After 12 years of continuous progress, we have reached a watershed moment in AI adoption throughout the materials and chemicals industries.
Year over year, the Citrine Platform user community has grown by 276 %. AI is no longer a "nice to have"; it is quickly becoming the norm.
To remain competitive, companies must implement AI more quickly and effectively than their competitors. With over 100 enterprise engagements under its belt, the Citrine Informatics team knows what works and what does not.
Citrine sells more than software; it helps teams deploy AI in a way that produces real business results through careful change management, alignment, and hands-on support.
Cumulative registered users of the Citrine Platform. Image Credit: Citrine Informatics
What Successful Companies Do
1. They Establish the Correct Governance
Transformative change involves both strategic sponsorship and practical implementation. The mix of top-down sponsorship and bottom-up execution is the most significant differentiator we observe in effective digital transformation.
- Executive Steering Group: This group ensures the program has defined business goals, budget, and visibility. They remove bottlenecks, communicate strategic importance, and track results. Without this layer, AI programs often stall owing to misplaced priorities or resource restrictions.
- Tiger Team: The Tiger Team is the hands-on, cross-functional team responsible for making the task a reality. This team works closely together, meets regularly, and creates momentum. They conduct pilots, learn quickly, and replicate what works.
2. They Select the First Projects Wisely
Not all AI projects are the same. The first project establishes the tone and influences internal impressions. Successful organizations prioritize first use cases that are:
- High business value enough to matter
- Feasible with available data, equipment, and people
- Scalable to future applications
These early successes generate advocates. They increase confidence. And they make it obvious that AI is not a research experiment, but rather a practical productivity tool. In contrast, teams that begin with overly ambitious or isolated tasks frequently lose momentum before making an impact.
3. They Get to the Lab Quickly
Many teams get caught up in seeking the "best model." However, the true value comes from making better experimental decisions faster and with greater confidence. Artificial intelligence does not replace experimentation; instead, it leads and accelerates it.
The Most Successful Customers:
- Focus on reducing the number of experiments, not eliminating them.
- Prioritize getting recommendations into the lab quickly.
- Use the results of those experiments to refine models iteratively.
A "good enough" model that drives a meaningful decision outperforms a "perfect" model that never leaves the laptop.
Hear Directly from Successful Customers
Upscaling AI Company Wide
Saint-Gobain: 34 projects onboarded in 22 entities in 18 months. Video Credit: Citrine Informatics
When Rolling Out AI, How Do You Trust Employees Will Engage #innovation
Dorfner: Expanded adoption across the broader group. Video Credit: Citrine Informatics
AI enables new employees perform like a experienced vets
Syensqo: Innovating patentable polymers. Video Credit: Citrine Informatics
This information has been sourced, reviewed, and adapted from materials provided by Citrine Informatics.
For more information on this source, please visit Citrine Informatics.