In digital twin projects, value is rarely blocked by ambition. It is blocked by execution.
Data clarity or data reality?
The work that determines whether a twin becomes useful quickly, or stalls early, often happens before anyone sees a polished interface. It starts with data reality, clear expectations and the ability to translate between customer needs and internal delivery.
This is where Maisa Monteiro Da Cunha, Delivery Lead, operates at Aize.
After joining in May 2025 from an oil and gas background, Maisa brought practical experience of asset complexity and how information actually moves across teams, tools, and contractors. That context is especially relevant in industrial environments, where small gaps in documentation, inconsistencies and unclear ownership can slow down decisions. In her role, the starting point is rarely "ideal data". It is what the customer already has, and what can be made usable with structure and focus.
A key part of early delivery is mapping the customer's data landscape. This means understanding where the information lives, what quality looks like, and how far the organisation has come in its digitalisation journey. Getting this right upfront affects everything that follows: how quickly Aize can configure the twin, how realisable the results become, and how confidently users adopt it. Because at the end of this discovery journey, this is ultimately about unlocking value for the customer as soon as possible.
From here onwards, delivery becomes a clarity exercise. Settings expectations early is not just a customer experience improvement. It protects speed. When both sides align on processes, inputs and what "good" looks like, internal teams avoid surprise rework, and customers engage faster because they understand what is needed and why it matters.
Maisa points to a consistent pattern in how Aize delivers: people step in where needed, even when it is outside a formal role description. That matters because delivery rarely fits neatly outside one function. The fastest progress happens when teams work as one group around the customer problem.
Looking ahead, Maisa connects personal development to where Aize is going next. As the company expands beyond its historical focus on FPSOs and platforms into areas like subsea, onshore facilities, and renewables, delivery success will depend on applying the same fundamental approach across new contexts: transparent data understanding and a clear process.
The common theme here is simple. Digital twin value is created by turning complexity into clarity. When teams can see what’s happening, they move faster, align sooner, and deliver better decisions with less friction.
To learn more about Maisa's journey, have a look at this video below:
To learn more about how Aize can streamline your day-to-day workflows, please reach out to us here.