BONOBO THINKING DESIGN.

| PREDICT THE FUTURE
BY CO-CREATING IT |

|CASE STUDY

Driving Enterprise-Wide GenAI Readiness Transformation

Challenge

A leading Big 4 consulting firm's Global Capability Center (GCC) aimed to build GenAI awareness, experimentation capability, and innovation mindset across 8,000+ employees in functions like Talent, Knowledge, Operations, Procurement, Creative, Branding, and Advisory.

Solution

Using the REAL (Real-world Experiential Action Learning) framework, BTD designed and delivered a 6-month transformation journey, including:

• Awareness and discovery workshops

• POV and expert-led sessions

• Use case sprints and hackathons

• Mentorship and prototyping labs

• Curated Knowledge assets, Video's, Course Modules

• Built a Knowledge sharing and social learning platform

Outcomes

• GenAI awareness increased from 10% to 75%

• 40+ innovation ideas generated

• 12 MVPs developed, including new products and process innovations

• Significant 2–3X efficiency gains in core functions

• Uplift in average skill levels across service lines—from Level 1 to Level 3

Challenge

A multidisciplinary student group from diverse academic backgrounds—including management, game design, finance, and technology—was tasked with understanding the global food waste problem. The objective was to develop applied research and problem-definition skills by exploring the real-world complexities of food waste across consumer, supply chain, and policy segments.

Approach

Using Bonobo Thinking Design’s REAL Framework (Real-world Experiential Action Learning), we facilitated a two-week intensive workshop focused on discovery and problem framing. Participants conducted primary and secondary research, built data collection tools, performed stakeholder analysis, and applied systems thinking to map the problem landscape. The sessions encouraged divergent thinking, collaboration, and convergence of ideas to define high-impact problem statements.

Participants also engaged in user journey mapping, storytelling, and evaluation of existing solutions to assess impact at the socio-economic level, using qualitative and quantitative insights.

Outcomes

• Developed strong foundational skills in research methodology and problem definition

• Exposure to real-world complexity, cross-disciplinary collaboration, and systems thinking

• Successfully framed multiple problem statements across food waste domain

• Enhanced ability to evaluate solutions based on user behavior, impact, and feasibility

• Improved team effectiveness and co-creation capabilities in a short sprint

|CASE STUDY

Learning Research & Problem Definition Skills

Using Global Food Waste as a Real-World Problem Context

|CASE STUDY


Learning Digitalization Transformation

Challenge

A large workforce operating within the (Global Compliance and Reporting Business) at a leading Big4 firm is expected to meet high standards of both technical and functional knowledge, given the complexity, risk, and cross-border (Tax) nature of the work. Manual and ad hoc training led to recurring issues that impacted revenue and raised costs:

• Compliance failures due to inconsistent understanding

• Operational inefficiencies from repeated errors and rework

• High training costs from non-scalable delivery methods

• Slow onboarding with longer time to productivity

• Lack of standardization across teams and geographies

• No visibility into training effectiveness or skill gaps
  

Approach

Engaged 20+ business sub-streams and SMRs to assess current skills, identify gaps using a unified skills taxonomy, and design a future-ready learning ecosystem.

• Aligned skills across domains, roles, and levels

• Designed role-based learning journeys

• Built a skill readiness tool with pre/post assessments

• Developed an AI chat assistant for expert support

• Created digital content assets for scalable learning

• Organized the entire experience through a web-based technology platform
  

Outcomes

Improved cost efficiency, accelerated onboarding, enabled revenue growth, and supported product monetization.