • Cloud device provisioning: Windows Autopilot, co-managed workloads, and standardized OS images.
  • Patching and compliance: Autopatch, hot patching, and compliance management using Intune Copilot.
  • Cloud patching: Cloud-based OS updates and limited third-party application patching.
  • Endpoint management: Cloud-native UEM, declarative management, and user-driven self-provisioning.
  • Virtual desktops: Cloud virtual desktops, Cloud PC, and cloud boot for direct login (Windows 365, Citrix Flex, JioPC).
  • Digital experience management: Proactive monitoring and automation tools.
  • Application delivery: Cloud app stores for self-service provisioning.
  • Remote support: AR-based remote assistance.

H3 — AI-powered endpoints

  • AI-powered edge computing (Apple, Intel, Nvidia, AMD) and sustainable hardware (device circularity) (Apple, HP, Dell, Lenovo).
  • 5G connected devices.
  • Expansion of virtual service bar to include a virtual IT shop.
  • AI-powered endpoint analytics for auto-heal.
  • AIOps observability and remediation services.
Sustainable hardware strategies emerge as a priority

Sustainability is becoming a cornerstone of device life cycle management strategies. Organizations are increasingly prioritizing hardware that supports circularity, meaning devices are designed for reuse, refurbishment, and recycling. Leading hardware providers like Apple, HP, Dell, and Lenovo are embedding sustainability into their product lines by offering modular designs, energy-efficient components, and extended device lifespans.

View more
AI-driven self-healing and anomaly management transform IT operations

The integration of AI into endpoint management is upgrading traditional reactive support into proactive and predictive operations. AI-powered tools now enable real-time anomaly detection, identifying potential issues before they impact end-user productivity.

View more
Workplace security and user privacy

H1 — Secure workplace with policy-driven controls

  • Endpoint security: Endpoint protection platforms with antivirus and antimalware for endpoints and servers, host-based IPS, and file integrity monitoring (McAfee, Trend Micro, Symantec)
  • Network security: Secure web gateways with IPS/IDS, malware detection, and URL and content filtering via proxy (Cisco, Check Point, Blue Coat, Websense, Microsoft ISA)
  • Data security and privacy: On-premises DLP for endpoints and networks, device encryption, USB control, certificate management and PKI, and data tokenization (Symantec, McAfee, Forcepoint)
  • Threat monitoring and response: Log aggregation for critical infrastructure and device security monitoring through SIEM platforms (HPE ArcSight)
  • User access management: Standards-based single sign-on using SAML, OAuth, and OIDC (Oracle, CA, IBM)

H2 — Zero trust-enabled hybrid workplace

  • Endpoint security: EPP and EDR with secure configuration, vulnerability management, ATP, AI/ML-based detection, and XDR-driven threat intelligence sharing (CrowdStrike, Microsoft, Symantec, Tripwire)
  • Network security: Zero trust access, network detection and response, SaaS security posture management, microsegmentation, and secure enterprise browsers (Google, Palo Alto, Akamai)
  • Data security and privacy: Data classification, encryption, DLP, DSPM, information rights management, data resiliency, and privacy and consent management (Titus, Seclore, Microsoft, Netskope, Symantec)
  • Threat monitoring and response: DNS security, sandboxing, UEBA, malware analysis, endpoint forensics, MDR, and unified SecOps with next-generation SIEM (Microsoft, IBM, Splunk)
  • User access management: IDaaS, MFA, adaptive authentication, privileged access management, and zero standing privileges (SailPoint, Saviynt, Oracle, Microsoft, BeyondTrust)
  • Cloud VPN and zero trust: Secure cloud connectivity using cloud VPNs and zero trust identity and device verification (Zscaler, Palo Alto)

H3 — Elevated security with composite AI

  • Data security and privacy: AI security posture management for shadow AI discovery, AI-aware DLP to reduce attack surfaces, and data protection across environments (Microsoft Purview, Cyera, Rubrik, Forcepoint, Palo Alto)
  • Threat monitoring and response: AI-powered continuous threat exposure management, breach and attack simulation, incident response automation, and AI-driven threat and intrusion detection (Zscaler, Rapid7, Horizon3, Simbian, Skydda, Palo Alto, AiStrike, Microsoft)
  • User access management: AI-driven identity verification against social engineering, phishing, and deepfake attacks; governance of nonhuman identities; zero-trust, agentic AI identity with JIT and least-privilege access; and decentralized identity with verifiable credentials (Britive, Entro, Oasis, Axiomatics, 1Kosmos)
Secure enterprise browsers redefine endpoint protection

Browser security has progressed from static, rule-based methods to proactive, intelligent protection. Traditional browser controls relied on whitelisting and blacklisting, which offered limited defense against modern web threats. Browser isolation introduced a stronger model by executing web content in remote containers, preventing malware and phishing from reaching user endpoints. However, it often affected performance and integration.

