We believe the right connection can change your life, and at Mentorloop we make authentic human connections easier to find, build, and grow. We're always on the lookout for new technologies to help build great mentoring relationships, and naturally, we've turned our attention to AI - generative, non-generative, and agentic.
We would never use AI to replace an authentic mentoring relationship - we're not in the business of robot mentors! But we are excited about the potential for AI to support breaking the ice, setting an agenda, building momentum, optimizing connections and generally removing friction in your mentoring journey. Here we answer a few frequently asked questions about how we use AI at Mentorloop.
What kind of AI are we talking about?
We are committed to experimenting with a breadth of AI technologies, to find opportunities to support program coordinators and participants to get the greatest impact from their Mentorloop experience. This can take many forms, but most commonly this looks like:
Generative AI
Generative AI uses algorithms to create ('generate') content like text, images, audio, video, code etc. At Mentorloop we're using it to create text-based content - e.g. prompts to help start a conversation between mentor and mentee, or a match overview.
Non-generative AI
Non-generative AI analyzes existing data to make predictions, classifications or recommendations. We use it to produce specific outcomes such as match scores, predict engagement patterns to optimize mentoring relationships, or recommend the most relevant content, resources and next steps to both participants and program coordinators.
How does Mentorloop use AI?
Mentorloop uses AI to help both participants and program coordinators along in their mentoring journey. For mentors and mentees, it may appear as an option to generate an ice-breaker, help create an agenda for an upcoming mentoring meeting, recommend the most relevant resources, and offer 24/7 in-app support and guidance. For program coordinators, it can assist with program creation, management and communication such as optimizing matching, analysing participant feedback, and recommending actionable next steps.
Do I have to use AI in Mentorloop?
Our generative AI features are optional. In the platform, you'll see a button with this icon ✨ which offers AI-powered suggestions in context, like generating ice-breakers, meeting agendas or a match overview. You can choose to click it and see what the AI proposes, or you can ignore it entirely.
Non-generative and agentic AI features that optimize the mentoring experience for both participants and program coordinators, such as matching analysis, work in the background to help you enjoy the most engaging and impactful mentoring journey. These AI features are available to all programs, but can be disabled by the program coordinator.
What if I don't want to use the AI features?
Many of our AI features are embedded into mentoring programs by default to ensure the best mentoring experience for everyone, however program coordinators can opt-out of AI features in their program on behalf of themselves and their participants. Where AI features are enabled, program participants can choose whether to utilize generative AI features.
Where does my data go if I use the AI features?
To power your Mentorloop experience, we use AI across a range of features, workflows and support. In doing so, we may use data such as profile information, goals, feedback, meeting history etc, to deliver the most relevant and effective experience for both program coordinators and participants. We handle this data responsibly and in accordance with our Privacy Policy. We do not share personally identifiable information outside of Mentorloop, and your data is not used to train any external AI models.
Do all programs on Mentorloop have these AI features?
No. Not all Mentorloop programs currently have access to our AI features. This is because program coordinators can elect to disable all AI features in their mentoring program, on behalf of themselves and their participants. It could also be because a new AI feature is in early release, and as such only available to a small subset of programs and participants.
If you'd like more information about how Mentorloop collects, processes, and stores your data, please check out our Privacy Policy.