“The most powerful technology not just solves problems. It encourages people to see what is possible,” Hash Bajwa says.
In Episode 6 AI activitiesBajwa considers a career spread over the United Nations, Apple, and the Obama Foundation. He shares how organizations can design AI experiences that are beyond the efficiency performance of the measurement effect: empowering employees, appearing consumers, and changing operations.
From transactions to human centers experiences
In Apple, Bajwa helped the retail store not only like a sales point, but also re -imagine as a comprehensive experience. The store itself became a canvas, blend architecture, learning programs and human interaction. Instead of focusing on completely completing transactions, Apple developed moments with the mastery, promoting creativity, and deepening the confidence between consumers and the brand.
“Performance is just the start start,” Bajwa explained. “If you stop there, you lose the opportunity to create an effect that resonates with people.”
For AI deployment businesses, the lesson is clear: measure success in important results for people. For example, a discussion in HR can work more than answers to AI questions – it can guide employees through complex work flow, can give recommendations personalized, and make sure they feel help at every step. In Customer Support, AI can guide employees immediately to the right response to the conversation with the recovery of knowledge – reducing the handle timing, while ensuring that consumers hear and feel priority.
Archetypes over isolation
Bajwa describes his creative perspective as “archetypes”: connecting diverse articles, tools and perspectives so that the result is more than the amount of its parts. In Apple, this was meant to align, engineering and learning programs to create a smooth customer experience.
In Enterprise AI, the archery is equally important. “Separate tools only give you performance. Orchoring makes you change,” Bajwa Notice. Connecting AI, forecasting analytics, and workflow automation, allows organizations to create experiences in teams and touch points that are in real -time personalized sales reps, or speeding up with AI guidance to customer support agents. The result is not just the faster task. These are a permanent, reliable and human -centralized experience in the entire organization.
Curiosity as a leading advantage
Curiosity, Bajwa, says the basis for adoption of creativity and effective AI. They remember the leading pilots of the United Nations and the Obama Foundation, where experiments revealed unexpected insights, which enables teams to adjust their strategies before rollout.
“Curiosity is not optional,” He says. “This is a currency for innovation.”
The same mentality applies to productive AI. Leaders who examine a chat or AI-powered summary in controlled pilots can quickly learn where it accelerates productivity-and where guards are needed to avoid risk.
Next border: AI experience (ax)
We have moved from the user’s experience (UX) to the developer’s experience (DX). Now comes AI experience (AX): Deliberately designing how people engage with AI.
Bajwa said that the simple text box became the most disrupted interface of the decade – but the actual jump is now happening. The AI, which is interacting with generative models, enables the interaction that the scripted system can never.
For businesses, this means creating AI experiences that expect needs, summarize complex information, and give guidance in real time – whether employees are visiting HR workflows or seeking help.
Key path
- Design with intentions: Just prefer meaningful effects on performance.
- In the Orchestrate System: Creates integrated AI permanent, expanding experiences.
- Learn with curiosity: Test, learn and repetition to avoid the adaptation of the hype.
- Focus on AI’s experience (AX): Human focus, context conversation drives.