- Delivery teams are under continuous pressure to deliver high value and quality solutions with limited capacity in complex business and technical environments. Common challenges experienced by these teams include:
- Attracting and retaining talent
- Maximizing the return on technology
- Confidently shifting to digital
- Addressing competing priorities
- Fostering a collaborative culture
- Creating high-throughput teams
- Gen AI offers a unique opportunity to address many of these challenges.
Our Advice
Critical Insight
- Your stakeholders' understanding of Gen AI, its value, and its application can be driven by hype and misinterpretation. This confusion can lead to unrealistic expectations and set the wrong precedent for the role Gen AI is intended to play.
- Your SDLC is not well documented and is often executed inconsistently. An immature practice will not yield the benefits stakeholders expect.
- The Gen AI marketplace is broad and diverse. Selecting the appropriate tools and partners is confusing and overwhelming.
- There is a skills gap for what is needed to configure, adopt, and operate Gen AI.
Impact and Result
- Ground your Gen AI expectations. Set realistic and achievable goals centered on driving business value and efficiency across the entire SDLC by enabling Gen AI in key tasks and activities. Propose the SDLC as the ideal pilot for Gen AI.
- Select the right Gen AI opportunities. Discuss how proven Gen AI capabilities can be applied to your solution delivery practice to achieve the outcomes and priorities stakeholders expect. Lessons learned sow the foundation for future Gen AI scaling.
- Assess your Gen AI readiness in your solution delivery teams. Clarify the roles, processes, and tools needed for the implementation, use, and maintenance of Gen AI.