72 INTERVIEW With enterprise-wide increases in operational efficiency, productivity and streamlined workflows, rethinking how work can be done is becoming a business imperative. Synergy Technical’s Janna Matherly speaks with Kasturi Datta Why becoming AI-native is the way forward “ Successful AI adoption depends as much on people, processes and leadership as it does on technology” What does it mean for an organisation to be AI-native? According to Janna Matherly, AI transformation and go-to-market advisor at Synergy Technical, many companies are using AI tools but operating with the same workflows, decision-making structures and delivery models. However, AI-native organisations do more than just add AI to existing processes; they use it to rethink how they work, make decisions, capture knowledge and deliver value. They redesign business operations around the assumption that intelligence is available on demand. “It’s the difference between putting a motor on a horse drawn-carriage and building an automobile: one is an enhancement and the other is transformation,” says Matherly. Why did Synergy Technical decide now was the right time to become AI-native? A few years ago, most organisations were experimenting with AI. Today, executives are asking how AI will impact revenue, productivity, customer experience and competitive advantage. The conversation has shifted from curiosity to business outcomes as AI has become more accessible and enterprise-ready. Now AI is a business imperative, organisations need trusted partners like Synergy Technical to help them move quickly and responsibly to distance themselves from competitors. With AI adoption spreading so quickly, the sooner initiatives for staying ahead are put in place the better. How does AI change the way your teams deliver value to customers, and how do you define success in an outcomesdriven engagement? AI enables our teams to spend less time collecting information and more time creating impact. Work that once required days of manual preparation can now be completed in hours, allowing our people to carry out higher-value conversations with clients sooner. By automating repetitive tasks, our experts can focus on strategy, innovation, change management and complex business challenges. Success is measured by productivity gains, revenue growth, customer satisfaction, operational efficiency, risk reduction, and improved time-to-value. If we help customers achieve measurable business outcomes faster than they could on their own, we’ve succeeded. What’s the biggest misconception people have about AI in the workplace? The biggest misconception is that AI is primarily a technology challenge. In reality, the harder work is business transformation. Organisations struggle when workflows, governance, and employee habits haven’t evolved alongside the technology. Successful AI adoption depends as much on people,
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