Resource guide
How to embed an AI mentor in partner training applications
Your customers want workshop-floor coaching and photo assessment; your roadmap is full. Smart Trady offers partner integration and embed options so apprentices get practical AI mentoring inside the product you already sell, configured with your curriculum and synced when you are ready.
Last updated: 2026-06-13
Partner embed vs building visual AI in-house
Building mobile capture, gateway sequencing, rubric-grounded AI, and instructor audit trails in-house pulls engineering from your core LMS roadmap for months. Smart Trady supplies a vocational-focused engine partners embed or connect via API, with Department Pilot proof on one customer cohort before Campus Rollout integration scales.
Embed patterns partners use
Common patterns include iframe or web-view embed of the apprentice coaching flow, deep links from your module pages, and SSO handoff so apprentices land in Smart Trady without another login. Your shell keeps navigation and branding; Smart Trady handles photo capture, AI analysis, and gateway state.
API integration suits partners who want progress events in their own analytics (submission passed, coaching triggered, instructor override) without displaying our full UI. Scoping calls map required endpoints to your release train.
Curriculum configuration stays with the partner
Partners upload rubrics, demonstration clips, and SOP extracts per trade module. The AI Mentor never coaches from generic web knowledge; it uses partner-approved standards. That protects your differentiation and satisfies customer due diligence.
Instructors retain final grading authority. Partners can expose Smart Trady dashboards to customer admins or surface summary data in their own reporting layer.
Commercial path from pilot to rollout
Start with one joint customer on Department Pilot: one trade module, success metrics agreed upfront, marking hours saved, first-attempt pass rate, apprentice adoption. When metrics hold, Campus Rollout adds API sync and multi-customer configuration libraries.
Book a partner demo separately from direct college sales. Bring integration depth, target customer profile, and timeline for first embed release.
Technical and support expectations
Browser-based apprentice access avoids app-store friction for end customers. Partners should plan sandbox environments for QA and customer UAT before production keys.
Documentation covers embed security, webhook payloads, and data retention defaults; enterprise partner terms customise SLAs and support channels.