Generative AI Strategy
Generative AI Strategy
Generative AI is expected to change industries and business functions today and into the future, but companies are struggling to figure out where to start and what to focus on. Generative AI Strategy helps organizations develop their plan of attack – including which use cases to focus on, which technology to deliver with, what expected outcomes to measure against, and what guardrails to put into place to be a responsible steward of AI.
Understanding Generative AI: Current Impact and Future Potential
Generative AI refers to a type of artificial intelligence that can create new content, such as text, images, music, or even videos, based on patterns and data it has learned. Instead of simply recognizing or analyzing existing information, it generates new outputs that resemble what it has learned from large datasets. As GenAI evolves, we are seeing two major trends: on one hand, the development of specialized tools for specific tasks; on the other hand, a convergence towards intelligent agents that integrate multiple systems and generative AI applications to perform complex tasks, from formulating plans to executing them.
These growing capabilities have the potential to enhance efficiency, creativity, and decision-making across industries. They are already driving both cost savings and revenue growth. In fact, a recent global study revealed that 65% of organizations are regularly using GenAI.
However, adoption is far from uniform across industries. Sales & marketing, customer service, and technology teams are leading the charge, incorporating GenAI into workflows where its benefits are easily realized. Meanwhile, many other departments, including HR, finance, and operations, struggle to identify use cases that can meaningfully improve their processes. This disparity means that for many organizations, GenAI remains a patchwork of point solutions pioneered by a few forward-thinking teams rather than an integrated, enterprise-wide strategy.
The challenge, then, is moving beyond isolated use cases and enabling broader adoption. Companies that are able to craft a cohesive AI strategy—one that looks at GenAI as an enabler across all functions—will unlock its full potential. To avoid being left behind, organizations should focus on aligning AI initiatives with core business goals, ensuring that cross-functional teams are educated on how AI can augment their work, and identifying scalable solutions that go beyond short-term pilots.
How to get started with a Generative AI strategy
Integrating Gen AI into the fabric of an organization may seem overwhelming, but by using our Total Experience methodology we can cocreate an effective strategy to do so. Rightpoint has been partnering with clients for the last several years to educate their workforces, define focus areas for their AI journey, and prepare for the implications of AI-first experiences. Clients commonly come to us to answer the following questions:
How does Generative AI apply today and in the future to our customer, employee, and/or product experiences?
Where do we place our Generative AI bets?
What are the right Generative AI tools (language models) for our use cases?
How do we holistically measure success?
What are the key risks to consider and how to mitigate?
To answer these questions, we offer a menu of options that our clients can mix and match to meet their needs:
1. Use Case Prioritization + Roadmapping
We help clients identify and prioritize high-impact generative AI use cases aligned with business goals. Through customer or employee research, collaborative workshops, and industry best practice knowledge, we create a strategic generative AI roadmap with a focus on when to launch, which technology tools (e.g., language models) to use, and estimated investment required.
2. Enablement and Adoption
We enable clients to build internal capabilities for AI adoption through tailored adoption strategies, customized learning plans, and change management support that fosters a culture of AI proficiency and innovation. Whether it is adopting Microsoft Copilot, trialing Adobe AI features, or launching a custom generative AI tool, Rightpoint can orchestrate successful pilots and scaled launches.
3. Measurement Framework
We develop a tailored framework to measure the impact of generative AI, defining KPIs and metrics that align to your businesses short- and long-term objectives. We then support implementing the framework, including building dashboards to monitor success and sharing key learning back with product teams.
4. Business Case ROI
We create a business case for generative AI investment by modeling potential ROI – including cost savings or revenue generation potential. In addition, we model the cost of implementation, including unit costs, maintenance/operation costs, and onboarding/training costs.
5. Responsible AI
We guide clients in implementing AI ethically by developing responsible AI policies, governance frameworks, and risk management strategies. This creates a path to organizational compliance and builds employee trust in the technology.
A Holistic Strategy
Rightpoint isn’t just a technology company — it’s a total experience company that provides a holistic approach to employee experience, customer experience, and product experience. From design and strategy to execution, every solution is based on the root of the business problem. Strategy teams, user experience experts, designers, and research experts come together to meet the exact business needs and achieve vertical alignment across industries. It’s a nimble, agile approach that gives organizations high-quality resources optimized for today’s challenging market.
Learn More
Contact us for more information to see how this solution can align with your business objectives and help transform your experience.