Success Story

Enabling AI-Powered MES Configuration

Zoolatech integrated proprietary AI into MasterControl's Advanced MES platform to simplify template creation, reduce manual effort, and improve process standardization.
Faster configuration
through AI-assisted generation of production record templates.
Improved adoption
by reducing complexity and simplifying MES configuration workflows.
case study hero (7)
case study hero (7)

Technologies

Technologies

Expertise

Expertise
Client Overview

MasterControl

MasterControl is a leading provider of quality and compliance software solutions for the life sciences and manufacturing sectors. Their platform is trusted by global enterprises to accelerate product development, ensure regulatory compliance, and improve operational efficiency.

Industries

Life sciences, manufacturing software

Headquarters

Salt Lake City, UT, USA

Company size

1,000+ employees
Challenges

Manual Template Creation Slowed Manufacturing Configuration

Creating and updating manufacturing templates required significant manual effort, slowing customer onboarding, limiting process optimization opportunities, and creating barriers to product adoption.
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Time-consuming template creation

Customers spent substantial time manually translating existing documentation and manufacturing procedures into the MES platform.
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Limited process optimization

Teams focused on transferring processes into the system rather than improving and optimizing them.
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Product adoption barriers

The effort required to implement new capabilities at scale slowed adoption of newly released platform features.
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Competitive pressure

Growing adoption of AI-driven manufacturing platforms increased the need for differentiated, intelligent user experiences.
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Accelerate manufacturing operations with AI-driven automation.
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Why They Chose Us

Delivering Practical AI Within Regulated Manufacturing Workflows

Zoolatech combined AI integration expertise with a deep understanding of enterprise software delivery and existing manufacturing workflows.
Tailored AI strategy for each client

AI integration expertise

The team helped connect proprietary AI models to an established enterprise product while maintaining usability and workflow consistency.
Tailored AI strategy for each client

Iterative product delivery

A successful proof of concept validated the approach before integration into the production platform.
Zoolatech is a senior-heavy engineering firm with Silicon Valley roots and a Miami HQ, specializing in legacy modernization, system re-architecture, and AI deployment to drive long-term, compounding value.

2017

Year Founded

600+

Employees

96%

Client Satisfaction
Workflow

From AI Concept to Product Integration

The project followed an iterative approach that validated AI capabilities before expanding into production workflows.
Phase 1

Discovery and use case definition

The team identified high-value opportunities to automate master template creation and reduce configuration effort.
Phase 2

Proof of Concept (PoC) development

Engineers developed and validated an AI-powered template generation workflow using proprietary MasterControl LLM models.
Phase 3

AI workflow optimization

The team refined prompt strategies, user interactions, and document-processing approaches to improve generated results.
Phase 4

Production integration

Validated AI capabilities were integrated into the Advanced MES product and connected to existing configuration workflows.
Phase 5

Continuous expansion

The solution continues to evolve while establishing a foundation for broader AI adoption across the product portfolio.
MasterControl evolved from a fully manual template creation process toward an AI-assisted configuration experience that simplifies manufacturing record creation and accelerates deployment.
Solution

AI-Assisted Manufacturing Template Generation

Zoolatech supported the integration of proprietary AI capabilities into Advanced MES to simplify master template creation and process configuration.
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Automated master template creation

Users can upload existing process documentation and automatically generate production record templates.
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AI-powered workflow generation

The solution analyzes source materials and creates structured manufacturing workflows with phases, steps, and configuration elements.
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Document-driven configuration

Templates are generated directly from customer-provided documentation, reducing manual transcription effort.
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Human-in-the-loop review

Generated templates can be reviewed, adjusted, and refined before publication and use in production environments.
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Proprietary LLM integration

The solution leverages MasterControl’s internally developed AI models rather than third-party services.
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Scalable AI foundation

The architecture establishes a reusable framework for future AI capabilities across additional MasterControl products.
Results

Early Validation Demonstrated Strong Customer Interest

The proof of concept successfully validated the business value of AI-assisted configuration.
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Successful proof of concept

The AI-driven template generation workflow demonstrated sufficient value to move into product implementation.
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Improved user experience

The solution changes how users interact with template creation by automating complex and repetitive tasks.
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Positive customer feedback

Customer demonstrations generated strong interest and positive reactions ahead of product release.
Business Value

Establishing an AI-First Foundation for Manufacturing Operations

The platform is positioned to expand AI capabilities across additional manufacturing workflows.
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Faster configuration cycles

The manufacturer can reduce effort spent creating and updating production record templates.
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Future-ready platform

MasterControl now has a foundation for introducing AI-powered capabilities across its broader product portfolio.