Product Management to Embrace Generative AI

Effectively embracing the opportunities of Generative AI in the domain of Product Management

Product Management Expertise & Practices

Product Management have no time to lose, they must rapidly understand:

• how Gen AI is disrupting their current portfolio of offerings

• the core characteristics of the Gen AI technology stack

• how Gen AI is going to change the nature of their role

• the importance of Gen AI ethics and good governance

• how Gen AI is and will change the nature of software development

Improving the Your Readiness for AI Agent Development

Two dedicated and highly rich capability assessments enable Product Management to understand, evaluative and enhance their capabilities as they embark on their initial Generative AI Pilot.

Enabling Product Management who are embarking who are embarking on their initial Generative AI Pilots to discover what further change activities are required for a successful exploitation of Generative AI technology as part of a digital transformation.

What You’ll Gain from the Assessment

• A clear, consolidated view of responses

• Results organized into understandable themes

• Color-coded indicators highlighting performance challenges

• Visibility into development areas

• Insights into organizational maturity across key transformation topics

• Capability levels for individuals, teams, and the organisation

• Digital advice and suggested corrective actions for each assessment area

• Tools to assign and manage improvement actions

• Alignment with leadership OKRs

What to Focus on After the Assessment

• Review results to identify key areas for improvement

• A structured process to implement improvements

• Choose corrective measures from the advice library

• Assign and manage improvement actions effectively

• Track the impact on individuals, teams, and the organization

• Make sure all actions align with OKRs

• Repeat assessments periodically to measure progress and maturity

• Anonymised feedback for honest insights focuses attention where value can be gained

Key Outputs for Leadership

• Consolidated, theme-based, and color-coded results

• Digital guidance for improvements

• Suggested corrective measures

• Capability insights at individual, team, and organizational levels

• Ability to track improvements over time

Technology Readines

Technology Readiness Assessment covers the following core characteristics of the initiative: foundation & LLM, ethical capabilities and data governance, privacy and security factors, human oversight and technical capabilities. 

Commercial Readiness

Commercial Readiness Assessment covers the following core characteristics of the initiative: AI ethics & regulation, AI initiative OKR & KPI, AI Stakeholders, AI post deployment and AI use cases.