View more
AI-driven incident and response management strengthens cyber resilience

Incident response has evolved from manual processes to automated, intelligence-driven systems. In earlier models, security teams relied on alerts from firewalls and antivirus tools, managing incidents through basic workflows that slowed detection and limited visibility. The adoption of security information and event management (SIEM) and security orchestration, automation, and response (SOAR) platforms improved automation and collaboration, yet the growing complexity of cyberattacks now demands faster, more predictive responses.

View more
Employee experience platforms

H1 — Point and packaged employee experience solutions

  • Hybrid infrastructure setup for employee experience solutions
  • Business-to-employee (B2E) siloed experience through packaged enterprise products experience and desktop and intranet-driven applications
  • Point workplace solutions — adoption of point solutions for key use cases like field force mobility (e.g., Kony/VoltMX, Outsystems, Modo, Power Apps)
  • Gig Marketplace platforms to address gig worker needs

H2 — Digital, unified, and sentient experience

  • Human-centric experience: Hyperpersonalized experience with employee-centric design
  • Unified experience and hyperautomation/AIOps enabling process busting and employee efficiency (e.g., Infosys Orbit EX Platform provides a digital front door to Infosys and client workforce for approximately 1 million users)
  • Cloud-first, security and privacy by design approach
  • Applications and platforms era: Adoption of business platforms for employee interactions use cases (e.g., Microsoft Viva, Workday, SuccessFactors, SaaS HRM products, ServiceNow)
  • Gig Marketplace platform use cases expand to address increasing gig worker needs like federated access, etc.
  • Conversational AI: Intuitive and engaging conversational AI engines to embed AI into ways of working
  • MR experience: AR, VR, and XR for an immersive, interactive, and shared digital world experience (e.g., visualizations using digital twin for training on platforms like Apple Vision Pro)
  • Service-oriented, enterprise-centric experience evolving around services being provided to employees (e.g., democratizing the API economy for Enterprise HR, Finance, Procurement et al systems from OEMs like SAP, Oracle etc. for headless employee experience design
  • Wellbeing and sustainability: Social and environmental conscience at work

H3 — AI-first employee experience

  • Multi AI to enable orchestration between AI agents to provide seamless fulfilment of actions and service responses for Employee Self Serve
  • Multimodal channels for employee experience, like chat, gestures, speech, videos over conventional prompts
  • Pervasive channels: Taking employee experience to a channel agnostic paradigm where information and actions are presented to workforce where they are (for example, seamless conversational and portal experiences, guided indoor navigation without intrusive technologies)
  • Digital twin for the frontline: Agentic AI and NLP-enabled digital assistant (e.g., Infosys has rolled out the AI Navigator, NAVI, for its AI-First employee experience, Ask Store for Retail Store Associate job aids)
  • Protocol standardization for ecosystem-driven seamless experience across the partner ecosystem and consumption of products/services with potential to standardize into protocols like fide.org (e.g., presence enabled unified background checks, carbon footprint offsetting, DigiLocker)
Unified poly-AI bots elevate employee support

Enterprises are looking to create AI-first experiences that place employees at the center, responding to their questions and supporting them with their tasks. Intelligent knowledge networks turn structured and unstructured data into findable, actionable knowledge that adapts to user needs. As workplaces advance toward H3, tools will evolve from basic collaboration between humans and siloed AI bots to unified digital avatars and AI assistants that enhance human potential across core enterprise functions.

View more
Mixed reality delivers immersive workplace experiences

While AI-driven interfaces unify digital interactions, immersive technologies like mixed reality (MR) are reshaping physical engagement. MR is transforming how employees and visitors interact with modern workplaces by blending physical and digital environments into a smooth experience. For employees, MR enables immersive collaboration beyond traditional screens. Virtual meeting spaces allow teams across geographies to interact, as if they were in the same room, fostering creativity and reducing communication barriers.

