Operational AI

Operational AI initiatives fail without adaptation

AI only works when the AI is adapted to the business, adopted by the business, and the business seamlessly integrates AI into the way it works. Some of the challenges we help our clients solve include:

• —How do we change the way we operate with AI to become sustainably faster, better, and more cost efficient?
• —How do we ensure our teams adopt and own the AI systems built for the business?
• —How do we ensure that the AI we use is native to our existing systems, and keeps adding value after the engagement ends?

How we develop and embed operational AI solutions

Operational AI engagements are different than traditional consulting engagements. They typically address smaller, more specific problems, they are higher-paced, they require more involvement from your team, and they arrive at outcomes faster. Our approach typically follows these steps:

1. 01Defining the business case of solving the specific problem, whether that means operating cheaper, faster, or better, and translating that into tangible outcomes.
2. 02Mapping the relevant processes, data, and systems to thoroughly understand daily operations before defining what a solution should be.
3. 03Developing a working prototype together with your internal team and jointly iterating towards a solution that operates on your data, solves the problem and delivers on the business case.
4. 04Building the operational AI solution with ongoing feedback and testing, embedding it into processes, and working with your team to ensure adoption that sticks.
5. 05Embedding the operational AI solution directly into existing data, systems, and workflows to run automatically as part of daily operations, enabling teams to work more efficiently beyond the engagement.

Deliverables tailored to your operations

We deliver concrete outputs at every stage of the engagement, from assessing operations to embedding operational AI into them. Here is what we deliver:

• An operational assessment mapping current processes, data, and systems, pinpointing where AI can make a measurable difference.
• A blueprint for each redesigned process, allocating tasks and steps between the teams and AI, with clear reasoning for every point AI takes over.
• An embedded operational AI solution shaped around and connected to the business's existing systems, able to execute workflows, act on real-time data and evolve through managed feedback-loops.