Looking to extend coaching support beyond scheduled sessions? Spark AI gives participants always-on access to reflection, preparation, and practice in the flow of work.
Spark can be offered alongside live coaching or as a standalone support experience, depending on how your program is designed.
What is Spark AI?
Spark AI provides always-on, AI-supported coaching conversations that participants can use as leadership challenges arise in day-to-day work.
Spark is designed to support reflection, preparation, and practice around real leadership situations. It can be offered alongside live coaching or as a standalone support experience, depending on program design.
Spark does not replace human coaches or change how live coaching programs are structured.
How participants use Spark
Spark supports leadership development through multiple experiences. These can be offered together or independently, depending on program goals.
Spark AI coaching
Spark AI coaching provides participants with on-demand coaching-style conversations they can use in the moment.
Participants use Spark AI coaching to:
Think through leadership challenges as they arise
Prepare for upcoming conversations or decisions
Reflect on feedback or recent interactions
Identify clear next steps to apply in day-to-day work
These conversations are available 24/7 through the Torch platform and support both text and voice interactions.
Role-play simulations
Spark also includes guided role-play simulations that allow participants to practice real workplace conversations out loud in a private, voice-based environment.
Role-play simulations focus on specific leadership scenarios—such as feedback, performance, or change conversations—and provide in-the-moment guidance to support skill development. Role-play is designed for individual practice and is not shared with coaches or admins.
360 Feedback
If your organization has elected to include 360 Feedback into the Spark experience, participants will find access to this feature in the left-hand navigation of the Spark dashboard.
360 Feedback gives participants structured input from the people they work with, including their manager and colleagues, to help them reflect on their leadership strengths and growth areas. Participants answer a short set of self-reflection questions, then invite others to share feedback on their leadership.
Learn more about 360 Feedback reporting here.
How Spark fits into coaching programs
Spark can be offered in different ways depending on how your program is structured.
Spark coaching alongside live coaching
When Spark is offered alongside live coaching, it supports participants between coaching meetings.
Participants use Spark to reflect, prepare, and practice outside of sessions, while live coaching remains the primary space for relationship-based coaching, continuity over time, and deeper exploration with a human coach.
Spark conversations and role-play activity are not yet shared with coaches on the platform.
Spark coaching without live coaching
Spark can also be offered as a standalone support experience, without pairing participants with a live coach.
In these programs, Spark serves as the primary place for participants to:
Work through leadership challenges
Practice conversations and build skills through role-play
Reflect on feedback and clarify next steps
Build leadership capacities over time
This model is often used to extend development support more broadly or provide always-on access without scheduling live coaching sessions.
When Spark is most useful
Spark is particularly effective in programs where:
Coaching sessions are spaced out over time
Participants are navigating fast-moving or complex change
Leaders need support in the moment, not just during scheduled meetings
Organizations want to reinforce leadership development in day-to-day work
Skill practice and repetition, such as role-play, are important for building confidence and capability
Organizational context and continuity
Spark is aware of the leadership capacities and organizational goals your company has prioritized for development.
It may also draw on organizational context your company has chosen to share, such as values, leadership capacities, or high-level priorities, to frame conversations appropriately.
Over time, Spark builds context from participant conversations to keep support relevant. Individual conversations remain private and are not visible to admins or coaches.
What admins can see
Spark is designed to support participant development while maintaining clear boundaries around privacy and access. At launch, admins do not have direct access to Spark reporting in the platform.
Spark engagement information may be available upon request through your Customer Success Manager.
Is Spark secure?
Yes. Spark follows Torch’s enterprise security and privacy standards.
It is designed and operated to meet enterprise security expectations, including:
Encryption in transit and at rest to protect data
Strict access controls and role-based permissions to limit internal access
Audit logging and monitoring for accountability and traceability
Isolated tenant data to prevent cross-customer access
Secure infrastructure and operational controls aligned with Torch’s security program
Spark also follows Torch’s privacy commitments and does not use customer data to train AI models.
For more information see Torch’s security and privacy policies.