Accelerated Innovation

Incubating New GenAI Solutions

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Incubating New GenAI Solutions

Description

Incubating new GenAI solutions involves creating an environment where early-stage ideas can evolve into scalable innovations. A GenAI CoE plays a vital role in offering structured support-such as resources, guidance, and cross-functional coordination-to help promising concepts progress from concept to pilot.

Why it's Important

Without intentional incubation efforts, many GenAI opportunities stall in early experimentation or fail to reach production due to misaligned resources, unclear ownership, or lack of strategic prioritization. A well-designed incubation capability accelerates time-to-value by enabling teams to rapidly test, refine, and validate GenAI use cases with focused guidance. It also ensures promising ideas are nurtured with the right mix of expertise, tools, and governance-so they can scale responsibly and sustainably. Most importantly, a strong incubation function helps transform innovation into impact, driving long-term differentiation across business units.

Why it's Challenging @ Scale

  • Fragmented intake across business units: GenAI ideas often emerge informally and fail to reach centralized support or visibility.
  • Lack of structured pathways for experimentation: Teams may not know how to get support or move from concept to pilot.
  • Competing priorities and limited resources: Incubation efforts may be deprioritized in favor of “ready to scale” initiatives.
  • Unclear success criteria and ownership: Without clear goals and handoffs, pilots can stall or fail to graduate.
  • Insufficient measurement of incubation outcomes: Many organizations struggle to track impact, limiting learning and visibility.

Complexity

High: Incubation requires robust intake, structured triage, cross-functional collaboration, and consistent feedback loops-along with flexible resource allocation to support rapid experimentation.

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Taking Action

Though most organizations begin their GenAI journey with significant knowledge gaps, there are targeted actions that can be taken to accelerate the process. Select your group’s current maturity, based on your assessment results, and act today.

