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Crafting a Thoughtful Strategy for Generative AI Adoption

Posted on on October 24, 2024 | by XLNC Team

Generative Artificial Intelligence (AI) and conversational User Experience (UX) dominate discussions across industries today. These technologies are reshaping how we work, from news articles and social media posts to team meetings in the metaverse.

As per a recent survey by McKinsey, generative AI has gained widespread attention among professionals across various regions, industries, and seniority levels. 79% of respondents report some exposure to Gen AI, whether at work or in their personal lives, while 22% use it regularly in their jobs. Usage rates are comparable across seniority levels, with the highest adoption found among those in the technology sector and North America.

However, according to Gartner, Inc., at least 30% of GenAI projects will be abandoned after the proof-of-concept stage by 2025 due to issues such as poor data quality, insufficient risk controls, rising costs, or unclear business value.

When implemented effectively, generative AI can enhance employee experiences, maximise productivity, and maintain the security of enterprise data. Well, to unlock the full potential of these technologies, enterprises must carefully plan their introduction and implementation.

Crafting a Flight Plan

Successful adoption of generative AI and UX technology requires thoughtful preparation. Organizations must evaluate existing business processes and workflows to understand how employees interact with productivity applications. Key stakeholders should play an integral role in determining how to best leverage these powerful capabilities. This ensures that the technologies are not misused and that sensitive information remains protected.

Here are three critical steps enterprises should take when creating a plan for implementing generative AI:

Define an Enterprise AI Policy

Establishing a clear AI policy is essential to guiding the use of generative AI within the organization. This policy should outline the appropriate use of AI technologies, ethical considerations, and guidelines for managing data privacy and security.

Promote security, privacy, and compliance.

Security must be a top priority when deploying any generative AI technology. Organizations should implement measures to safeguard sensitive data and ensure compliance with regulations. This includes regular audits, training employees on data protection best practices, and utilizing secure AI platforms.

Manage Change Effectively

The success of generative AI implementation is intrinsically linked to the workforce experience. An effective change management and communication plan is vital. This plan should articulate the vision for change, prepare the organization for the transition, and empower employees to embrace the new technologies. It should also outline how the change will be managed over time, including ongoing support and training for end users.

The Role of Global Systems Integrators

Global systems integrators will be crucial in guiding organizations on their generative AI and conversational UX journey. Given that many employees may be unfamiliar with conversational UX, it's essential to measure their experiences with natural language interfaces.

Organizations should capture employee sentiment and workforce perception data to gain insights into the effectiveness of these technologies. Analyzing this data alongside service volumetrics provides objective measurements of employee experience, helping companies make informed decisions about their AI implementations.

Conclusion

As generative AI and conversational UX continue to evolve, organizations must be strategic and responsible in their implementation. By crafting a comprehensive plan that defines policies, promotes security, and manages change, enterprises can create a positive employee experience while harnessing the power of these groundbreaking technologies. The journey may be complex, but with the right approach and the support of global systems integrators, companies can unlock the full potential of generative AI, paving the way for a more productive and secure future.

Reference-

https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai-in-2023-generative-ais-breakout-year

https://www.gartner.com/en/newsroom/press-releases/2024-07-29-gartner-predicts-30-percent-of-generative-ai-projects-will-be-abandoned-after-proof-of-concept-by-end-of-2025#:~:text=At%20least%2030%25%20of%20generative,%2C%20according%20to%20Gartner%2C%20Inc.

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