
Generative AI Services
The Lumos Group Harnesses the Power of Artificial Intelligence for Creative Innovation
While organizations move to establish a competitive advantage leveraging AI, they first must overcome inherent challenges—from building the right tech stack and managing the safe use of data, to training employees and ensuring output quality and appropriate tracking.
We combine business strategy and technical expertise to help you rethink your goals with AI in mind, then build the most high-value use cases from proof of concept to production. Our integrated team of industry and AI consultants, AI product managers and engineers, and key partners work together to propose strategies based on value, feasibility, risk, and differentiation, and then we deliver the solution’s tech stack, operating model, and talent strategy. Most importantly, we ready your organization for AI adoption by strengthening internal capabilities, training your team, and implementing change management to ensure a smooth transition.
Leaders are showing clear steps toward tangible outcomes from generative AI investments. Here are the critical actions that pave the way; What we offer:
Develop your roadmap for AI. Assess your current AI capabilities, including generative AI and classical AI, data infrastructure, technology capabilities, talent proficiency and company culture vis-à-vis innovation, collaboration and adaptability. From this baseline, bring your roadmap to life with realistic milestones to shore-up any weaknesses.
Establish an AI operating model. By its nature, scaled use of generative AI requires cross-functional collaboration. Establish an operating model that builds collaboration on topics like risk management, responsible AI and use case prioritization.
Build for value realization. Demonstrate AI's value through tangible outcomes like cost savings, revenue growth and operational efficiencies. Help people adopt and trust generative AI as they embrace change. To thrive, they’ll need a culture that values creativity, collaboration and continuous improvement.
Put your use case prioritization engine to work. This approach prioritizes use cases based on:
• Innovative ideas. Invite employees to innovate but support them with a cohesive prioritization approach to ensure ideas and resources align with overall goals.
• Comprehensive intake. Require detailed information on value, risk, strategic fit, value measurements and who will need to buy-in to make ideas work.
Structured decision-making. The best will involve a diverse stakeholder group for broad buy-in and support.

Possible Scenarios and Trajectories for GenAI
2024
2025
2026
2027
40% of enterprise applications will have embedded conversational AI, up from less than 5% in 2020
30% of enterprises will have implemented an AI-augmented development and testing strategy, up from 5% in 2021
Generative design AI will automate 60% of the design effort for new websites and mobile apps.
Over 100 million humans will engage robocolleagues (synthetic virtual colleagues) to contribute to enterprise work
By 2027, nearly 15% of new applications will be automatically generated by AI without a human in the loop, up from 0% today

- January 2022