The most important part of any journey is starting… To move from “Exploring” to “Experimenting”, focus on the following key actions:
  • Explore Key Concepts & Best Practices: Complete the GenAI Center of Enablement (CoE) Best Practices workshop (2 hrs.) to understand foundational key concepts and explore applied best practices.
  • Defining the vision and mission of a GenAI CoE.
  • Establishing governance and ownership structures.
  • Cataloging core services and support functions.
  • Communicating value and success metrics.
  • Planning the evolution and scaling of the CoE.
  • Define Your Action Plan: Outline concrete, prioritized steps your organization will take to implement GenAI Strategy.
  • Align on your Current State and define your Target State.
  • Create an actionable enablement plan.
  • Define target timeline and measures of success.
  • Deliver Quick Wins: Small, high-impact GenAI projects that can demonstrate tangible value in a short time frame.
  • Establish an internal incubation intake process: Create a lightweight submission path to capture new GenAI ideas across teams.
  • Stand up a cross-functional pilot support team: Provide hands-on help to teams pursuing high-priority GenAI experiments.
  • Launch a “Fast Track” pipeline for MVPs: Accelerate early-stage solutions through clear, time-boxed paths to pilot and review.
To move from Experimentation to “Lifting-Off”, prioritize the following actions:
  • Complete one or more of our Deep Dive Courses: Begin exploring key concepts and best practices, including:
  • GenAI Use Case Discovery & Prioritization Best Practices.
  • GenAI R&D Acceleration & Applied Innovation Best Practices.
  • GenAI R&D Acceleration & Applied Innovation Best Practices.
  • Enterprise GenAI Architecture & Tooling Best Practices.
  • GenAI Development Best Practices & Support.
  • Nail It Before You Scale It: Assess and optimize your solution or process before adopting it at scale
  • Assess Your Proposed Solution or Process: Evaluate incubation pipeline effectiveness and identify bottlenecks or misaligned incentives.
  • Define in-scope Processes and Guardrails: Clarify decision criteria, resource thresholds, and ownership for moving projects into formal incubation.
  • Close any Data or Measurement Gaps: Ensure consistent tracking of incubation inputs (ideas submitted), outputs (pilots launched), and outcomes (value delivered).
  • Define Your Adoption & Scaling Plan: Create a structured roadmap for how GenAI solutions will be rolled out across teams, workflows, or business units
  • Define Your Phased Implementation Plan: Establish stages of incubation maturity-from informal support to enterprise-wide solution accelerators.
  • Build Awareness and Finalize Enablers: Create guidance docs, kickoff templates, and internal tools to support teams entering the incubation process.
  • Operationalize Your Comms Plan: Promote the incubation program internally through town halls, newsletters, and success stories to build visibility and demand.
To move from Lifting-Off to “Accelerating”, prioritize the following actions:
  • Formalize Your Best Practices: Document and standardize what’s working to ensure consistent, scalable success across teams and use cases
  • Codify Incubation Intake Criteria: Define which projects are eligible for incubation and what qualifies as a strong candidate.
  • Standardize Stage Gates and Review Processes: Create consistent checkpoints to assess progress, allocate resources, and determine next steps.
  • Integrate Incubation with CoE Workflows: Embed incubation activities into broader CoE planning, tooling, and advisory functions.
  • Accelerate Your Adoption: Intensify efforts to embed GenAI across your organization by expanding use cases, increasing user engagement, and removing adoption barriers
  • Expand Incubation Across Business Units: Support experimentation in underrepresented domains through proactive outreach and guidance.
  • Increase Velocity Through Shared Resources: Provide teams with starter kits, reusable code, and sandbox environments to reduce setup time.
  • Empower Domain Teams to Self-Incubate: Enable teams to run early-stage projects independently using CoE frameworks and light-touch support.
  • Celebrate Your Wins: Publicly acknowledge team accomplishments to build and sustain adoption momentum
  • Highlight Pilots That Delivered Measurable Impact: Showcase stories where incubation led to tangible business value.
  • Publish an Internal Incubation Leaderboard: Track and recognize the number and quality of projects advanced through incubation.
  • Establish a “GenAI Incubator of the Quarter” Award: Use recognition to motivate team participation and leadership support.
The “Accelerating” stage represents “Target State” for many capabilities. “Breaking Away”, on the other hand, suggests that the specific Capability represents a clear competitive advantage for your business.
  • Streamline & Embed: Integrate GenAI into core workflows while eliminating friction points to make usage seamless and routine
  • Operationalize Incubation as a Standing Function: Establish permanent teams, governance, and funding streams for continuous incubation.
  • Embed Incubation Touchpoints into Product Lifecycle: Link incubation activities to standard product intake, development, and deployment processes.
  • Align Incentives Across Stakeholders: Ensure business, tech, and governance leads are measured on shared incubation outcomes.
  • Leverage Automation: Use GenAI-powered tools and workflows to streamline repetitive tasks, enhance operational efficiency, and reduce manual effort
  • Automate Idea Intake and Tracking: Use GenAI to classify, prioritize, and route submitted incubation ideas based on business goals and readiness.
  • Create AI Assistants for Project Reviews: Deploy copilots that can summarize pilot outcomes, flag risks, and recommend next steps.
  • Use Dashboards for Real-Time Visibility: Centralize tracking of incubation KPIs, resource allocation, and cross-functional activity.
  • Evolve & Further Accelerate: Continuously refine GenAI strategies based on insights and outcomes, while expanding into more complex or high-impact use cases
  • Refresh Incubation Criteria Based on Business Strategy: Align future focus areas with evolving market priorities and internal capability gaps.
  • Extend Incubation to Advanced GenAI Concepts: Begin supporting multimodal models, agentic workflows, and cross-functional AI initiatives.
  • Share Learnings with External Ecosystem: Publish open-source assets, contribute to innovation networks, and showcase leadership in GenAI incubation.

Key "Watchouts"

As you take action you’ll want to avoid:

  • Lack of intake clarity across teams: Without clear submission guidelines, promising ideas may be lost or deprioritized.
  • Overloading incubation with too many projects: Excessive intake without prioritization can dilute resources and delay progress.
  • Misaligned success criteria: Teams may optimize for technical demos rather than measurable business outcomes.
  • Poor handoff to production teams: Incubated pilots can stall if downstream ownership is unclear or unsupported.
  • Failing to communicate outcomes: Without storytelling and metrics, it’s hard to secure sustained support and trust.

Targeted Benefits

While Incubating New GenAI Solutions can be challenging, its benefits are clear and compelling, including:

  • Faster path from idea to impact: Structured incubation reduces cycle time between concept and pilot deployment.
  • Increased innovation throughput: More teams are empowered to experiment with GenAI in a focused, supported way.
  • Higher quality solutions: Projects benefit from guidance, playbooks, and technical oversight during development.
  • Stronger organizational learning: Incubation surfaces repeatable patterns, gaps, and insights for broader adoption.
  • Differentiation through velocity: A visible incubation capability signals market leadership in responsible GenAI innovation.

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Eddie
Accelerated Innovation

Hi, I'm Eddie 👋

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