horoz.aiAI consulting
We identify where AI creates real value in your business and turn it into a prioritized, practical roadmap. The goal is to start in the right place instead of spending the budget on trial and error.
What it covers
- Listening to your processes and your teams’ daily work to find the use cases where AI can help
- Assessing the data each use case needs, its current state and any access constraints
- Prioritizing use cases by expected benefit, effort and risk
- Saying plainly whether an off-the-shelf tool, a custom build or a simple automation is enough
- Preparing a practical roadmap with measurable goals for the first step
When it is the right starting point
- You want to use AI but are not sure where to start
- You have several ideas and need to decide which one to invest in
- A prototype did not deliver what you expected and you want to understand why
How we work
Discovery conversations
We listen to your goals, your processes and your teams’ daily work. Together we look at which tasks take time, where mistakes happen and what information decisions rely on, and we collect the problems AI could solve into a list.
Data and risk assessment
For every idea on the list we look at the data it needs, where that data lives and how well organized it is. We also talk openly from the start about risks such as data privacy, access constraints and the effect a wrong output would have on your business.
Prioritization
We compare the use cases by expected benefit, effort and risk. For some ideas an off-the-shelf tool is enough, some need a custom build, and some are better left to wait for now. We share this assessment together with the reasoning behind it.
Reviewing the findings together
We go through the assessment with the decision makers and the teams involved. We answer questions, discuss constraints and expectations that may have been missed, and make sure the priorities are clear and well reasoned for everyone. That way the roadmap does not stay a document; it becomes a plan the teams agree on.
Roadmap and first step
We turn the prioritized use cases into a practical roadmap with measurable goals for the first step. If you wish, we test that first step on real data with a small prototype and stay with you through development and rollout.
What it can look like in practice
Example scenario: Picture a mid-sized business with customer service, sales and accounting teams. Management wants to use AI, but every team brings a different idea: one suggests a chat assistant, another wants documents read automatically, a third proposes sales forecasts. In the discovery conversations we clarify which problem each idea solves and what data it needs. At the end of the assessment, the document reading work might come out as the first step because its data is ready and its benefit is clear, while the forecasting idea might wait until the data is in order. This is not a real client story; it is a hypothetical example that shows how the consulting process works.
Frequently asked questions
What does AI consulting cover?
It covers finding where AI can create real value in your business, assessing the data and risks behind each idea, prioritizing the use cases and turning them into a practical roadmap. The aim is not just to leave a report behind but to help you make a clear decision about where to start.
Do we need a technical team for consulting?
No. In discovery, what we need most are the people who know your processes and your business well. If you have a technical team, we involve them too, and we write the roadmap in language your team can understand and take over.
Do you always recommend AI?
No. We start every project from the business goal, not from the technology. Sometimes the best answer is a large language model, sometimes a simple automation, and sometimes using an off-the-shelf tool the right way. We tell you plainly which one fits.
Will we need to share our data?
For the assessment it is often enough to see how the data is structured and a few examples. We access only the data the project needs and we protect it with care. If some data cannot be shared, we discuss that up front and base the assessment on those constraints.
What do we have at the end of the consulting work?
A list of prioritized use cases, an assessment of the data and risks for each of them, and a practical roadmap with measurable goals for the first step. You can carry out the roadmap with your own team or continue with us into development.
Can we still start if a prototype we tried did not work?
Yes. A prototype that did not deliver what you expected often carries valuable information. We look together at whether the right problem was chosen, whether the data was sufficient and whether the approach suited the task, and we set out clearly what needs to change.
Other services to consider
Process automation
If you already know which repetitive task to improve, explore the steps for putting a document or data workflow into practice.
LLM integration and software development
If the AI feature for your product is already defined, explore model selection, development and deployment.
Let us talk about what you need
Describe your situation in a few sentences and we will work out the right next step together.