Nisos Innovation, Technology & Agility

How is your team integrating AI and ML into the product development process, and what specific improvements have you seen as a result?

One of the fastest ways to get value from AI and ML is by automating repeatable use cases that traditionally consumed significant manual effort. Leveraging LLMs, we’re driving automation at unprecedented speed and scale, allowing our teams to streamline workflows and reduce human intervention. These LLMs more quickly produce tailored reports, summaries and data insights with a level of consistency and clarity that scales effortlessly across our product lines. As a result, we’ve seen marked improvements in delivery times and an increase in our capacity to handle complex, high-volume tasks — all while maintaining the human touch our customers expect.

What strategies are you employing to ensure that your systems and processes keep up with the rapid advancements in AI and ML?

We’ve implemented a modular and scalable architecture, allowing us to easily integrate new AI and ML models as they evolve without overhauling our existing infrastructure. Regular audits of our AI pipelines ensure that both the models and the data these pipelines rely on are optimized for accuracy and efficiency. Our dynamic and agile framework ensures we can innovate rapidly while maintaining stability and operational excellence.

Can you share some examples of how AI and ML has directly contributed to enhancing your product line or accelerating time to market?

As part of our roadmap and product vision, we’re building our transformative AI and ML foundations to embed AI and ML technologies that put the power of our world-class analytic tradecraft directly into the hands of our clients. Through the use of sophisticated ML models, we will analyze massive datasets to uncover hidden patterns, emerging threats and potential vulnerabilities, providing clients with actionable insights in real time. 

Our AI-powered platforms will not only automate the detection and monitoring processes, but also deliver tailored risk assessments and predictive analytics that build upon the expertise of our in-house analysts. This would empower our clients to independently navigate complex security landscapes with the insight and precision that our own teams employ, enabling faster, smarter decisions.

What project are you most excited to work on in 2025, and what is particularly compelling about this work for you?

As Nisos’ product strategy evolves coming into 2025, so too will its software offerings. As a result, the Belfast engineering team has started greenfield development of an exciting, new client-facing application. Given Nisos’ mission is to protect people and organizations from harm, working on a technology that empowers clients to keep their teams and businesses safe is incredibly rewarding. It’s also exciting and somewhat rare to be a part of an initial, holistic system design. From using the latest tools and programs and choosing the appropriate frameworks, libraries and technologies to construct our stack to architecting, scoping and implementation, it all provides really great learning opportunities for the entire team.

AI is making waves in every industry, and the novel way in which our new system integrates it is particularly compelling for me. Working smarter, not harder, has never been more applicable in software development, and AI is what’s currently driving home that sentiment.

What does the roadmap for this project look like? Who will you collaborate with, and what challenges will you need to overcome in the process?

Like most projects, ours is split into distinct phases, each with its own deliverable feature sets, and our amazing engineering team works through liminal milestones in bi-weekly sprints until all phases are complete. Nisos has always been client-driven, and so they’re our primary touchpoint. Internally, the collaboration extends right across the board: engineering, QA and DevOps; product and design; analysts and vendors; HR and legal; sales and marketing; and all the way to our executive leadership team. The breadth of collaboration brings with it many cross-organizational meetings, and so ensuring efficient meeting schedules, being mindful of others’ time, and, in general, a healthy balance of pragmatism will be key to meeting project deliverables.

What in your past projects, education or work history best prepares you to tackle this project? What do you hope to learn from this work to apply in the future?

During my career, I’ve worked for startups and Fortune 500s alike and have had the pleasure of sharing insights and working with some very talented people on all manner of different domain-specific internal and client-facing applications. Regardless of the environment, I always come back to the same four pillars of what I deem critical to software development: scalability, robustness, security and internationalization. Keeping these in mind during each phase of development will provide us with a strong foundation, ease of maintainability and continued extensibility as the new project moves forward. Our experience of building an important, cutting-edge technology from the ground up as well as the teamwork and lessons learned will serve me and my teams at Nisos and in our future careers.