Amanda Grant has achieved what many technology leaders only dream of: successfully transforming a major enterprise software company whilst simultaneously pioneering responsible AI deployment across Britain’s most sensitive sectors. As Chief Product Officer at OneAdvanced, Grant spearheaded the organisation’s radical restructuring around eight distinct customer verticals, fundamentally reshaping how the company approaches product development and customer value creation. Her strategic vision has positioned OneAdvanced as the definitive authority on secure AI implementation, with solutions now protecting critical infrastructure from NHS 111 services to government departments handling classified information.

Speaking exclusively to The Executive Magazine, Grant reveals the methodical approach that enabled her team to solve enterprise software’s greatest challenge: delivering AI solutions that are simultaneously innovative and uncompromisingly secure. Her philosophy of transforming “feature factories” into “value creators” has become the industry standard for technology leaders seeking to harness AI’s potential without sacrificing operational integrity. Under her leadership, OneAdvanced has developed AI systems that don’t just process data—they actively save lives by identifying critical patterns in patient records and streamlining emergency response protocols. Grant’s insights offer a masterclass in strategic leadership for executives navigating the complex intersection of technological advancement and regulatory compliance.

OneAdvanced recently reorganised around eight customer sectors. How has this transformation influenced your approach to product strategy and leadership?

“Our shift to a sector-focused structure completely reshaped how we develop products and serve customers. Previously, the focus was on features; now, it’s on outcomes. By concentrating on specific sectors such as healthcare, government, and legal, we gain a deeper understanding of each sector’s unique challenges. This allows us to deliver tailored solutions that address critical business issues. For leadership, it means fostering a culture of collaboration between teams and customers, ensuring every decision is grounded in how we can provide better value.”

Your product teams have moved from being ‘feature factories’ to ‘value creators’. How does this mindset impact decisions about AI implementation?

“Being value-driven fundamentally changes the way we approach AI. Instead of adding AI for the sake of innovation, we begin with a clear question: what problem are we solving for the customer? AI is a powerful tool, but it’s not a solution in itself. We look at how it can enhance user experience, streamline operations, or provide predictive insights that wouldn’t otherwise be accessible. For example, in healthcare, AI can flag crucial data patterns in patient records, helping professionals make quicker, better-informed decisions. It’s about leveraging AI responsibly to create meaningful outcomes.”

For sectors like healthcare and government, how do you ensure your AI solutions are safe, trusted, and secure?

“With two out of three companies allowing unrestricted AI use in business while still identifying data security as a top concern, the need for a reliable solution has never been clearer. In response we created OneAdvanced AI —with a focus on safety, trust, and security.

“Our solutions are designed to support critical sectors like healthcare to government, with a focus on safeguarding sensitive information. We take a multi-layered approach to security, combining rigorous testing, regulatory compliance, and collaboration with cybersecurity experts to protect against risks like data breaches. Transparency is at the heart of our process – ensuring you retain full control over your data while benefiting from the power of AI.”

How does your team validate that an AI solution solves real customer problems before deployment?

“Validation starts from day one. We build solutions collaboratively with our customers and gather their input at every stage of development. By involving users early, we ensure the AI aligns with their needs.  We run live tests with front-line staff to identify pain points and refine functionality long before deployment. Post-launch, we continuously solicit feedback and refine solutions to ensure they thrive in real-world applications.”

With new AI regulations emerging, how does OneAdvanced balance compliance requirements with innovation?

“Regulations are a vital part of responsible AI adoption, and we welcome their evolution. Our approach is to treat compliance as a foundation for building trustworthy products, not as a limitation. We work closely with in-house experts to stay ahead of legislative changes while maintaining agility. This includes aligning closely with initiatives like the AI EU Pact, which fosters collaboration and sets a framework for ethical AI development. By integrating these standards into our processes, we ensure that every new feature we develop complies with data security laws, ethical frameworks, and global standards for responsible AI.”

How do you address unique security and trust concerns when using AI in sensitive environments, like the NHS 111 service?

“The NHS 111 service is a prime example of a sensitive ecosystem where trust is of paramount importance. Our approach begins with building explainable AI systems. This means we ensure every recommendation or decision-making process is transparent and traceable. We also provide robust fail-safes so that critical decisions always sit with human professionals, ensuring AI supports them. Additionally, we prioritise data sovereignty by ensuring that all patient data is stored and processed within the UK, complying with local regulations and safeguarding privacy. Furthermore, we adhere to stringent data governance policies and seek external auditing to maintain our customers’ trust.”

What challenges do you foresee for enterprise software providers in delivering AI that balances innovation with safety and trustworthiness?

“One of the primary challenges is ensuring AI systems are free from bias while remaining adaptable to various user-specific needs. We’re also seeing rising pressure to deliver AI solutions that scale effectively across enterprises of all sizes while keeping costs manageable. Another significant challenge is simplifying AI tools for non-technical users. Balancing these demands without compromising ethical development will define the future of our industry.”

How do you see your role as CPO evolving over the next five years as AI capabilities develop, and what new services might OneAdvanced introduce to meet emerging market needs?

“The role of the CPO will inevitably become more deeply intertwined with ethical oversight and strategic partnerships. As AI grows more sophisticated, it’s critical to ensure that ethical frameworks and customer needs guide development—not just the pace of technological progress. At OneAdvanced, we will continue expanding services that enable seamless automation, advanced predictive analytics, and smarter decision-making tools. One area of growth we’re excited about is the integration of AI into sustainability planning, helping businesses achieve their goals without compromise.”