Accelerated Innovation

Ensure You Have the Capabilities to Win with GenAI

Developing the GenAI Capabilities to Win

Assessment
The Capability Roadmap to Scale GenAI—Securely, Responsibly, and with Measurable Impact.
Move beyond one-off pilots and reactive fixes by establishing a clear GenAI capability baseline, closing the right gaps first, and building the operating cadence to continuously improve what you ship.
 
To win, you’ll need an end-to-end capability system—governed, measurable, and continuously improved—so GenAI solutions stay secure, responsible, high-performing, and scalable.
The Challenge
Most organizations are trying to scale GenAI while their capabilities are evolving in real time—making it hard to keep delivery fast and safe. Common friction points include:
  • Unclear governance and accountability for Secure AI, Responsible AI, and integrated decision-making
  • Gaps in foundational execution (data readiness, model selection, orchestration, UX, evaluation, and LLM Ops)
  • Scaling constraints (talent, enablement, CoE structure, branding, and solution economics)
  • Inconsistent quality, reliability, and risk controls as solutions expand to more users and domains
  • Difficulty prioritizing what to fix first—and proving progress with measurable outcomes
If you can’t baseline maturity and close gaps with focus, GenAI efforts stall in scattered improvements—or scale with avoidable risk.
Our Solution
An integrated assessment + workshop + coaching engagement designed to baseline maturity, identify gaps, and translate findings into prioritized, capability-specific actions.
  • Targeted Assessment & Acceleration Guides — Baseline GenAI capability maturity, identify gaps, and translate findings into prioritized actions by capability area.
  • Leadership Workshops — Align leaders on best practices and action plans to responsibly adopt and scale GenAI across the organization.
  • Capability Roadmap Coaching — On-demand advisory support to develop and continually optimize your capability roadmap and gap-closure plan.
  • Stakeholder Readout & Prioritization — Synthesize findings into a practical roadmap with sequenced initiatives, owners, and decision points.
  • Operating Cadence & Measurement Setup — Establish a repeatable review rhythm and metrics to track capability improvement over time.
Areas of Focus
  • Enabling GenAI Governance & Operational Integrity (Secure AI, Responsible AI, Integrated Change Management, Integrated Governance)
  • Maturing Foundational GenAI Capabilities (Data, LLM Selection, Orchestration, UX Design, Evaluation, LLM Ops)
  • GenAI Scaling Capabilities (GenAI Talent, GenAI CoE, Branding, Solution Economics)
  • Advanced GenAI Capabilities (AI/ML, Agentic AI, Intelligent Orchestration, Personalization, Model Training & Tuning, Knowledge Graphs)
Targeted Acceleration Guides
> 800 actionable resources to accelerate your GenAI journey, including:
  • A brief description of each capability or practice
  • Why it’s important and why it’s challenging at scale
  • The typical complexity to solve
  • Three actions to take based on your specific level of readiness
  • Key watch‑outs and common pitfalls to avoid
  • The benefits you can expect when you close this gap
Outcomes You Can Expect
  • A clear capability maturity baseline — Strengths, gaps, and risk hot-spots across the capabilities that drive responsible scale.
  • A prioritized capability roadmap — What to improve first, with sequenced initiatives and practical 30/60/90-day actions.
  • Stronger governance and operational integrity — Clear accountability and repeatable controls that reduce security and responsibility risk.
  • Improved solution performance and reliability — More consistent quality through better evaluation, ops practices, and UX alignment.
  • A scalable path to advanced capabilities — A readiness-informed plan for agentic workflows, personalization, tuning, and knowledge graphs.
 
This is the Solution for You, if:
  • You’re scaling GenAI beyond pilots and need a structured way to baseline maturity and prioritize improvements.
  • You need stronger Secure AI / Responsible AI practices without slowing delivery.
  • You want a practical roadmap—and ongoing coaching—to continually optimize capabilities as your GenAI footprint grows.

Baseline. Prioritize. Scale. Evolve.