Clu Labs extends Clu Cognitive Fingerprinting™ to the task layer

Clu Labs research release, June 2026

Clu Labs has extended Clu Cognitive Fingerprinting™ from skills to tasks.

After 12 months of re-modelling our task taxonomy, which spans 146 areas of work, every task in the taxonomy now has its own fingerprint, anchored in the atomic skills it draws on. The release comes nine months after Clu launched Cognitive Fingerprinting™ in September 2025, after four years of research.

Background

Clu Cognitive Fingerprinting™ describes every skill in the Clu Atomic Skill Taxonomy™ in the same structured way. Each skill gets a short signature, its fingerprint. This lets Clu compare any two or more skills directly and trace every result back to its source.

Since the September 2025 launch, Clu has fingerprinted more than 6,000 atomic skills and attributes and applied the methodology to QA existing assumptions and programmes in client programmes across all five of the regulated sectors we operate in.

The research problem

As our CEO has always said, skills are the language of successful work, but nobody was ever taught to speak it. Ask someone which skills they use in their job and most will struggle to answer, or reach for generic terms such as “communication” or “problem solving”. Ask what they do, and the different people can describe their work in unison.

Clu Labs saw this repeatedly in client work. When employees described their work through Clu’s Task Capture form, 87% of responses matched a specific task. When asked to list their skills, only 54% gave answers precise enough to use.

Tasks are the language people already use for describing what they do. Skills are what make them good at it and where the scientific rigour sits. Clu Labs' question was how to let people work in Clu at the task layer without losing the precision of the atomic skill layer.

What has changed

Every task in Clu’s task taxonomy now has a fingerprint, built from the same three questions used for skills, plus four more indicators that demonstrate its breadth and depth in application.

Each task fingerprint is now justifiably connected to the atomic skills that make the task deliverable. The task layer gives people a language they recognise. The skill layer underneath keeps every calculation and result standardised, consistent and traceable.

Clu Labs built a statistical link between the two layers by testing how task fingerprints relate to skill fingerprints across our taxonomy of tasks, skills, and attributes. We built and tested each link using our proprietary AI models with human review on anomalies and edge cases. Once a link passed testing, we fixed and versioned it in the platform.

Clu does not publish the linking method, but it is available to clients under NDA.

How the method has evolved since September 2025

Expanding to tasks also tested the original method. Applying fingerprints to work described in everyday language exposed a small number of places where the skill schema needed clearer rules, enhanced calculations and several new categories. We refined these, and rechecked every affected skill before the task layer went live. We split 149 skills that failed the atomicity test when mapped to tasks into 310 new atomic skills.

Results

• From a role’s tasks alone, Clu now derives +90% of the skills on that role’s profile and identifies which are most valuable when starting a role vs which can be easily developed in-post.

• Skill profiles derived from tasks matched expert-built profiles in 91% of over 2,000 roles tested.

• Rerunning the same role data produced the same profile 100% of the time.

The unmatched skills mostly fall into attribute categories, such as certifications and specialist software, which belong to a role in a particular organisation and are added separately.

What this means for clients

Clients can now describe their workforce in the terms their people already use. Employees describe what they do, managers approve task profiles, and Clu translates that work into precise, comparable skill profiles underneath.

Because tasks now carry fingerprints, you can also read augmentation scores at the task level. Leaders can see which parts of a job AI, automation or robotics could take on, and which parts still need people.

Frequently asked questions

What is task fingerprinting? Clu Labs’ extension of Clu Cognitive Fingerprinting from skills to tasks. Every task carries a fingerprint anchored in the atomic skills it draws on.

Why fingerprint tasks, not just skills? People describe their work accurately in tasks but rarely in skills. Fingerprinting tasks lets Clu work in the language people use, while keeping its analysis anchored in the skill layer.

Does task fingerprinting use generative AI? No. The Clu platform uses no generative AI. The same input always produces the same output.

To see task fingerprinting applied to your organisation, you can contact Clu's research team directly at labs@getaclu.io.

About Clu

Clu provides work intelligence for regulated organisations. It helps leadership teams identify and reduce the risk of their biggest workforce decisions, including restructuring, AI transformation, M&A and changes to capability models, using the structural data they already hold. Clu Labs is Clu's research arm.