Your AI Problem Isn't Ideas. It's the Missing Framework.
Boards want an AI strategy and most teams answer with scattered pilots. Tie each AI use case to a business metric, or it stays an experiment.
The Challenge
Emburse, a leading travel and expense management software company serving organizations worldwide, recognized the transformative potential of generative AI. They had already made a significant investment in ChatGPT Enterprise and were ready to begin rolling it out internally.
But their IT and Learning & Development leadership teams knew that simply providing access to powerful tools wasn’t enough. Without a structured approach, they risked the same pattern many organizations face: pockets of enthusiastic early adopters, widespread uncertainty among the majority, and ultimately fragmented adoption that never achieves critical mass.
The stakes were high. Emburse needed their 800-person organization to embrace AI in ways that would accelerate work, not create confusion. And they needed their leadership team—the people who would champion and model AI use—to go first.
Our Approach
Dual Logic partnered with Emburse’s IT and L&D teams to design the “AI-Vengers” program: a leadership enablement initiative built to create confident, capable AI champions at the executive level before broader organizational rollout.
Phase 1: Blended Learning for Senior Leaders
The program began with a custom training sequence delivered through multiple formats—asynchronous modules available in Emburse’s existing LMS, combined with live interactive sessions. This approach met busy executives where they were, providing flexibility without sacrificing depth.
Training content was built around Emburse’s established AI governance policy and covered three critical areas: foundations of AI governance and responsible use, advanced prompt and context management, and practical application of platform features like projects, deep research, Canvas, and scheduled tasks. The goal wasn’t just familiarity—it was fluency.
Phase 2: Cross-Functional Coaching Cohorts
Following the initial training, participants were organized into smaller cross-functional groups of three to five leaders. These cohorts met biweekly to share candid challenges, troubleshoot real scenarios, and begin anticipating the questions their teams would ask when AI tools rolled out more broadly.
These sessions also introduced change management principles and helped leaders begin identifying advanced use cases—things like automating QBR deck development, streamlining internal reporting workflows, and building chatbots that could work with live organizational data. Critically, this phase revealed which leaders were emerging as particularly capable and enthusiastic AI practitioners.
Phase 3: Building Organizational Momentum
While the leadership cohorts were developing their capabilities, Dual Logic helped seed broader AI awareness by partnering with Emburse’s Learning and Development team on quarterly “Educate Days,” hosting overview sessions that began preparing the wider organization for what was coming. Usage metrics were monitored to ensure enablement efforts were translating into actual adoption.
As Google Gemini capabilities evolved to better serve Emburse’s needs as a Google Workspace organization, the strategy adapted—shifting broader enablement efforts to Gemini to manage costs while still providing advanced AI capabilities to all team members.
The Results
The AI-Vengers program delivered something more valuable than tool proficiency: it gave Emburse’s leadership team a shared understanding of both AI’s potential and the real challenges of organizational adoption—and it identified the internal champions who will drive what comes next.
Leaders who had been curious but uncertain became confident practitioners. More importantly, they experienced firsthand the fears and concerns their own team members would face—putting them in a far stronger position to lead through the transition. And a cohort of advanced users emerged, ready to partner on sophisticated AI implementations.
What Emburse Gained:
- Executive alignment on AI strategy and the practical challenges of scaling adoption
- Cross-functional visibility into how different departments would need to adapt workflows
- A pipeline of advanced use cases identified through structured discovery with leaders across functions
- A network of internal AI champions identified and developed through the program, ready to drive execution
- A comprehensive 2026 roadmap built collaboratively, including AI-embedded onboarding, function-specific power user cohorts, communities of practice, and team-specific training sequences
What’s Next
Phase 1 built the foundation. Now comes the real work.
Emburse is entering 2026 with a multi-tiered enablement program designed to embed AI fluency across the entire organization—and Dual Logic will continue partnering with Emburse to execute on the advanced use cases identified during the leadership program.
Working in close collaboration with the power users and AI champions who emerged from the AI-Vengers cohorts, upcoming initiatives include:
- AI-embedded onboarding that ensures every new hire begins their Emburse journey with foundational AI capabilities
- Function-specific power user cohorts receiving advanced training on agents, workflows, RAG implementations, and data-connected applications
- Communities of practice connecting practitioners across departments to share wins, troubleshoot challenges, and accelerate learning
- Team-specific training sequences that leaders can deploy to retool their teams’ workflows around generative AI capabilities
- A structured process for evaluating, prioritizing, and scaling advanced AI pilots across the organization
The goal: make responsible, effective AI use the baseline expectation for everyone at Emburse—while continuing to push boundaries through increasingly sophisticated applications built in partnership between Emburse’s internal champions and Dual Logic’s expertise.
The foundation is set. Execution begins now.
