How to get started with AI in your organization? Identify where it will deliver the highest value

Feeling that your organization should adopt artificial intelligence, but unsure where to start? First, identify the processes where AI will deliver genuine value. That is where a successful AI strategy begins.

Inspiration

Why most AI projects do not start out right today

Over the past few years, artificial intelligence has become a standard part of the corporate environment. Employees utilize tools such as ChatGPT, Microsoft Copilot, Claude, Gemini, or Cursor, vendors introduce new AI features, and corporate leadership anticipates higher productivity and more efficient operations.

Nevertheless, following their initial experiences, many organizations find that the anticipated benefits fail to materialize. The reason typically lies not in the technology itself, but in the approach companies take toward its implementation. Frequently, a specific AI tool is selected first, licenses are purchased, or user training is conducted. Only subsequently is the fundamental question addressed: in which processes can artificial intelligence deliver the greatest value to our enterprise?

Yet, this is precisely where the entire journey should begin. Only when an organization thoroughly understands its processes, priorities, and the day-to-day work of its employees can it select appropriate AI use cases and suitable technologies. The outcome is not isolated experiments, but well-considered projects with clearly defined objectives and measurable benefits.

How to identify where artificial intelligence has the highest potential

Today, most companies have more than enough ideas on where to use artificial intelligence. Sales wants to accelerate proposal preparation, HR aims to streamline recruitment, finance seeks to automate reporting, and IT addresses security and environment management. However, far more important than selecting the AI tool itself is answering the question: Which use cases deliver the highest value for our organization, and where does investment in AI truly pay off?

This is precisely where an AI Assessment assists. It is neither a technological audit nor user training, but a structured process aligning business, IT, and management perspectives. Its objective is to identify areas with the highest potential, prioritize them, and recommend the next steps. The result is not a list of generic recommendations, but a concrete roadmap that helps determine where to start and how to derive maximum value from artificial intelligence.

Do you recognize yourselves? Perhaps it is the right time to start with an AI Assessment.

If you answered yes to at least one of the following questions, it is likely the right time to take the first systematic step toward adopting artificial intelligence.

Do your employees utilize AI tools, yet each in a slightly different manner?

Some employees work with ChatGPT, while others utilize Microsoft Copilot or Claude. However, common guidelines, the sharing of experiences, and an overview of where artificial intelligence genuinely helps are lacking.

Do you want to avoid trial-and-error investments?

Licenses, implementation, and changes to workflow represent an investment. Therefore, it makes sense to first verify where artificial intelligence can deliver the fastest return.

Are you addressing data security and AI governance?

Alongside the benefits, you need assurance that the use of artificial intelligence will comply with security policies, permission management, and regulatory requirements.

Do you want to integrate AI with your processes and enterprise applications?

The greatest value is generated when artificial intelligence works with documents, data, and systems that employees use every day.

You have many ideas for leveraging AI, but are unsure where to start?

Individual departments put forward their own initiatives that make sense, yet it remains unclear which hold the greatest commercial value and which should be prioritized.

Are you looking for a suitable pilot project?

Want to adopt AI, but unsure which process is best suited for a pilot verification and where the benefits can be easily measured?

Does each department have different expectations of AI?

Sales, procurement, finance, HR, or customer support each address distinct needs. It is therefore crucial to establish shared priorities and focus on scenarios with the highest impact.

Are you looking for a clear roadmap instead of isolated experiments?

You do not simply want to test new technologies. You need to know where to start, which steps have the highest priority, and how to proceed so that investments in AI deliver measurable results.

How an AI Assessment works

Every organization is unique. They differ in their processes, systems used, ways of working, and the objectives they aim to achieve through artificial intelligence. Therefore, an AI Assessment does not follow a universal template.

The foundation consists of joint workshops with business and IT representatives, during which we focus on the daily operations of individual departments. We identify activities that are repetitive, administratively demanding, or consume an unnecessary amount of employees' time. At the same time, we assess what technologies and data the organization has available and explore opportunities for their utilization.

Based on the gathered information, we identify specific scenarios where artificial intelligence can deliver the greatest value. We evaluate not only their expected impact on operational efficiency, but also technical feasibility, implementation complexity, and organizational readiness for adoption.

The outcome is an overview of priorities, recommended pilot projects, and a roadmap for next steps. As a result, company management obtains a clear foundation for decision-making regarding where to start and how to leverage the potential of artificial intelligence most effectively.

AI Assessment as a Basis for Future Decision-Making

A successful AI Assessment does not end with a presentation or a list of generic recommendations. Its objective is to provide management with concrete groundwork for decision-making regarding the further development of artificial intelligence within the company. The output primarily consists of an overview of prioritized AI use cases, their expected benefits, an estimation of implementation complexity, and the recommended sequence of execution. It also includes a proposal for suitable pilot projects that enable the practical verification of AI benefits with minimal risk.

An important element of the AI Assessment is a roadmap of subsequent steps. This helps align business objectives, technological capabilities, and organizational readiness, creating a realistic plan for future development. Consequently, companies can invest in high-potential areas rather than randomly testing individual AI tools.

Thus, the AI Assessment represents the initial step toward the systematic adoption of artificial intelligence, ranging from clearly defined priorities to the successful execution of pilot projects.

„During workshops, we frequently discover that companies possess far more opportunities for artificial intelligence integration than they initially anticipated.

Simultaneously, however, we observe that the most significant benefits typically do not lie where customers originally expected them.

Therefore, it is essential to first comprehend the underlying processes before selecting specific AI tools.“

Markéta Kubálková

AI Consultant

FAQ

How long does an AI Assessment typically take?

It depends on the size of the organization and the scope of the departments involved. In most cases, however, it involves a few workshops and consultations supplemented by the processing of outputs, rather than a project spanning several months.

Who should participate in the AI Assessment?

Besides IT and potentially management, it is crucial to involve specific employees from selected business units who know the given processes well and work with them every day. Their experience is key to identifying scenarios with the highest potential.

Do we need to have a specific AI tool selected before initiating the AI Assessment?

No, you do not. An AI Assessment first helps determine where artificial intelligence can deliver the highest value, and only subsequently recommends the technologies best suited for the given scenarios.

How do we know that investments in AI truly pay off?

We evaluate each scenario in terms of expected benefits, implementation complexity, and business value. This enables you to focus on projects with the fastest ROI and the highest impact.

Is the AI Assessment also suitable for companies that do not use AI at all yet?

Yes. For organizations just starting with artificial intelligence, an AI Assessment represents a secure way to establish priorities and avoid trial-and-error investments.

Do we need to have data prepared in advance or perfectly cleansed?

No. Part of the AI Assessment also involves assessing data readiness and recommending any adjustments necessary for the effective utilization of AI.

What is the difference between an AI Assessment and standard AI training?

Training teaches employees how to work with AI tools. Conversely, an AI Assessment helps identify areas where artificial intelligence can deliver the greatest value to your organization and outlines the next steps.

What is the typical output of an AI Assessment?

The most common deliverable is a prioritized list of AI use cases, recommendations for suitable pilot projects, and a roadmap of subsequent steps designed to guide the strategic development of AI aligned with the organization's actual requirements.

NOT SURE WHERE TO START WITH AI?

Get in touch with us. Together, we’ll review your processes, identify opportunities to leverage AI, and propose a next steps plan tailored to your organization’s needs.

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