GenAI Assessments
Ensuring You Have the Capabilities to "Win" with GenAI
Success with GenAI requires a wide range of organizational capabilities, and you're not ready... Select one of our GenAI Capability diagnostics below to quickly assess your GenAI readiness.
See below for additional details
Developing the GenAI Capabilities to Win Survey
A quick scan of the Organizational Capabilities required to successfully adopt and scale GenAI across your business.
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Developing the GenAI Capabilities to Win
A deep-dive into the full range of Organizational Capabilities required to successfully adopt and scale GenAI across your business.
Get StartedEnabling Governance & Operational Integrity
Enable trusted GenAI adoption with secure and responsible AI, integrated governance, and disciplined change management.
Maturing Foundational GenAI Capabilities
Build reliable GenAI solutions with GenAI-ready data, strong UX design, robust model evaluation and selection, foundational orchestration, and GenAI operations.
Implementing Scaling Capabilities
Scale GenAI across the enterprise through talent development, a GenAI Center of Enablement, strong GenAI brand building, and integrated product economics analytics.
Adopting Advanced GenAI Capabilities
Unlock differentiated outcomes with advanced AI/ML expertise, agentic AI, fine-tuning, hyper-personalization, intelligent orchestration, and enterprise knowledge graphs.
Developing the GenAI Capabilities to Win
Adopting GenAI is fundamentally a Capability Journey. Some, like LLM Ops, are new, will others, like Data Management, need to evolve significantly. In either case, your ability to close capability gaps will "Make or Break" your GenAI adoption efforts.
Do you have the organizational Capabilities to Win with GenAI? Find out in 60 minutes or less.
Key Watch Outs and Targeted Benefits
Signs your organization's GenAI Capabilities aren't "Ready for Primetime"
You lack a clear GenAI Capability Blueprint
You don’t have a clear map of the capabilities required to win with GenAI, so your GenAI product efforts struggle with long lead times and wide-spread quality problems.
You're unsure "What Good Should Look Like" @ Scale
"Instructions Not Included"
Gaps in "A before B"
The Measurement Gap
Targeted Benefit of Closing Organizational GenAI Capability Gaps
Faster Time-to-Value
Close capability gaps to shorten lead times, eliminate rework, and turn high-potential GenAI ideas into production results sooner.
Confident Sequencing & Spend
Higher Quality & Reliability
Trust, Governance & Risk Control
Measurable Progress & Accountability
Jason is a highly-experienced business strategist and AI practitioner with over 25 years of experience driving transformation and business growth across many of the best known brands in the world. His areas of expertise include Generative AI strategy and implementation, business model transformation, data-driven decision making, change management and adoption, and strategic adaptability.
He is a highly sought after thought leader on Generative AI and Strategic Agility, and has been a featured speaker across the US and internationally. His clients have included USAA, Elevance, RBC, Bank of America, FACTSET, Silicon Valley Bank, SlingTV, and ChargePoint.
Previously, Jason held COO, Senior Partner, VP and Director roles focused on business acceleration, emerging tech strategy, digital transformation, customer experience innovation, and product strategy at JPMorgan Chase, American Express, Simplified Asset Management, AIG, IHG, E*TRADE, and the Business Agility Consulting Group.
Marty specializes in pioneering the integration of artificial intelligence within diverse industries, notably in eLearning and training environments. His journey has been marked by facilitating executive-level workshops and CIO Summits designed to demystify the potential and risks of generative AI technologies within organizational structures. These initiatives have supported numerous companies in launching pilot projects, significantly showcasing the business value of AI implementations.
His expertise extends into the architectural design and deployment of advanced AI solutions. He’s developed an AI Copilot for Product Managers that harnesses emerging AI technologies to streamline product development cycles and a sophisticated AI agent that reduced client task times from 6 hours to under 15 seconds by enhancing software development workflows.
Brian is an experienced emerging technologies and ways of working transformation leader with extensive experience driving clear and actionable strategies for high impact business results.
His combined legal and technology background helps his clients establish clear guardrails and systematically de-risk innovation and commercialization of new technologies. He also specializes in streamlined innovation enablement and delivery of targeted, customer centric solutions.
He has worked with many of the best known brands in the world, including Capital One, Expedia, Southwest Airlines, Bank of America, Rosetta Stone, Nordstrom, Microsoft, and Boeing.
