AI Proof of Concept Development
Go from an idea to a live website or mobile application with a proof-of-concept prototype created to demonstrate the feasibility, functionality, and potential value of a new AI-powered strategy. Catalant’s AI Experts bring years of hands-on experience designing, building, and implementing value-driving AI solutions for the most influential companies in the world. Work with us to:
Approach
Proof of Concepts Designed for Impact
Winning Together
AI Development in Action
Problem
A large Private Equity firm struggled to identify high-impact AI automation opportunities. A comprehensive AI strategy was needed to implement improvements, obtain stakeholder buy-in, and ensure effective adoption.
Action
The work began by conducting in-depth stakeholder interviews, reviewing relevant materials to understand current processes, and researching the AI tools suitable for the PE industry. An impact-tracking strategy with key success metrics was developed.
Results
The presented AI strategy highlighted significant automation opportunities. By rolling out the selected AI tools in phases and tracking usage and impact, the implementation of the AI tools resulted in:
- 5% time savings for associates conducting due diligences
- A framework for ongoing AI integration, enabling continuous operational improvement and adaptation
From Experimentation to Production
A leading PE firm sought to align their portfolio companies around driving value creation with generative AI. While many portcos had experimented with genAI, few had launched a product into production and needed guidance in selecting the best use case, technical architecture, approach, and then implementing a measurable solution. Thanks to the workshops and guidance delivered, several portcos launched a generative AI solution within the timeframe indicated by the PE firm.
Construction Firm AI Optimization
The client faced increasingly complex operations working across 7 states, causing scheduling and operational pain due to rapid growth and expansion. The manual approach to managing all of the changing factors tied to installer deployment and time management proved burdensome at scale. After implementing the AI-driven feature optimization, the client no longer needed 3 schedulers to manage the system. A single scheduler was able to handle a much higher volume of jobs, adapting to real-time changes across multiple regions.
Featured AI Experts
Featured AI Experts
Elias W.
15+ years of experience transforming complex data into actionable insights
Formerly at Monitor Deloitte, now CEO of BigLittleRobots, a data and AI services company specializing in solutions like Retrieval-Augmented Generation (RAG), modern data infrastructure transformations, advanced analytics, and machine learning.
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