InkludMI is an AI-powered platform designed to improve mentoring and development programs through structured support, reflection, and measurable progression.

Across public sector programs, NGOs, and corporate talent initiatives, mentoring is widely used—but often lacks consistency, continuity, and visibility into outcomes. Mentors operate with limited support, participants lose momentum between sessions, and program owners struggle to track impact.

InkludMI addresses this by providing:

an AI-driven reflection and guidance layer for participants between meetings
a structured support tool for mentors to prepare, follow up, and improve conversations
simple progress tracking and insights for program managers

Built on principles from Motivational Interviewing (MI), the platform strengthens relational learning while introducing structure and scalability.

InkludMI enables organizations to run more effective mentoring and development programs—leading to higher engagement, better outcomes, and improved transition into employment or career progression.

The platform is currently being validated across municipalities, nonprofit mentoring initiatives, and early corporate use cases.

👉 InkludMI – structured progression in mentoring and development programs

InkludMI

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