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What are the biggest technical or organizational hurdles we need to overcome to ship agentic AI features?

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2 Answers
  1. Adrianne Wang Martinson

    TikTok Head of Product, AI-powered Automated Services | Formerly Airbnb, Microsoft, Salesforce, Box • 5mo

    One of the biggest challenges in shipping agentic AI is deciding how much autonomy to grant the agent—and doing so in a way that is safe, predictable, and enterprise-ready. Unlike traditional AI features that primarily focus on prediction or generation, agentic systems are responsible for understanding intent, planning actions, and executing decisions. This makes autonomy a first-order product decision. Too little autonomy and the agent becomes a brittle assistant; too much autonomy and it intro ...Read More

    823 Views
  2. Tanu Mutreja
    Tanu Mutreja

    Salesforce Senior Director, Product Management | Formerly Microsoft, AWS, Salesforce, New Relic, Sun Microsystems, Netscape • 6mo

    Technically, the biggest hurdle in shipping agentic AI today is quality. Most agents work well for narrow or simple tasks, but they struggle to reliably solve complex, end-to-end use cases. This means teams need to set realistic expectations and make deliberate design and tooling choices that complement current agent limitations rather than fight them. The second major challenge is evaluation, building systems that continuously verify an agent is behaving as intended as prompts, tools, data, and ...Read More

    2,639 Views

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