Artificial IntelligenceAI for Business


AI solutions, training and consulting for your business.


Artificial intelligence is changing how companies work, make decisions and grow. DQ Solutions brings together vetted AI solutions, hands-on training and strategic consulting under one roof.

AI OFFERINGVetted partners, clear solutions

From initial orientation to concrete implementation


AI is not a single product but an ecosystem of tools, knowledge and strategy. DQ Solutions works with selected partners that cover different areas: training and consulting for teams and leaders, security solutions for everyday digital work, and further fields of application that are continually being added.

AI SERVICES

All solutions at a glance

Discover which offering suits your organisation.

RELEVANCE

AI is not a trend but a tool

What businesses can expect from AI today.


Generative AI, automation and intelligent assistance systems are already in use in many companies. The difference between companies that benefit from them and those that do not rarely lies in the technology itself, but in knowledge, structure and the right partner.

DQ Solutions helps you integrate AI meaningfully into existing workflows, with solutions that suit your industry and your resources.

FOR YOUR BUSINESS

AI solutions for different needs

Regardless of size and level of experience.


Whether you are looking for strategic guidance as part of management, want to ensure the secure introduction of new tools as an IT lead, or are aiming for concrete efficiency gains in day-to-day work as a specialist department: our portfolio covers different entry points and levels of maturity.

DO YOU HAVE QUESTIONS

FAQ

What is the difference between AI and generative AI?
Artificial intelligence is the umbrella term for technologies that enable machines to carry out tasks intelligently. Generative AI is a subset of this and refers to systems that independently create new content – text, images, code or summaries – based on an input.

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Is AI safe for company data?
That depends on which tools are used and how. Public AI services should not be used with confidential company data without reviewing the provider's data protection terms. Many providers offer business versions that meet stricter data protection requirements. A clear internal policy on the use of AI tools is advisable in any case.

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Does our company need an AI strategy?
Not necessarily at the outset, but yes in the medium term. An AI strategy helps to prioritise use cases, deploy resources in a targeted way and ensure that AI initiatives do not remain isolated but are integrated into existing processes. The first step is often an assessment showing where AI delivers the greatest benefit.

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How long does it take before AI is used productively in the company?
This depends heavily on the use case and on employees' level of knowledge. Initial results can often be achieved within a few weeks, for example through targeted training for a team. A broader rollout across several departments requires more planning and support.

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What does introducing AI in a company cost?
Costs vary considerably depending on scope, use case and the tools chosen. Training for individual teams is a different budget from a company-wide strategy including implementation. We'll be glad to put together an individual quote based on your enquiry.

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Do our employees need prior technical knowledge?
No. Most AI tools are designed to be usable without technical background knowledge. What matters is using them correctly – knowing how to formulate good inputs, where the limits of the tools lie and when human judgement is required. That is precisely what hands-on AI training conveys.

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How does AI differ from automation?
Automation follows fixed rules and carries out defined tasks repeatedly. AI can react more flexibly, learn from data and also handle unstructured inputs. In practice the two approaches are often combined: AI handles analysis and decision preparation, automation handles execution.

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Business × AI — Artificial intelligence in a corporate context


Artificial intelligence refers to technologies that enable machines to perform tasks that previously required human thinking: writing texts, analysing images, recognising patterns in data or preparing decisions. In a corporate context, AI is today primarily present as generative AI, that is, systems such as ChatGPT, Microsoft Copilot or Google Gemini that independently generate content based on inputs.


The practical benefit is evident in many areas. Marketing teams speed up content production. HR departments automate repetitive tasks. Customer service teams use AI-based assistants to handle enquiries faster. IT managers use AI to detect anomalies in systems earlier. What these use cases have in common is that AI does not replace people but complements and accelerates existing processes.


For companies, the question is less whether AI is relevant than how it is introduced sensibly. Three factors determine success: first, employees' knowledge in handling AI tools; second, a clear strategy defining which processes AI actually improves; and third, ensuring that data protection and internal policies are taken into account from the outset.


Companies that address these three factors benefit from AI sustainably. Those that introduce AI without structure risk isolated solutions that go unused in everyday work. The difference lies not in the technology itself but in preparation and support.


Gain access to AI expertise tailored to your industry and your organisation.