Snap Synapse helps teams move from AI promise to AI practice with focused facilitation, L&D ecosystem consulting, and rollout support that turns pilots into reliable workflows.
L&D ecosystems
Design and modernization of learning systems and processes that reduce operational drag.
Facilitation
Hands-on live/remote sessions that turn AI curiosity into repeatable practices, without prompt theater.
AI Rollouts
Project delivery support that moves pilots into stable workflows without breaking the business.
L&D Ecosystem Strategy and Modernization
Who it is for
- L&D leaders modernizing learning platforms, content ops, or capability maps
- Ops partners tasked with reducing training friction and time-to-competence
- IT teams managing the L&D stack and its integration with other systems
What you get
- A system map of your current learning ecosystem
- Prioritized modernization roadmap with near-term wins
- Governance and ownership model that keeps change moving
Common engagement formats
- Discovery sprint (2-4 weeks)
- Ecosystem audit and roadmap workshop
- Implementation support for critical workstreams
What success looks like
- Lower operational drag and fewer redundant/shadow tools
- Clear ownership and faster delivery cycles that increase adoption
- Documented configurations and secure dataflows that just work
Next step Book a meeting
Applying AI in Learning and Development Facilitation (ATD Certificate)
We are proud to partner with the Association for Talent Development and Josh Cavalier to support L&D professionals transitioning to Human-Machine Performance Analysts via application of this book in 3-day certificate workshops for L&D professionals.
Who it is for
- Talent development, talent management, performance improvement, organization development, and HR practitioners who need practical capability, not theory.
- Leaders of learning functions who need to understand what AI changes in their function and how to implement it strategically.
- Common L&D roles including: trainers and facilitators, instructional designers, learning technologists, and CLO level leaders.
What you get
- An immersive, three-day learning experience grounded in real L&D work, with guided practice using AI tools and models.
- A structured understanding of generative AI, including the current state, future trends, and how to evaluate platforms and tools.
- Practical application across the full L&D cycle, including accelerating performance consulting, skill mapping, and needs analysis, plus creating and refining multimodal learning assets.
- Concrete build artifacts, including strategic prompt design, content drafts (storyboards, microlearning modules, video scripts), and a performance support chatbot, plus an intro to automation workflows and agents (including GPTs and Gems).
- Hands-on tool practice, with participants expected to have access to an LLM such as ChatGPT, Gemini, Claude, Copilot, or Perplexity.
What success looks like
- Participants leave empowered and confident to apply AI directly to L&D work, not just talk about it.
- Teams can identify high-value AI applications, diagnose performance gaps with AI support, and streamline day-to-day workflows so time shifts from busywork to deeper work.
- Practical, reusable outputs exist immediately after the program: prompt patterns, content prototypes, chatbot starter, and a first-pass automation plan that maps to real workflows.
Next step Enroll in the Applying AI in Learning and Development Certificate program
AI Rollouts and Workforce Enablement
Who it is for
- Program owners moving from pilots to operational adoption
- Cross-functional teams coordinating AI enablement across functions
- Leaders who need to see progress without getting buried in nuance
What you get
- Rollout plan with milestones, owners, and adoption criteria
- ADKAR-based enablement materials and light-touch governance
- Project management that keeps the work real and measurable
Common engagement formats
- 30-90 day rollout management
- Enablement content and comms support
- Pilot-to-production readiness review
What success looks like
- Reliable workflows that survive real-world constraints and complaints
- Dynamic communities of practice that get stronger after the pilot ends
- Leaders that understand how to measure and report on AI adoption
Next step Book a meeting
Recent deliveries
Situation Global medical device manufacturer with a fragmented learning ecosystem.
- Need Make capability and tooling coherent enough to modernize without breaking delivery.
- Approach Ecosystem audit, modernization roadmap, reduce legacy content, set new standards.
- Proof Deactivated 90% of legacy content, increased engagement, reduced training development time.
Situation Established national nonprofit suddenly finds itself in a high-volatility environment.
- Need Scale delivery and decrease costs simultaneously, while increasing engagement diverse audience.
- Approach Map existing workflows, identify bottlenecks, and design a new AI-enabled workflow that scales.
- Proof Reduced dependencies and increased AI fluency lead to faster delivery of better content.