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Use Case
Vetoquinol integrates a dedicated AI partner to stay ahead
Vetoquinol aimed to structure its AI monitoring, better support its teams, and turn still fragmented use cases into a more coordinated adoption model. AI Partners deployed a dedicated expert to ensure continuous support, hands-on operational guidance, and regular strategic alignment across the organization.
"Successfully combining our traditionally conservative industry with the power of AI opens exciting opportunities to reinvent the way we work and amplify our impact."
— Head of Marketing Department, Vetoquinol
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Results
Your partner for seamless GenAI adoption
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The dedicated support model gave teams continuous access to expertise, improved coordination, and enabled the AI roadmap to evolve in line with new capabilities.
1
Dedicated AI expert for all teams
Monthly-updated AI roadmap
Ongoing support across every use case
The challenges
Vetoquinol needed to establish a structured support model to keep pace with AI developments, guide teams, and avoid fragmented adoption across tools, use cases, and departments.
Speed
The pace of AI evolution made structured internal monitoring impossible without a dedicated resource.
Adoption
Teams were using Copilot and Copilot Studio without governance or support, creating a risk of fragmented usage.
The solution
AI Partners designed an embedded support model combining expertise, operational support, and regular strategic reviews to help Vetoquinol structure its AI adoption over time.
01
Dedicated expert
AI Partners supports teams on an ongoing basis via Teams, regular workshops, and monthly briefings on AI trends.
02
Scope
Hands-on support on Copilot and Copilot Studio, monthly strategic check-ins, and quarterly impact reviews.
03
Continuous improvement
The model tracks new capabilities, connects them to business priorities, and continuously adjusts the AI roadmap.
Portfolio
Our use cases
We build GenAI systems that solve concrete workflow problems.
From copilots to agentic automation, each use case is designed
to be safe, measurable, and integrated into your existing tools.
From copilots to agentic automation, each use case is designed
to be safe, measurable, and integrated into your existing tools.
