How to Successfully Launch an AI Project with Say Hai

Did you know that 80% of AI implementations fail? Many projects kick off with great enthusiasm—a proof of concept, a chatbot that goes live—only to lose momentum shortly after. Why does this happen? Because the foundation is missing: no clear objectives, poor-quality or inaccessible data, lack of alignment with IT, and no connection to the people on the ground.

At Say Hai, we take a different approach. We use a proven framework that is thoughtful, process-driven, and people-focused. Curious what that looks like in practice? Read on.

1. Discover: Where Do We Stand Today?

In the Discover phase, we map out the current situation. This involves conducting employee interviews and analyzing workflows, systems, data, product information, and the IT landscape. In other words: no assumptions—just real conversations about how work is done today.

We focus on three key aspects of day-to-day operations:
- Which tasks do you want to stop doing?
- Which tasks take too long?
- Which tasks consistently remain unfinished?

Based on these insights, we define concrete deliverables, such as:
- A detailed "as-is" process analysis
- A task inventory per department identifying time-consuming, labor-intensive, or neglected activities
- An assessment of data availability and quality
- A clear overview of the organization’s current technology landscape, including systems and processes

Throughout this phase, we prioritize People, Process, and Technology—in that specific order.

Example: Case Study – AS Watson (known for brands like Kruidvat and Trekpleister)

At AS Watson, we examined the flow of calls and emails from stores to the helpdesk. What types of questions were coming in? Who was asking them? How frequently? Which issues were recurring?

During the Discover phase, we found that the majority of inquiries were procedural in nature, often related to product promotions and store automation.

2. Design: What Does the Desired Future Look Like?

In the Design phase, we define the target state and map out the new way of working.

Key questions we address include:
- What will the new process look like?
- Where will AI support or take over tasks?
- What skill shifts are required? (What will AI handle, and what remains the responsibility of people?)

We group related tasks into AI initiatives, elevating execution from an operational to a tactical level.

Next, we assess impact across multiple dimensions:
- Where can we improve speed, quality, revenue, or margins?- -- Does the initiative support broader goals, such as sustainability?
- What changes will employees experience in their day-to-day work?

We also evaluate the technological fit:
- Which technologies align best with the identified challenges?
- How does AI integrate into the current IT landscape?
- How ‘AI-ready’ is the available information, such as process and product data?

3. Implement, Deploy & Measure

During the implementation phase, we train the AI with the right knowledge and test it with a small user group. In the deployment phase, the solution goes live and is rolled out on a broader scale—always in a controlled, step-by-step manner.

But that’s just the beginning. In the measurement phase, we closely monitor performance:
- What questions are users asking the assistant?
- Which ones are being answered effectively—and which are not?
- Where does the assistant need to become smarter?

Continuous improvement is key to ensuring AI truly adds value in the long term.Vragen aan ChatGPT

A New Way of Thinking, a New Way of Working

Our approach is strongly inspired by the Challenger Sales Method—we challenge the status quo. Not AI for the sake of it, but AI where it truly makes a difference.

This requires courage, vision, and above all: structure.

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Ready to Start Your AI Journey?

Curious how your organization can take its first steps with AI? Book a no-obligation Discovery Call with one of our consultants. In this session, we’ll walk you through the process and identify which tasks are best suited for AI support.

Together, we’ll clearly define:
- Where you are today
- Where the real opportunities lie
-And how AI can create smart, meaningful value right there

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Reduitlaan 29
4814 DC Breda
The Netherlands

Call us on +31 (0)76 200 3725
Say Hai to us at hai@sayhaito.ai

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