View more
Unified communications and contact center as a service

H1 — Standalone solutions

UC

  • Cloud-hosted voice, video, and messaging
  • Virtual Backgrounds: Enabled via video processing to mask or replace real backgrounds
  • Noise cancellation in soft clients: Digital signal processing-based filters to reduce ambient noise.
  • Basic integration with productivity suites (e.g., Outlook, Google Calendar)
  • Basic analytics and reporting with call logs, meeting attendance, and usage metrics without predictive insights
  • Collaboration-enabled devices for frontline workers

CC

  • Siloed multichannel experience for customers
  • IVR menu-driven and directed speech for self service
  • Skill-based routing to the agents
  • RPA-enabled 360-degree customer view for agent empowerment

H2 — Collaborative workplace

UC

  • AI augmented collaboration like meeting summaries, real-time transcription, speaker identification using text-to-speech, NLP, and automatic speech recognition
  • Virtual immersive spaces and cinematic meetings with AI algorithms (Webex)
  • UCaaS + CPaaS Integration: Embedding communication capabilities (voice, video, messaging) into business applications via APIs

CC

  • Virtual agents, self-service, and transactional bots with intent prediction and proactive notifications
  • Real-time agent assist, smart nudges, and contextual routing for a hyperproductive environment using transcriptions and generative AI
  • AI-enabled agent burnout detection and simulated learning
  • Post call summarization of customer-agent interaction using generative AI
  • Hyperpersonalized contact centers: AI remembers past interactions, predicts customer needs, and tailors responses dynamically (Amazon, Nice, Genesys, Observe.ai)
  • Language neutralization: Speech translations to optimize agent utilization (Twilio, Cortex)
  • Enhanced customer experience through augmented reality integration (GoTo Rescue Live Lens, CareAR)

H3 — AI-led hyperpersonalized, secure, and immersive collaboration

UC

  • AI-powered real-time call quality monitoring and automated diagnostics with self-healing capabilities (IUCS)
  • Leverage AI to identify meeting intent in real-time conversations and schedule follow up meeting by checking calendar availability (Zoom)
  • AI-enabled real-time multilingual speech to speech translation for inclusive global collaboration in live events (MS Teams,  Interprefy, Wordly, KUDO)

CC

  • Agentic AI-powered conversation analytics (Genesys, Amazon, Nice) deliver rich insights from enterprise conversations, including intent, sentiment, action items, enabling smarter decisions
  • Voice AI (for automated human like conversations) (observe.ai, talkdesk, yellow.ai) for an enhanced user experience with agentic AI workflow automation
  • AI/generative AI routing engines: Externalize Intelligent routing using agentic AI by leveraging insights from additional data sources like CRM, ticketing tools, and other enterprise applications
  • RCS as a preferred channel for branded, interactive customer engagement
AI-enabled call monitoring and self-healing redefine communication reliability

UC is entering an AI-driven era with real-time call quality monitoring and self-healing capabilities. UC systems can autonomously detect issues such as latency and packet loss, trigger diagnostics, and optimize configurations or network paths to maintain call quality. This shift from reactive maintenance to proactive service assurance reduces downtime, enhances user experience, and transforms UC operations.

View more
Voice AI and agentic automation enhance user experience

Voice AI is transforming enterprise operations — from customer service to internal communications through agentic, human-like conversations and hyperpersonalized self-service that lowers contact center costs. Evolving from reactive support to proactive experience hubs, voice AI powered by generative AI enables intelligent interactions. As AI agents handle routine tasks, human agents focus on complex, empathy-driven engagements, redefining customer experience and positioning contact centers as strategic growth drivers.

View more
Connected workspaces

H1 – Standalone solutions

  • Computerized maintenance management systems for facilities management
  • Outlook-based collaboration
  • Centralized helpdesk for service tickets, triaging, and allocation
  • Standalone solutions for cafeteria, visitor management, lockers, and information kiosks
  • Standalone solutions for access and physical security with multiple manual interventions

H2 – Integrated workspaces

  • Integrated workplace management solutions for facilities and space planning: Tririga, Nuvolo, Planon
  • Space booking solutions for hybrid workforce: SpaceIQ, Capterra
  • Video analytics for crowd management, foot traffic monitoring, and occupancy patterns: Irisys, Vision Analytics
  • Focus on overall indoor environmental quality settings, including air quality and lighting, instead of only managing comfort settings (temperature, humidity) for ambient environments: Wellstat
  • Command center setup for monitoring and controlling building assets and meters
  • Condition monitoring and predictive analytics for building asset health and maintaining operating conditions
  • Occupancy and maintenance history analytics for space remodeling and refurbishment project estimation: Rigado, VergeSense

