Leaders can see uptime. Leaders cannot see execution. Hailee uses Human Digital Twins to make digital work explainable by modeling how workgroups actually experience their tools, workflows, and policies.
Model execution with workgroup digital twins. A workgroup digital twin is a type of Human Digital Twin that represents how a specific team actually performs digital work across tools, workflows, policies, and handoffs.
Expose friction invisible to system metrics. Workgroup digital twins reveal where effort spikes, delays form, and workarounds emerge even when systems are technically "up."
Measure the impact of execution breakdowns. These digital twins quantify lost time, productivity drag, and performance degradation caused by digital friction.
Support clear, defensible decisions. Twin-based evidence gives leaders a shared, explainable view of what is failing, where it is failing, and why it matters.
Most organizations already have ops tools that detect issues, route tickets, and speed up fixes. Those tools are good at minimizing disruption and showing when systems are "up" or misbehaving. But even when everything looks green, work still slows down, adoption stalls, and transformation outcomes fall short.
That’s because uptime is not execution. Leaders can’t see what work actually feels like inside those systems—where effort spikes, where people hesitate, where workarounds emerge, and why productivity quietly erodes. Ops tools resolve incidents. They don’t explain work.
A Human Digital Twin (HDT) fills that gap. When digital systems include people doing real work, the model must represent human experience—not just system telemetry. An HDT makes execution visible by showing where friction is introduced and what it costs in time, productivity, and performance.
Introduction to Human Digital Twins
At its core, an HDT is a practical model of experience. It captures what a person or team expects from digital work, what technology and process actually deliver, and how the mismatch shows up as wasted effort, delays, rework, and frustration. This is not a survey dashboard. It is a structured way to make work explainable.
What an HDT is not
An HDT is not a digital clone, avatar, or task agent. It does not act on someone’s behalf or monitor individuals. It models workgroup experience so leaders can see why execution is failing.
Workgroup Digital Twins
Hailee focuses on workgroups because digital transformation succeeds or fails at the team level. The same systems can work well for one group and poorly for another. A workgroup digital twin represents a specific team in context—the tools they rely on, the work they do, the handoffs they manage, and the signals that show where work breaks down.
How Hailee Uses Workgroup HDTs
Hailee is a professional-class AI advisor that reasons over these workgroup twins. Hailee explains why execution is failing by showing where expectations, design, delivery, and outcomes diverge in practice, then quantifies what that divergence is costing in lost time, productivity drag, and operational impact. The goal is decision clarity, not more data.
Benchmarking for Evidence
Workgroup digital twins become more powerful when compared. Hailee can benchmark a workgroup against similar teams to show what “good” looks like for the same kind of work—highlighting real, achievable differences based on evidence, not abstract best practices.
What This Improves
Because workgroup HDTs reveal friction at the point of execution, they help leaders find bottlenecks, isolate misalignment between process and system behavior, and focus change where it will matter. When digital work becomes easier and more reliable, execution improves, adoption strengthens, and transformation outcomes follow.
Privacy by Design
HDTs are built with privacy by design. Personally identifiable information is not used in analysis or decision-making. Only anonymized, aggregated experience signals flow into the model. PII remains protected and separate.
Human Digital Twins matter because they make digital transformation explainable. Hailee uses workgroup digital twins to turn invisible digital friction into shared understanding, measurable impact, and decision-grade clarity leaders can use to improve execution.
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