Most companies no longer need to be convinced of AI’s potential. The more difficult question is how to turn that potential into something people can rely on in their daily work.

Some organisations already use Copilot, internal assistants or automated AI workflows. Others have identified promising ideas but are still deciding which use cases are worth implementing.

The challenge usually begins after the first prototype.

An assistant may work technically but provide different figures for the same business question. A search solution may find the right topic but use an outdated document version. Or a model may deliver convincing results while token consumption and operating costs make broader adoption difficult.

These are rarely isolated technology problems. They occur when business requirements, technical implementation and the underlying data are addressed separately.

That is why we developed our Power of 3 approach. 

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Three capabilities, one solution

The Power of 3 combines Business Analysis, AI Consultancy and Data Expertise from the beginning. Not as three separate phases, but as three perspectives on the same challenge.

Business Analyst defines what should be solved

The starting point is not the model. It is the process. Where is time being lost? Which decisions require too much manual preparation? Which questions cannot be answered reliably today? 

The Business Analyst turns these challenges into clearly defined and prioritised AI use cases. He establishes what the solution should achieve, who will use it and how its value will be measured.

Without this step, companies risk implementing an impressive technology without solving a relevant problem.

AI Consultant determines how it should be implemented

Once the use case is clear, it must be translated into a technically viable solution. This involves selecting suitable models, tools, retrieval methods and architectures. It also means balancing answer quality, processing speed, token usage and operating costs.

The most powerful model is not automatically the best choice. A solution must fit the task, the expected number of users and the level of accuracy required.

Good enterprise AI implementation is not about adding as much AI as possible. It is about choosing the right technology for the business problem.

Data Expert gives AI reliable data

AI can only be as trustworthy as the information it receives. 

Relevant data must be harmonised, clearly defined and made available through controlled interfaces. Access permissions, semantic definitions, document versions and validity periods must also be considered. 

Without this foundation, AI can reproduce existing inconsistencies at a much higher speed.

With it, the solution can provide answers that are consistent, traceable and appropriate for the user’s context. 

Pratical examples of the Power of 3

Our guide shows how this approach has been applied to concrete challenges, including inconsistent corporate figures, late detection of data errors, document versioning and the precise retrieval of technical or contractual information. 

See practical examples

One approach, flexible responsibilities

Power of 3 adapts to the capabilities already available within your organisation. HICO Group can cover all three areas or support one specific part, from use-case definition to AI implementation or the data foundation.

What matters is that Business Analysis, AI Consultancy and Data Expertise are connected from the start.

Your current situation is the starting point

Enterprise AI implementation does not begin with a standard tool or a predefined roadmap. It begins with a clear understanding of what is already in place, where the initiative is currently slowing down and which capabilities are still missing. 

In an initial meeting, we look at your existing AI initiatives, concrete business challenges and data foundation. Together, we identify which parts of the Power of 3 are already covered internally and where HICO Group can provide meaningful support.

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