Most B2B products are designed to support complex workflows, so the design language is usually direct, information-dense, and functional. Visuals and gamification are often associated with B2C products, where they're used to improve onboarding, build habits, and keep users engaged.
What made designing the MAX Training Center interesting for me was bringing those engagement principles into a B2B environment. The challenge wasn't to gamify for the sake of it, but to help businesses understand the value of building their AI knowledge base. As users trained the system, they could see how their data was turning into a business asset capturing years of operational knowledge, identifying patterns, and helping the AI make better recommendations. The Training Center became more than an onboarding experience; it acted as a companion throughout the product, guiding users, rewarding progress, and helping them understand how different pieces of knowledge connect to create a smarter system.
Build trust by making AI learning transparent and easy to understand.
Encourage users to contribute structured, high-quality business knowledge.
Create a continuous feedback loop that improves AI recommendations.
Reduce repetitive manual work by capturing organizational knowledge.
Establish the foundation for intelligent automation and predictive workflows.
A guided training center for onboarding and knowledge creation.
AI training using data from customer estimates, jobs, customer invoices, and supplier invoices.
A gamified progression system with achievement levels (Helper → Apprentice → Journeyman → Master).
Contextual insights, learning recommendations, and automation opportunities.
Explainable rule creation, allowing users to understand how AI reaches decisions.
AI-generated draft templates to accelerate setup and reduce manual effort.
Gamification & Progression System
The progression system represents learning maturity, not feature usage or vanity metrics. Each level reflects the confidence and breadth of learned business logic, and directly governs what the AI is allowed to suggest or automate. Progression is cumulative, transparent, and irreversible.
/Levels, XPs and Capabilities
Helper
0 (Default)
Observation only; no AI output
Apprentice
5,000
Insights and contextual nudges
Journeyman
25,000
Insights, advanced suggestions, contextual nudges
Master
75,000
Insights, advanced suggestions, contextual nudges, automated drafts
/Rewards and Nudges
These Rewards are on the basis of activities, levels and XPs.
/What value does the center create for User
Level Progression Reward: Insights & Contextual Nudges
Insights - Proven patterns observed in ≥80% of relevant cases within the same category. The Insights can be from 5 to 50 in number for every sync. The broader classification of Rules and Non-Rules.
Guardrails (Rules)
These should be:Actionable and enforceable by the system
Binary or threshold-driven
Preventive or corrective
Clearly defined logic (if-this-then-that)
Insights (Advisory)
These should be:Non-enforceable
Contextual and exploratory
Helpful for decision-making
May include trends, suggestions, or observations