Generative AI Powered SDLC
Effectively embracing the opportunities of Generative AI to optimise the software development life cycle
In August, 25 we discussed the impact Generative AI of Product Management. In part three of our Generative AI discussion paper, we turn our focus towards how organisations can embrace Generative AI to optimise the software development life cycle. Supported with And like our earlier discussion we draw the readers attention to a number of challenges and threats posed by Generative AI as well as some of the emerging opportunities and actions, which we believe Product Management needs to tackle today.
Current Product Management Practices
Product Management (e.g. Product Managers, Product Owners, Product Leads & Portfolio Managers) provide a wide range of commercial and technical expertise throughout the life cycle of both internal IT system and software initiatives, and externally focused commercial software solutions. Their expertise covers activities such as business case creation, initiative kick off, prioritisation, acting as the voice of the customer everyday, Stakeholder management and financial management.
The article we attempt to answer the following question:
“what new competencies and activities must Product Management develop so that they remain a highly values part of the organisation, in the face of emerging Generative AI?”
Monetical findings
During our research we discovered successful Product Management today calls for new expertise across both fields of technology and commercial to ensure the threats and opportunities the rapid emergence of Generative AI is occurring.
Assess and Improve Your Organisation’s Readiness
Enabling Product Management to understand, evaluative and enhance their capabilities as they embark on their initial Generative AI Pilot with a fully integrated and intelligent digital consulting service.
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.
Digital Consulting Schedule
Establish Capability Readiness
Wealth of Consulting Advice
Increased Capability
Free-of-charge access to this unique digital consulting service. Establish your Product Management’s baseline capability and develop a comprehensive capability uplift plan as it embarks on its Generative AI initiative.