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AI training platform improving training efficiency by 60% for HelloWash

Deveshi Dabbawala

March 26, 2026
Table of contents

HelloWash provides AI-driven customer support solutions for the car wash industry, including voice-based ticketing systems and chatbot services. With a strong footprint in this niche, HelloWash aimed to expand into training by building an AI training platform that helps businesses onboard and manage support teams more effectively.

Problem: static training materials limit learning outcomes

Car wash businesses rely on PowerPoint and PDF documents to train support staff, but these materials are static, difficult to scale, and do not support structured learning. Without an AI training platform, managers struggle to track performance and maintain consistency across teams. Training content lacks interactivity, there is no structured system to assess knowledge retention, and visibility into trainee progress remains limited. Manual quiz creation further increases operational effort.  

As teams grow, maintaining consistent training quality becomes more challenging. HelloWash needed an AI training platform that could convert existing materials into structured learning while enabling measurable outcomes.

Solution: AI training platform for automated learning

GoML designed and developed a backend-only AI training platform using GoML’s AI Content Generation boilerplate. The platform converts traditional training materials into interactive modules with automated quizzes and performance tracking.

This AI training platform uses LLM-based content transformation to create scalable and structured training experiences tailored for support teams.

Document processing and module generation

The AI training platform ingests PowerPoint and PDF files and extracts:

  • Text content
  • Images
  • Logical structure such as headings and sections

It then converts this data into structured learning modules, enabling businesses to transform static documents into dynamic training using an AI training platform.

Interactive module system

The AI training platform creates text-based modules with:

  • Clear sequencing across topics
  • Progress tracking for each trainee
  • Admin editing and approval workflows

This ensures consistent and scalable training delivery through the AI training platform.

Automated quiz generation

The AI training platform generates:

  • 3 multiple-choice questions per module
  • Context-aware questions based on content
  • Automated scoring and performance tracking

Admins can review and refine quizzes, improving the quality of training within the AI training platform.

Role-based user management

The AI training platform supports two roles:

  • Admin (Manager)
  • User (Trainee)

Managers can:

  • Create trainee accounts
  • Assign modules
  • Track performance

Trainees can:

  • Access modules
  • Complete quizzes
  • Monitor progress within the AI training platform

Training progress and analytics

The AI training platform provides:

  • Module completion tracking
  • Quiz performance insights
  • Individual trainee reports
  • Visibility into pending and completed modules

This allows managers to make data-driven decisions using the AI training platform.

Impact

  • 60% reduction in training content creation effort using the AI training platform
  • 3X faster onboarding of support staff
  • 40% improvement in training completion rates
  • Improved visibility into team performance through the AI training platform

About

Location 

Minneapolis, MN 

Tech stack 

AWS, API Gateway, AWS Lambda, Amazon Bedrock, Claude Sonnet, FastAPI, PostgreSQL, Amazon S3 

Before Gen AI and after Gen AI

Area 

Before 

After 

Training content 

Static documents 

AI training platform generated modules 

Assessment 

Manual quizzes 

Automated quizzes in AI training platform 

Progress tracking 

Limited visibility 

Real-time tracking via AI training platform 

Scalability 

Difficult to standardize 

Scalable AI training platform 

User experience 

Passive learning 

Interactive learning with AI training platform 

“With this AI training platform, we transformed static training materials into scalable systems that improve performance and consistency across support teams.”

Prashanna Rao, Head of Engineering, GoML

Key takeaways for service businesses

Common challenges

  • Static training does not scale
  • Manual processes slow down onboarding
  • Lack of visibility affects team performance

Practical guidance

  • Adopt an AI training platform to convert documents into structured learning
  • Automate quizzes and assessments using an AI training platform
  • Use analytics within an AI training platform to track performance
  • Implement role-based systems for better training management

Ready to build an AI training platform for your business?

Partner with GoML to build scalable AI systems that turn training into measurable performance outcomes with AI Matic.

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