Free and no obligation
AI & Automation
Where AI really helps a business.
Most businesses don't need an AI strategy, they need three or four places where AI handles a specific task better or faster than before. Those are exactly what we look for first: in customer communication, in administration, in the connections between systems. Then we build the solution so it fits into your workflows and runs day to day without supervision. Four things always matter along the way.
Assistants
AI assistants that advise customers on your website, pre-sort inquiries, or answer internal questions, trained on your content and with clear limits on what they're allowed to answer.
Automation
Recurring tasks like quote creation, data maintenance, or reporting are handled by workflows that run reliably and only involve people when a decision is needed.
Integration
AI only works if it can access your data. We connect models to CRM, store, inventory, and documents, securely, traceably, and without data ever having to leave the company.
Responsibility
Data protection, labeling requirements, and control over results are part of it from the start. You know which data goes where and who makes the final decision.
From the first use case to daily operation.
An AI project with us runs in four phases, with clear deliverables after each one. We start small and concrete, with a use case that can prove itself quickly, and only expand once it has proven itself in everyday use. You always know what the AI does, which data it uses, and what the next step costs. And because we don't separate concept from execution, the person who designed the use case is the one developing it.
01
Finding use cases.
We look at your workflows, data sources, and the areas that consume the most time, and assess where AI measurably helps and where it doesn't. Deliverable: a prioritized list with effort, benefit, and a clear starting point.
02
Building the solution.
We develop the first use case with the right models, connect it to your systems, and test it with real data and real inquiries until it works reliably and knows its limits.
03
Rollout.
We roll the solution out step by step, train the people who work with it, and monitor the first weeks closely. The switch only happens once results and feedback are right.
04
Growth.
We expand proven use cases, add new ones, and keep the systems current as models and regulations change. Most clients stay with us for this on a fixed monthly retainer.
Answers to the most important questions about AI and automation
Frequently asked questions about AI & automation
Where does AI concretely help a business?
Wherever people handle recurring tasks with clear rules: answering inquiries, evaluating documents, transferring data between systems, preparing copy and reports. The benefit is greatest when a task comes up often and costs a lot of time, not when it's spectacular.
Which AI models do you use?
The leading models from OpenAI, Anthropic (Claude), and Google (Gemini), depending on the task. We choose by quality, data protection, and cost for the specific case, and we explain the decision.
What is an AI assistant and what can it do?
An assistant answers questions based on your own content, such as product data, instructions, or internal documents. It advises customers on the website, pre-sorts inquiries, or helps employees internally. What it doesn't know, it says so, rather than guessing, that's part of the setup.
What data do you need for that?
Whatever the task requires: product data from the store, records from the CRM, documents from the archive. We prepare them together and define which data the AI may see and which it may not.
What about data protection and the AI Act?
We plan for both from the start: data minimization, encrypted processing, clear access rights, and labeling of AI content where the AI Act requires it. On request, models run so that no data leaves the company.
How long does an AI project take?
A first use case is usually in operation within four to eight weeks, more extensive automations take two to four months. We deliberately start with the case that can prove itself fastest.
What does it cost?
That depends on the use case and the integration effort. We work on an hourly basis or with fixed project packages, and we'll tell you openly in the intro call whether a project makes financial sense, even when the answer is sometimes no.
What happens when the models evolve?
That's planned for. Our solutions are built so that models can be swapped without rebuilding the integration. In ongoing operation, we regularly check whether a newer model is better or more cost-effective.
What sets DeSight Studio apart from other AI providers?
We've been using AI in our own products and projects for years and know where it helps and where it only creates overhead. And you work directly with us, from analysis to operation, with people who think marketing, software, and AI together.
● Who we are
Two founders, one standard.
Digital strategy is more than a job to me, it's a mission. For more than a decade, I've combined software engineering, international brand management, and venture building to set companies up for the future. My standard: orchestrating complex tech architectures and AI workflows so they turn into tangible business results, in client projects just as in our own products. As an author for OMR and OMT and a lecturer at the AFS+ Academy, I pass this knowledge on and help teams turn real innovation into reality.
Worked with
In the digital world, it's not just skill that counts, it's consistent delivery. Since 2015, I've been making brands visible and profitable across e-commerce, performance marketing, and social media, from positioning to cross-channel growth strategy. My focus: connecting creative concepts with data-driven campaign performance and turning that into sustainable growth. Today I lead projects that generate reliable revenue, not just reach, for our clients and with our own products.
Worked with
