DKSH and Mavic AI Explore New Ways to Scale Knowledge Across Science-Driven Organisations
This new collaboration tackles one of the most persistent operational challenges in chemicals, pharmaceuticals, and specialty materials: keeping institutional knowledge intact as organisations grow.
DKSH Performance Materials announces a collaboration with Mavic AI, an AI marketing software company, to explore how artificial intelligence can address a key challenge in science-driven industries: scaling knowledge across complex organisations while maintaining context, consistency, and decision quality, and strengthening alignment across commercial, technical, and marketing execution.
The collaboration is featured in the latest episode of The Digital Chemical Playbook, where DKSH and Mavic AI discuss how AI can improve knowledge flow across teams and support more consistent, insight-driven decision-making in technical, commercial, and marketing functions through real-world perspectives shared by Jess Tang, Founder and CEO of Mavic AI.
| Listen to the full episode on Spotify, Apple Podcast, Amazon Music, or watch on YouTube. |
A Structural Challenge in Global Science-Driven Organisations
In industries such as chemicals, pharmaceuticals, and specialty materials, expertise and knowledge is distributed across multiple layers of the organisation and lives in people rather than systems. As companies expand across markets, this creates a predictable set of problems:
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Institutional knowledge becomes fragmented
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Repeated onboarding and briefing processes
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Loss of context during team transitions
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Inconsistent interpretation of decisions across markets
From Information Storage to Context Preservation
Traditional enterprise systems are designed to store information, but don't preserve the reasoning behind it.
DKSH and Mavic AI are piloting how AI can close that gap, and create systems that enable:
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Preservation of decision context over time
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Faster access to institutional knowledge
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Improved alignment across global and regional teams
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Reduced repetition in knowledge transfer processes
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Scaling master brand assets into country-level executions with one click, while maintaining global message consistency
This allows organisations to move beyond static documentation towards reusable, contextual intelligence.
Enabling Knowledge Continuity at Scale
For science-driven organisations, consistency and accuracy are essential.
By improving how knowledge is retained and accessed, organisations can:
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Strengthen cross-functional collaboration
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Improve onboarding efficiency
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Maintain continuity during organisational change
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Support more consistent decision-making across markets
The focus is on enabling knowledge continuity, not just digital efficiency.
Commenting on the collaboration, Florian Brunet, Director, Digital, and Rio Chang, Global Digital Marketing Manager, Digital & AI, DKSH Performance Materials, shared their perspective: At DKSH Performance Materials, we continuously look for ways to scale our AI driven digital marketing performance. Our collaboration with Mavic AI enables us to accelerate content creation while ensuring quality, consistency, and strong alignment with our business priorities across 25 markets.
Responsible and Human-Centred AI Adoption
As organisations increasingly look to AI to improve productivity, scale knowledge, and streamline decision-making, ensuring responsible implementation becomes increasingly important. In science-driven industries where accuracy, compliance, and trust are critical, AI systems must operate with appropriate governance and human oversight.
A key principle of the collaboration is responsible AI implementation. The collaboration between DKSH’s global digital team and Mavic AI includes:
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Human-in-the-loop governance structures
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Compliance with regulatory frameworks
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Transparent and ethical use of data
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Clear boundaries between automation and human expertise
The objective is to ensure AI strengthens trust, accountability, and decision quality.
Looking Ahead
As highlighted in The Hidden Complexity Behind Scaling Knowledge in Science-Driven Organisations – with Mavic AI podcast episode, the future competitiveness of science-driven organisations will depend on their ability to scale knowledge effectively.
DKSH and Mavic AI will continue to explore how AI-enabled systems can help organisations transform fragmented knowledge into connected, scalable intelligence frameworks.
Learn more about DKSH insights and initiatives here: https://www.dkshdiscover.com/en/
