MasterControl: AI-Powered Workflow Automation

Success Story

AI Hackathon Sparked Hands-On Product Experimentation

Zoolatech engineers joined MasterControl's internal innovation sprint, contributing to teams that turned bold ideas into working AI prototypes.

Rapid AI prototyping

contributed to functional AI demos built in just five days.

Award-winning participation

for teams recognized as top performers.

Technologies

Java

Python

React

AWS

LLMs

Machine Learning

AI assistants

Expertise

CI/CD

DevOps

Ruby on Rails

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Accelerating Product Innovation

MasterControl needed new ways to evolve its enterprise platform faster by testing AI-driven features that could enhance usability and automation.

Reducing Manual, Document-Heavy Workflows

Teams wanted to eliminate time-consuming setup and operational tasks by applying AI to recognize documents, extract data, and generate digital templates.

Preparing the Platform for an AI-Enabled Future

The company sought practical prototypes that could demonstrate how AI assistants and intelligent workflows could be integrated into its regulated software ecosystem.

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AI integration and prototype development

We rapidly design and build AI-driven features that connect with enterprise platforms and deliver measurable workflow improvements.

Regulated workflow automation expertise

We build secure AI solutions that streamline document-heavy processes and fit seamlessly into compliance-driven environments.

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

Phase 1

Ideation and team formation

Mixed teams of MasterControl and Zoolatech members aligned on use cases — focusing on AI features that could enhance usability and reduce manual product tasks.

Phase 2

Rapid prototyping

Team members worked intensively to create proof-of-concept MVPs, using MasterControl's internal AI tools, infrastructure, and secure data environments.

Phase 3

AI Integration and testing

Teams connected LLMs to sample product data to explore intelligent outputs — such as automated document parsing and workflow drafting.

Phase 4

Demo and evaluation

Each prototype was presented to MasterControl's internal judges, who assessed functionality, user experience, and potential business value.

Phase 5

After the sprint

MasterControl's teams own the evaluation of hackathon insights and any decisions about applying them to the company's platform and AI direction.

In one week, Zoolatech delivered award-winning AI demos that automated workflows and helped shape future platform innovation.

Intelligent document recognition (prototype)

A demo showed how AI models could analyze lengthy maintenance and operational documents to draft digital templates — illustrating potential time savings in manual setup.

Workflow drafting assistant (prototype)

A hackathon-built assistant demonstrated how users might create workflow drafts from plain text or uploaded materials, hinting at a gentler learning curve for new operators.