Bringing practical AI into leadership conversations at scale in the Gulf region
Applying Consulting Rigour to AI-Enabled Workflows
How GenFutures Lab worked with a leading transformation consultancy to explore practical, responsible AI-enabled ways of working at scale
As AI becomes more embedded in day-to-day delivery, many organisations are looking at how proven standards can be applied to internal AI-enabled workflows in ways that are practical, responsible, and aligned with client expectations.
That was the context for GenFutures Lab’s work with a leading transformation consultancy.
Over the first phase of the project, we worked with the consultancy through a series of in-person working sessions designed to explore how established consulting rigour can be applied internally to emerging AI-enabled workflows. In total, the first phase of the rollout touched around 300 people across multiple functions, with the in-person sessions involving 120 staff, creating space for teams to test, discuss, and refine how AI could enhance internal day-to-day workflows.
The focus was not AI for its own sake. It was about how AI can be used in ways that fit the judgement, validation, quality expectations, and delivery discipline that strong consulting teams already bring to client work.
The opportunity
The consultancy already brings strong consulting discipline to its client work. As AI becomes a growing part of how modern teams think, analyse, and deliver, the opportunity was to explore how those existing strengths translate into even more AI-enabled workflows.
For organisations in this position, the question is not whether standards matter. It is how proven review habits, delivery expectations, and ways of working can be carried into new contexts at pace.
Our approach
GenFutures Lab designed and facilitated a series of practical working sessions focused on helping teams apply AI in ways that were useful, grounded, and relevant to their day-to-day roles. We followed a blended approach including online modules and in-person workshops.
- structure outputs more effectively
- apply AI excellence and leadership to internal tasks and workflows
- move from one-off solutions to repeatable habits that become part of day-to-day ways of working
- support key tasks across functions when it comes to AI
The emphasis throughout was on practical application and on taking AI excellence to the next level. Sessions were interactive, hands-on, and directly relevant to the types of work participants were already doing.
Participant feedback
Feedback from attendees highlighted both the facilitation style and the practical value of the sessions.
“Thought the facilitators were friendly and approachable, they made the session enjoyable.” Participant, Programme Leadership
“Fantastic facilitation and engagement with everyone throughout.” Participant, Programme Delivery
“That I can use what I’ve learnt immediately in what I need to do day-to-day.” Participant, Cloud Consultant
“I liked the way the modules and the associated activities gave us a lot of hands-on time to practise what we learnt. The facilitators were very friendly and professional and had covered the most important topics with sufficient time for hands-on exposure.” Participant, Programme Leadership
Outcomes from the first phase
The in-person workshops that we ran created momentum across a broad cross-section of the organisation, reaching around 120 people from different functions.
- motivated teams eager to take their leadership in AI to the next level
- cross-functional use cases and practical AI applications a shared prompt library
- repeatable AI-enabled workflows and ways of working
- positive engagement across functions, with participants highlighting both relevance and immediate applicability
- a real appetite for internal knowledge-sharing and continued collaboration amongst teams
What this case study shows
This collaboration highlights an important shift in the market. For many organisations, the next stage of AI adoption is not about discovering the tools. It is about applying existing strengths, such as rigour, judgement, consistency, and delivery discipline, to AI-enabled workflows.
That is where GenFutures Lab does its best work: helping organisations move from interest to practical application in ways that are aligned with how teams actually operate.
