Service Offering
AI Proof of Concept Development
Go from an idea to a proof-of-concept prototype created to demonstrate the feasibility, functionality, and potential value of a new AI-powered strategy. Work with us to:
Approach
Proof of Concepts Designed for Impact
01
Scope the prototype or proof of concept
Work with key stakeholders and prospective clients to inform an initial proof of concept or prototype and outline the scope and requirements, including key functionalities and KPIs.
02
Launch and gather feedback
Get market feedback and run a diligent process of feedback sessions to collect data, identify themes, and evaluate its performance against the defined criteria.
03
Iterate and inform the long-term solution
Present the PoC to stakeholders to showcase its functionality and potential value, document findings, conduct thorough testing, and provide recommendations for full-scale development based on feedback and evaluation results.
Solution Spotlight: Catalant Forward Deployed Experts™
Build Pilots Designed to Scale
Combine functional experts with AI engineers, so your proof of concept fits how your business functions operate.
Winning Together
AI Development Use Cases
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 company 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 company 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.
Billing Process Automation
A large utilities company’s ERP systems lacked full integration, affecting operational efficiency and data access. Manual processes prolonged resolution times, negatively impacting customer satisfaction. After mapping the entire process of a bill through the flow, areas ripe for automation and optimization were identified. The design and development of a custom product allowed for automated billing status updates within the ERP system. As a result, billing times, errors, and discrepancies significantly reduced.
featured experts
AI Proof of Concept Development Consultants
Linda Drabik
Catalant consultant
20+ years of experience in digital transformation and Gen AI advisory and deployment
Robert Alward
Catalant consultant
Former McKinsey & Co., and the Founder and CEO of Last Theorem Strategies
Linda Drabik
20+ years of experience in digital transformation and Gen AI advisory and deployment
Senior executive leader for innovation, R&D, and product teams with proven experience across industries like financial services, healthcare / pharmaceuticals, and hospitality.
Robert Alward
Former McKinsey & Co., and the Founder and CEO of Last Theorem Strategies
Experienced consultant utilizing data science, artificial intelligence, and machine learning to address core challenges for Fortune 500 companies.
Elias Wehbe
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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