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DIGITAL WORKPLACE

Digital Twin for the Workplace

See, simulate, and act before employee experience breaks

From experience management to autonomous experience operations

Digital Twin for the Workplace is a living, AI-powered replica of how work is experienced across an ecosystem of employees, devices, apps, locations and services. Built in the customer environment, it helps organizations move beyond fragmented monitoring and reactive automation by modeling the connected workplace end to end, enabling them to predict impact, simulate change holistically and act safely before productivity and resilience are at risk.

Engineered to run on Microsoft Azure, it uses Microsoft Foundry to orchestrate its advanced AI capabilities. 

how kyndryl helps

Our Digital Twin for the Workplace capabilities

Foundation for autonomous experience operations

Advance to proactive experience operations by modeling the end-to-end experience, simulating interventions and safely orchestrating action. Enable AI agents to identify issues, recommend responses and validate outcomes to reduce manual intervention and support autonomous operations at scale. 

Simulation‑led, risk minimized decisions

Anticipate change through foresight and impact modeling. Simulate rollouts, refreshes and infrastructure changes before go-live to predict employee experience, productivity and cost-impact, enabling faster, safer decisions. 

Continuously evolving digital replica

Bring fragmented workplace data together into a single, experience-aware view by connecting people, devices, apps, services and locations. Gain real-time visibility into workplace health by office, region or environment, reduce blind spots and accelerate insight to power experience-led operations.

Designed for privacy and governance

Designed for privacy and AI trust. Embed data protection, explainability, governance and XLA-informed measurement to support adoption, track outcomes and scale agentic AI with confidence. Use aggregated patterns and simulated personas rather than individual employee tracking.

Why work with us?

Drive transformation with confidence
Improve outcomes, reduce disruption and lower the risk of outages by understanding hidden friction and downstream impact before change reaches the live environment.
Operationalize agentic transformation with trust
Create a secure, governed path to agentic AI by giving teams the context, guardrails and control needed to scale autonomously, safely across the digital workplace.
Reduce operational overhead
Lower the effort and cost of supporting the digital workplace at scale through more proactive experience operations.

Related content

Kyndryl launches AI-powered Digital Twin for the workplace

Kyndryl launches an AI-powered Digital Twin that mirrors workplace operations, spots hidden friction and helps IT teams prevent disruptions before employees are impacted. 

Read the press release

How digital twins and AI transform the digital workplace

How digital twins give leaders real-time visibility into workplace systems, predict failures, and shift IT teams from reactive fixes to proactive experience management. 

Read the article

Leading the Future of the Digital Workplace

Explore why Gartner recognises Kyndryl as a Leader in ODWS, highlighting its experience-focused vision, rapid consulting growth and advanced AI-led service delivery. 

Read the report

Your most common questions

A Digital Twin for the Workplace is an AI-powered digital model that shows how the workplace operates across employees, devices, applications, locations and services. Unlike point tools that monitor isolated signals, it helps organizations understand impact across the workplace ecosystem, test changes before go-live and act earlier to reduce disruption.

Many workplace experience tools monitor signals and trigger targeted remediation. Digital Twin for the Workplace goes further by creating a connected, end-to-end model of how work happens, helping organizations predict impact, simulate decisions across the ecosystem and act safely before productivity is lost.

As enterprises move toward AI-native and agentic operating models, fragmented tools and siloed visibility make AI harder to govern and scale. Organizations need a complete, contextual model so AI can reason and act safely in live environments.

Connect with us

Book a 30-minute, no-cost strategy session with a Digital Twin for the Workplace expert. 

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