How To Build AI Tools That Are Useful, Intuitive And Trusted

InnovationHow To Build AI Tools That Are Useful, Intuitive And TrustedByExpert Panel®,Forbes Councils Member.for Forbes Technology CouncilCOUNCIL POSTExpertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. | Membership (fee-based)Jun 05, 2026, 01:15pm EDT gettyAs AI becomes embedded in everything from productivity software to enterprise platforms, user experience is becoming a key differentiator. Even powerful capabilities can fall short if users don’t understand how a tool works, trust its outputs, or know when and how to rely on it.For product teams, the challenge is designing AI experiences that feel intuitive, transparent and genuinely useful without overwhelming users with complexity. Below, members of Forbes Technology Council share the user experience principles they believe are essential for making AI tools more practical, trustworthy and effective in everyday work.Design For LatencyIn agentic systems, latency is structural. Every reasoning step is an LLM call, often chained, so the UX cannot pretend the system is fast. Design for latency, not against it. Show what step the agent is on, expose the long tail honestly, and let users move on while it works, then notify them when it’s done. Reliability comes from predictable progress, not raw speed. - Gaurav Chodwadia, WalmartCapture SME Knowledge In A Central DatabaseAI boosts velocity but sometimes picks poor designs. Subject matter experts fix this through prompting, but that knowledge stays local. To scale, coding agents should collect these insights and save them to a central company database. By connecting this shared knowledge to skills and protocols, teams ensure the best, most frequent choices are reused. This turns individual expertise into a permanent organizational asset. - Sandeep Pal, Salesforce Inc.Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?Explain AI Decisions At T...