H3 – Smart and sustainable workspaces

  • Prescriptive analytics for asset life cycle maintenance based on occupancy patterns and asset usage data
  • Decarbonization approach to reduce energy consumption and align demand with renewable energy sources
  • Seamless smart access to facilities using advanced biometrics for employees and visitors: Idemia, Matrix
  • Operations management and scenario planning using building/asset digital twins: Willow, Dassault, Azure ADT
  • Use of AR/VR devices for asset repair and maintenance: Realwear
  • Integrated kiosks or voice-based bots for contextual assistance and information: BLE Beacons
  • Contextual wayfinding and navigation with AR/VR overlays: Google, Mapbox
  • Fully integrated services like food & beverage, health and rejuvenation, visitor management, and transport planning, accessed through end-user interfaces
  • Knowledge assistant on the wheels: Rover-based virtual assistant that interacts with employees across the campus to solve their queries
Conventional office designs undergo modernization

To facilitate collaboration among teams, offices should be designed with agile spaces that encourage formal, informal, and remote interactions. Design elements like studios and café-style seating enhance creativity and teamwork. Organizations can leverage data analytics and real-time sensor technology to maximize space utilization, optimize building operations, manage energy usage efficiently, and enhance the overall office experience for employees.

View more
Smart technologies emerge for sustainable operations

Today’s businesses leverage smart technologies like energy utilization dashboards, smart lighting, and real-time monitoring to pursue carbon neutrality. They integrate these tools for energy forecasting and operational optimization. Internet of things (IoT)-connected building assets provide ongoing health updates, while technicians equipped with augmented reality (AR) and virtual reality (VR) tools swiftly diagnose and resolve issues.

View more
Service desk and experience

H1 — Human-centric service desk

  • IVR with touch-tone option selection for automatic call routing
  • Ticketing system with rules-based workflow automations (BMC Remedy, BMC Helix)
  • Self-service portals: FAQ based
  • Virtual agent: Basic rule-based resolutions
  • Agent assist: Primarily manual knowledge base search based on keywords

H2 — User-centric service desk

  • Generative AI-powered virtual agent with NLP capability and KB-based resolution along with conversational intelligence capability to transfer to Live Agents (Servicenow Pro+/Enterprise with NowAssist)
  • Conversational Voicebot (Genesys Voicebot AI Studio) with more refined transcription and translation
  • Automated ticket creation, triaging and intelligent routing to the right queue in L2/L3 through Chatbot/Voicebot
  • Dynamic language neutralization for chat/tickets (Servicenow Dynamic Translation)
  • AI-enabled intelligent ticket routing, with high accuracy, reducing delays
  • Unified 360-degree desktop view for agents with all the information of user in one screen (Assist Edge Engage/Infosys Cortex Empower suite/ Servicenow Agent Workspace)
  • Intelligent nudges: Qualitative, informational nudges to empower the agents in real time
  • Agent gets summarized articles and automated call notes generated using GenAI features (Genesys Copilot)
  • Automated Knowledge Article creation/updation based on recent resolutions (Servicenow NowAssist)

H3 — AI-first service desk

  • Intelligent virtual agents powered by agentic AI for autonomous resolutions through chat and voice channels (NowAssist, SNOW AI-Agent Studio, Genesys AI studio)
  • Realtime language translation of voice conversations integrating with the telephony platform (Azure/Claude/OpenAI based translation)
  • Real time Accent Neutralization (Sanas.AI – For English accents of India and Manila agents)
Real-time multilingual AI reshapes service desk support

In today’s globalized and hybrid work environment, service desks are increasingly supporting users across geographies, cultures, and languages. To meet this demand, organizations are leveraging real-time language translation technologies to enhance service desk efficiency, inclusivity, and user satisfaction. AI bots can now converse in multiple languages using NLP and machine translation, automatically detecting the user’s language and responding accordingly.

View more
Agentic voice AI modernizes customer engagement

As enterprises face the limitations of traditional IVRs and flow-based conversational platforms, agentic voice AI is redefining voice interactions with smooth, autonomous, and human-like conversations at scale. These agents leverage advanced LLMs to manage real-time decision-making, proactively address user needs, and handle complex, multistep interactions.

