AI Trained My Team
Training a growing team used to mean: booking my time, writing materials that took longer than the training itself, and delivering the same session repeatedly whenever someone new joined. AI changed the entire model — training now happens asynchronously, consistently, and without consuming my calendar.
The Time Trap
When you are a subject matter expert building a team, training is essential — but the traditional model of training makes you the bottleneck. Every new hire needs the same sessions. Every process change requires updated training. Every skill gap requires a workshop. All of it lands in the calendar of the person who knows the most — the person whose time is most valuable and most scarce.
The result: training happens sporadically when the founder finds time, inconsistently because the presentation varies based on how much sleep was had the night before, and incompletely because there are only so many hours. New hires learn on the job rather than from structured training — which takes longer, produces more errors, and creates more stress for both the new hire and the team around them.
What We Built
Knowledge extraction from expert interviews
The first step was capturing the knowledge — mine and the team’s — in a form that AI could convert into training materials. Each key process was covered in a 30-minute recording session: I explained the process as if speaking to a new team member, including the why behind each step, the common mistakes, and the judgment calls that are not obvious from the process documentation alone. Otter.ai transcribed each session. Claude converted the transcripts into structured training modules: objective, step-by-step instructions, quality criteria, common mistakes, and a knowledge check. 6 recording sessions produced 18 training modules covering our entire core operation.
Building the digital training library in Bubble.io
The 18 modules were uploaded into a Bubble.io learning management system (from Post 169 architecture): each module with its content, a knowledge check, and a completion tracker. New hires are assigned the appropriate modules for their role on day 1. They complete modules at their own pace — at desk, on lunch, whenever suits their learning style. Progress is tracked automatically. The hiring manager sees completion status in the manager dashboard without needing to check in with the new hire. The training that used to require 10 hours of my calendar happens asynchronously without any involvement from me.
AI practice partner for skill-based training
For skills that require practice — client communication, objection handling, complex process decisions — I built an AI practice partner in Bubble.io. The new hire selects a practice scenario (an incoming client complaint, a difficult discovery call, a scope change conversation), the AI plays the other role, and the new hire practises the conversation. After the practice, AI provides specific feedback: what was effective, what could be improved, and the one technique to apply next time. Deliberate practice without consuming any colleague’s time.
Continuous knowledge base maintenance
The training materials need updating whenever processes change. I built a process change log: when anything in our operations changes, the responsible team member adds a change note to the Bubble.io database. A weekly Make.com scenario detects new change notes and generates updated module content from the description of the change. The module owner reviews and approves the update. Training materials stay current with almost no effort — the drag of outdated documentation eliminated.
How do I ensure new hires actually complete the training?
The completion tracker in the Bubble.io LMS makes non-completion visible — the manager dashboard shows exactly which modules each team member has completed and which are overdue. Build a 30-day onboarding plan where module completion is required before certain work is assigned: module A must be completed before client-facing work begins, modules B and C before the team member works independently on a specific process type. The training becomes a prerequisite for the work, not an optional extra. Completion rates with this structure: above 95% compared to below 50% with optional, untracked training.
What if my team members are in different time zones or have different learning styles?
The asynchronous model designed here works across time zones — there is no session to attend and no synchronous interaction required for the core training. For different learning styles: the modules are written (text-first), which suits some learners. For those who learn better from video: the recording sessions are available alongside the written module — the transcript becomes the text module, the original recording becomes the video module. The AI practice partner is particularly valuable for kinesthetic learners who learn by doing — they get unlimited practice repetitions without any scheduling constraint.
Want an AI Training System Built for Your Team?
SA Solutions builds Bubble.io learning management systems with AI-generated training modules, practice partners, knowledge checks, and manager dashboards.
