Amy Lokey on Designing Enterprise AI and the Future of UX
Design BetterMay 13, 202531 min119 views
33 connectionsΒ·40 entities in this videoβTransitioning to Enterprise AI Design
- π Amy Lokey shares her career journey from consumer products at Yahoo and LinkedIn to leading UX for Google Workspace and now as Chief Experience Officer at ServiceNow.
- π‘ Her passion for helping people achieve professional goals and financial stability has been a consistent thread, evolving towards enterprise-level solutions.
- π― ServiceNow's platform approach allows for diverse solutions across employee experience, customer service, and technology products, with a focus on intelligent, AI-driven interfaces.
Navigating Rapid AI Development
- π§ Leading a global team of nearly a thousand, Amy emphasizes the importance of strong leadership relationships and constant communication to navigate the fast-paced AI market.
- π€ A hub-and-spoke model is used for enablement, disseminating information and patterns both internally to employees and externally to partners and customers.
- β οΈ The complexity and pace of AI development require maintaining customer trust through safe, secure, and ethical product delivery.
Generative vs. Agentic AI in Enterprise
- π€ ServiceNow has long invested in AI, with generative AI initially applied to content-based tasks like summarizing cases and generating responses.
- β‘ Agentic AI builds on generative skills, automating triggers to execute tasks. This has evolved to AI orchestrators managing teams of agents for complex processes.
- π€ Integrations with platforms like Microsoft Copilot are key, leveraging ServiceNow's existing infrastructure for seamless agent-to-agent collaboration across systems.
Enterprise AI: Balancing Innovation and Risk
- π¬ Designing for enterprise requires robust testing due to the dynamic unpredictability of AI, including potential hallucinations.
- π‘ Transparency with end-users is crucial, emphasizing a "trust but verify" approach with AI-driven features.
- β Realistic customer data is used for internal testing, complemented by an early adoption methodology with willing customers in an "innovation lab."
The Evolving Role of UX Research
- π User research at ServiceNow has evolved from foundational product-market fit research to a mature focus on fundamental usability, measured by metrics like System Usability Score (SUS) and "UX Quality."
- π Significant improvements in product usability, exemplified by the Field Service Management product, correlate directly with increased adoption and revenue.
- π οΈ Internal tooling tracks insights from discovery to product execution, creating accountability and informing executive reviews through a "UX health scorecard."
The Future of Design and Development Roles
- π‘ AI is viewed as an expansive tool for creatives, enabling rapid ideation and exploration without the limitations of physical construction.
- π The future designer/developer role will likely shift towards being a "builder" or "creator," focusing on vision, human needs, and articulating ideas rather than deep expertise in specific tools.
- π¬ Communication and the ability to rationalize and articulate ideas remain critical, whether for AI models or human teams, to ensure high-quality products that meet human needs.
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Whatβs Discussed
Enterprise AIGenerative AIAgentic AIAI OrchestrationUser Experience (UX)UX ResearchServiceNowMicrosoft CopilotProduct DesignAI EthicsCustomer ExperienceDigital TransformationHuman-Computer InteractionInnovation
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