Food & Agriculture
Company Profile
World's largest berry company
750+ independent growers across 5 continents
115,000+ workers, operations in 60+ countries
The Challenge
Identifying highest-impact opportunities enterprise-wide
Align business and IT teams on strategic AI priorities
Establish systematic framework to evaluate AI feasibility
Build scalable AI roadmap for long-term strategic goals
The Solution
AI Vision Workshops with cross-functional stakeholders
Structured framework to identify and prioritize
Detailed MVP plans for each shortlisted use case
Business cases with ROI projections and value metrics
Business Functions
R&D
Operations
Commercial
Finance
Our Solution
AI Vision Workshops
Use Case Prioritization
Business Case Development
Roadmap Building
Outputs
90+ Opportunities Identified
3 Priority Use Cases Selected
Detailed MVP Plans + ROI Models
Scalable AI Roadmap
Cross-Function Alignment Across All 4 Functions
The Full Context
The company, a century-old family business and global market leader in premium berries, embarked on a digital transformation to embed AI across core functions. With proprietary berry varieties, 750+ independent growers worldwide, and operations spanning 5 continents, the organization needed to align business and IT stakeholders on where and how to apply AI meaningfully across R&D, operations, commercial, and finance.
With the help of AuxoAI, a structured approach was developed to identify high-impact use cases, assess feasibility, and build a scalable AI roadmap that could deliver tangible business value across the enterprise.
The Approach
Key stakeholders from business and IT came together to develop a strategic AI roadmap for the enterprise.
1
AI Vision Workshops
Brought together cross-functional stakeholders from business and IT to identify, brainstorm, and prioritize AI opportunities.
2
Use Case Prioritization
Developed a shortlist of high-impact opportunities, each supported by a clear MVP plan detailing core features and resources.
3
Business Case Development
Built detailed ROI projections for each use case, quantifying efficiency gains, cost savings, and potential revenue uplift.
The structured approach enabled systematic evaluation and roadmap creation. Business leaders gained clarity on AI investments; IT teams received actionable implementation plans.
The Impact
The engagement delivered 90+ AI opportunities across 4 core functions with 3 priority use cases ready for immediate execution.
The structured approach eliminated guesswork. Business and IT stakeholders gained alignment on where AI could deliver the most value. Each priority use case came with detailed MVP plans, clear resource requirements, and quantified ROI projections.
The company now operates with a scalable AI roadmap spanning R&D, operations, commercial, and finance. Rather than ad-hoc experiments, the organization has a strategic framework for evaluating and implementing AI across the enterprise.
Project Highlights
Engagement
AI strategy consulting
Cross-functional workshops
4 core business functions
Results
90+ AI opportunities
3 priority use cases
Full MVP roadmaps
Detailed business cases