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.
Why Digital Transformation Fails Without Human Digital Twins
Model digital work at the workgroup level, where execution succeeds or fails
Expose where work slows down even when systems are "up"
Quantify the cost of friction in time, productivity, and performance
Give leaders decision-grade clarity before outcomes slip
Most organizations already have ops tools that detect issues, route tickets, and speed up fixes. Those tools minimize disruption. They are good at telling teams when systems are "up" and when devices or apps are misbehaving. But even when everything looks green, work still slows down, adoption stalls, and transformation outcomes fall short.
That is because uptime is not execution. Leaders cannot see what work feels like inside those systems—where effort spikes, where people hesitate, where workarounds emerge, and why productivity quietly erodes. Ops tools can resolve incidents. They cannot explain work.
A Human Digital Twin (HDT) fills that gap. When the system includes people doing real work—employees using tools, workflows, and policies—the twin must represent human experience, not just system telemetry. An HDT makes execution visible by modeling 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 is actually delivered by technology and process, and how the mismatch shows up as wasted effort, delays, rework, and frustration. This is not a survey dashboard. It is a structured representation that makes 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 system can work well for one group and fail badly for another. A workgroup digital twin represents a specific team in a specific context: the tools relied on, the tasks performed, the handoffs managed, and the experience 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 uses a workgroup HDT to explain why execution is failing by showing where expectations, design, delivery, and outcomes diverge in practice. Hailee 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 compare a workgroup twin to a benchmark twin so leaders can see what "good" looks like for the same type of work. The point is not abstract best practices. The point is evidence: what high-performing groups experience differently, where the gaps are, and what is realistically achievable.
What this Improves
Because workgroup HDTs reveal friction at the point of execution, they support real improvement across digital employee experience and workplace performance. They help leaders find bottlenecks, isolate misalignments between process and system behavior, and focus change where it will matter. When digital work becomes easier and more reliable, organizations see faster execution, stronger adoption, and better outcomes from transformation investments.
Privacy by Design
HDTs must be built with privacy-by-design. In our case, personally identifiable information is not shared in the analytic or decision-making processes of the twins. Only anonymized and aggregated experience signals move forward 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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