Artificial intelligence is rapidly changing how businesses operate, but for Oluwaseun Iyiola, the bigger opportunity lies beyond simply automating individual tasks.
She is interested in a more fundamental question: How can AI be integrated into the way organisations actually work?
It is a question that sits at the centre of Iyiola’s work across business analysis, enterprise systems, digital transformation and technology. A Nigerian professional based in the United Kingdom, she has built a career around understanding how businesses, people and technology connect—and how better systems can make organisations more effective.
Today, that thinking is increasingly extending into artificial intelligence.
Iyiola is a director at Lapace Services UK Ltd, a company she has been involved with since 2022. She also brings experience in business analysis, enterprise systems and digital strategy, including teaching and supporting students in these areas at Sheffield Hallam University.
For Iyiola, the potential of AI is not simply about asking a chatbot to complete a task faster.
Many organisations already use digital tools to automate pieces of their work. The challenge, she argues through her recent research, is that important business processes can still remain fragmented, heavily manual and dependent on individual expertise.
This is the problem she explores in her 2026 research paper, “Operationalising Consulting Methodology Through Workflow Orchestration: A Design Science Study of CWORT with Governed Agentic AI Support.”
The research introduces CWORT, Consulting Workflow Orchestration Tool, a system designed to turn consulting methodology into structured, executable workflows.
Rather than allowing AI to operate without boundaries, the approach places AI within defined stages of a workflow, with governance, traceability and human oversight built into the process.
The distinction is important.
Iyiola’s approach is not about replacing professional judgement with AI. Instead, AI is positioned as a tool that can support interpretation and insight generation while people remain responsible for decisions and outcomes.
The thinking behind CWORT reflects a broader view of technology that has characterised Iyiola’s career.
Her professional experience spans business analysis, enterprise systems and digital strategy. At Sheffield Hallam University, she has also contributed as a guest lecturer in areas including Business Analysis, Enterprise Systems and Digital Strategy, helping students understand how technology platforms can support organisational objectives and transformation.
That combination of business and technology is increasingly relevant as organisations try to determine where AI actually belongs within their operations.
The question is no longer simply whether a company should use AI.
It is where AI should be used, how it should be governed, and how it can work alongside people without compromising accountability.
That is the space Iyiola is exploring.
One of the strongest themes in Iyiola’s work is the importance of keeping human judgement at the centre of AI-enabled systems.
Her CWORT research describes AI components operating under human-in-the-loop control, meaning AI can support parts of the process without taking responsibility away from the people overseeing the work.
This approach is particularly relevant for consulting and other knowledge-intensive areas where decisions can have significant organisational consequences.
Instead of treating AI as an autonomous replacement for professionals, Iyiola’s work looks at how organisations can create systems where technology handles appropriate parts of the workflow while humans retain oversight, context and accountability.
The rapid growth of generative and agentic AI has created enormous excitement around what businesses can automate.
But Iyiola’s work points toward a different conversation: building the systems that allow organisations to use AI responsibly and effectively.
Her research suggests that the future of AI-enabled business may not be defined simply by how many tasks can be automated. It may depend more on how well organisations can integrate AI into structured workflows, maintain visibility over how work is produced, and preserve human accountability.
For Iyiola, this represents an opportunity to move technology beyond being a collection of tools and towards becoming part of the architecture through which businesses operate.
As organisations continue to navigate digital transformation, her work places her among professionals exploring what that next stage could look like—where AI is not simply something businesses use, but something they deliberately design into the way they work.
And for this Nigerian technology professional, that means building smarter systems that bring together people, processes and artificial intelligence to solve real organisational problems.
