Claire: the vertical AI agent that is changing the work of HR teams
Why Create a Vertical AI Agent (and Not a Simple Chatbot)
Generalist language models have made extraordinary progress but face a structural limitation: the difficulty in understanding a specific domain in its operative nuances.
In the HR world, this limitation weighs even more heavily because:
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processes are articulated
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decisions have significant implications
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context is as crucial as the data
A vertical agent is born precisely to overcome this gap. It doesn’t just generate text: it acts, interprets, and evaluates within the rules of the domain in which it operates.
Claire is designed to move within HR practices, not just around them: it reads, compares, classifies, responds, and makes decisions according to the same criteria that guide recruiters.
Claire’s Architecture: The three key elements that make it a concrete tool for HR teams
Building a vertical agent means combining linguistic skills, decision-making capabilities, and domain rules. In Claire’s case, this architecture is based on three complementary layers.
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Intelligent Language Model The foundation that allows Claire to understand unstructured content – CVs, job descriptions, emails – and transform them into usable information, maintaining logical coherence even in articulated instructions.
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Process Management Layer (The Ranking Engine) This is Claire’s operational core and the element highlighted by Il Sole 24 Ore. When a recruiter asks, “Find the most relevant profiles,” Claire doesn’t respond generically: it breaks down the request, compares each CV against the role requirements, and produces a coherent shortlist, based on a logical and replicable decision-making process.
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Vertical Layer Optimized for HR (The Pillar of Correctness) Here the AI stops being just fast and also becomes reliable. This layer incorporates consolidated HR practices and manages:
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the ranking algorithm,
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the evaluation logic,
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the guardrails against bias, guaranteeing that the selection is orderly, fair, and focused on competencies.
As Enrico Ariotti, co-founder and CEO of nCore HR, emphasizes:
“Our goal was not to create an agent that spoke better than others, but one that understood the context better. HR is made up of nuances and priorities that a generalist model does not grasp.”
Why verticalization is the key to the future of HR
Il Sole 24 Ore‘s decision to feature Claire does not stem from a fascination with AI, but from a structural issue: the operational complexity of the HR sector is such that only verticalized agents can manage it effectively.
CV screening is just the beginning: HR teams perform hundreds of micro-activities, make contextual decisions, and maintain continuous relationships with candidates and hiring managers.
Claire intervenes precisely here, as support:
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it reduces operational friction,
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it increases the quality of recruiters’ time,
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it improves process transparency,
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it accelerates selection while maintaining consistency and correctness.
It doesn’t replace human judgment; it enhances it. And it makes an increasingly complex profession simpler.
Frequently asked questions
- Does Claire replace the recruiter's job?
No. The agent supports the processes; it does not make decisions instead of people.
- Can Claire "invent" answers?
The architecture is designed to drastically reduce uncontrolled behaviors thanks to the vertical structure and the process management layer, which make the answers more coherent and contextual.
- Does it integrate into existing workflows?
Yes: precisely because it is vertical, it is designed to adapt to the flows already present in HR teams.
Conclusion
The arrival of vertical AI Agents represents a profound transformation for the world of work. Claire is one of the first concrete examples of how artificial intelligence can become an ally for HR teams, improving not only productivity but also the quality of decisions and the candidate experience.
The future of HR will not be made up of AI replacing people, but of AI alongside people. And Claire is a decisive step in this direction.
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