View more
Digital learning

H1 — Digital learning

  • Persona-based learning paths: Curate personalized learning journeys to achieve targeted skill mastery
  • Gamified learning with microservices architecture: Motivate learners with points, badges, and leaderboards
  • Hands-on learning with technology playgrounds: Infosys Wingspan leverages cloud containers and open-source tools for practical hands-on skill development
  • Secure credentials with blockchain: Protect learner achievements and streamline credential verification
  • Interactive learning for collaboration: Foster peer-to-peer and instructor-led interactions in smart classrooms
  • Simulation environments with virtualization: Share best practices and simulate real-world scenarios in a safe environment

H2 – Hybrid learning

  • AI-powered transcribing and translation of learning material into different languages
  • Personalized learning powered by generative AI and predictive analysis: Tailored learning experiences based on individual engagement, activity, performance, and progress
  • Generative AI for semantic search: Leverage semantic search to discover relevant content and improve knowledge delivery
  • Learning analytics powered by AI/ML: Access reports, dashboards, and analysis to understand course completion, consumption, and identify areas for improvement. AI analyzes learner engagement, activity, and assessments to optimize teaching strategies

H3 – AI-first approach to learning

  • Generative AI for learner productivity: Real-time content translation, note-taking, and summarization by a generative AI tutor
  • Agentic AI for adaptive learning: Adaptive learning at scale leveraging RAG, LLM knowledge, and external agents for unique learner journeys
  • Generative AI for realistic and immersive simulations: Realistic skill development simulations, powered by generative AI with animation and expert input
  • Generative AI for customized learning modalities: A generative AI tutor offers Socratic, adaptive, storytelling, active recall, or explanatory learning approaches to help with learner style
Agentic AI enables adaptive, scalable learning experiences

Agentic AI is redefining enterprise learning by enabling personalized, scalable, and adaptive learning through technologies such as retrieval-augmented generation (RAG), LLMs, and intelligent learning agents. Unlike static content, these systems respond dynamically to each learner’s performance, preferences, and goals. Real-time data analytics and cloud-native platforms further enhance learning outcomes by delivering contextually relevant, interactive experiences.

View more
Generative AI creates immersive, simulation-based learning

Generative AI is transforming experiential learning by creating realistic, scenario-based simulations that allow learners to practice skills in safe, interactive environments. These simulations replicate complex, real-world conditions — helping learners make decisions, experiment, and improve retention. The integration of AI with animation, domain expertise, and contextual data is enabling scalable, high-fidelity simulation experiences across industries.

View more
Generative AI personalizes learning pathways

Generative AI is revolutionizing learning content delivery by tailoring modalities to individual cognitive styles, preferences, and goals. Moving beyond static e-learning modules, it enables dynamic experiences through conversational dialogues, storytelling, active recall, and real-time summarization. AI tutors adapt content based on performance and feedback, enhancing motivation and retention.

View more
Digital employee experience management

H1 – Employee surveys and self-service

  • Employee survey tools
  • Self-service portals

H2 — DEX tools and automation

  • Proactive monitoring and remediation-based digital experience tools (SysTrack, Nexthink, Aternity, 1E Tachyon endpoint analytics, Nanoheal, ZDX)
  • Augmented reality solutions for faster remote-assist support (GoTo Resuce Live Lens, CareAR)
  • Holistic digital experience dashboard to monitor and actionize employee experience-related impacts
  • Business-centered experience management, taking a holistic and broader employee 360-degree view (convergence of HR IT and workplace IT on experience management).
  • XMO to drive seamless experience across the workplace

H3 — Integrated experience management

  • DEX expanding to OT with wearables and IoT devices
  • End-to-end observability (correlation, LLM/SLM) and remediation service across the workplace
  • Correlation of experience-related telemetry from end-user computing devices, applications, network, and security, for Digital experience analytics (Microsoft Intune Suite, DWX)
Data-driven insights enhance employee experience management

The DEX strategy began with measuring device experiences and gradually expanded to cover digital employee experiences across devices, applications, networks, and other services. With foundational DEX programs in place, organizations are now asking: “How do we make sense of the wealth of data collected? What actionable insights can we derive?” AI assistants and workplace agents are playing a pivotal role in this shift, enabling organizations to drive decisions, orchestrate workflows, and enhance employee experiences.

View more
Integrated experience management and change management unify workplace strategy

Experience management offices (XMOs) are increasingly central to shaping workplace experiences. By owning, managing, and aligning workplace experience initiatives, XMOs identify pain points, prescribe improvement actions, and track outcomes. Realizing the value of these initiatives requires a structured change and adoption strategy that works hand in hand with the XMO.

View more

What's New

Latest White Papers, Tech Blogs and View Points

Ask Experts

Chidambaram Ganapathi

Assistant vice president and unit technology officer

Vivin George

Assistant vice president and senior principal technology

Moses Stanislaus Swamikannu

Principal technology architect

Jichin Thomas

Industry principal

Vijay Yadlapalli

Senior Principal Technology Architect

Anirban Chakraborty

Senior lead analyst