- 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.
Adopt Generative AI in Solution Delivery
Drive solution quality and team productivity with the right generative AI capabilities.
Analyst Perspective
Build the case for Gen AI with the right opportunities.
Generative AI (Gen AI) presents unique opportunities to address many solution delivery challenges. Code generation can increase productivity, synthetic data generation can produce usable test data, and scanning tools can identify issues before they occur. To be successful, teams must be prepared to embrace the changes that Gen AI brings. Stakeholders must also give teams the opportunity to optimize their own processes and gauge the fit of Gen AI.
Start small with the intent to learn. The right pilot initiative helps you learn the new technology and how it benefits your team without the headache of complex setups and lengthy training and onboarding. Look at your existing solution delivery tools to see what Gen AI capabilities are available and prioritize the use cases where Gen AI can be used out of the box.
Andrew Kum-Seun
Research Director,
Application Delivery and Management
Info-Tech Research Group
Executive Summary
Your Challenge
Delivery teams are under continuous pressure to deliver high-value, high-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
Generative AI (Gen AI) offers a unique opportunity to address many of these challenges.
Common Obstacles
- Your stakeholders' understanding of what is 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 solution delivery process is not well documented and is often executed inconsistently. An immature practice will not yield the benefits stakeholders expect.
- The Gen AI marketplace is very 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.
Info-Tech's Approach
- Ground your Gen AI expectations. Set realistic and achievable goals centered on driving business value and efficiency across the entire solution delivery process by enabling Gen AI in key tasks and activities. Propose this process 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 and 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.
Info-Tech Insight
Position Gen AI as a tooling opportunity to enhance the productivity and depth of your solution delivery practice. Current Gen AI tools are unable to address the various technical and human complexities that commonly occur in solution delivery. Assess the fit of Gen AI by augmenting low-risk, out-of-the-box tools in key areas of your solution delivery process and teams.
Insight Summary
Overarching Info-Tech Insight
Position Gen AI is a tooling opportunity to enhance the productivity and depth of your solution delivery practice. However, current Gen AI tools are unable to address the various technical and human complexities that commonly occur in solution delivery. Assess the fit of Gen AI by augmenting low-risk, out-of-the-box tools in key areas of your solution delivery process and teams.
Understand and optimize first, automate with Gen AI later.
Gen AI magnifies solution delivery inefficiencies and constraints. Adopt a user-centric perspective to understand your solution delivery teams' interactions with solution delivery tools and technologies to better replicate how they complete their tasks and overcome challenges.
Enable before buy. Buy before build.
Your solution delivery vendors see AI as a strategic priority in their product and service offering. Look into your existing toolset and see if you already have the capabilities. Otherwise, prioritize using off-the-shelf solutions with pre-trained Gen AI capabilities and templates.
Innovate but don't experiment.
Do not reinvent the wheel and lower your risk of success. Stick to the proven use cases to understand the value and fit of Gen AI tools and how your teams can transform the way they work. Use your lessons learned to discover scaling opportunities.
Blueprint benefits
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