AI integration: Upgrade your solution with AI
AI speeds up processes, increases customer value and enables new forms of interaction. What was experimental or costly just a few years ago is now increasingly becoming the norm – and therefore the expectation of users.
Perhaps you recognise this: your platform works well, but interactions are declining, visitors are returning less often, or users are switching to other channels. With the rapid rise of AI, user expectations are changing just as quickly. They have become accustomed to immediate answers, personalised support, and smart suggestions – and they expect the same from your digital environment.
Moving with the times is essential to remain relevant. You don't have to start from scratch: we enhance existing digital solutions with AI integration in a targeted and sustainable way.
On this page, you can read how we do that.
We are happy to help you with a consultation
How AI integration breaks conventions
The examples below show how commonly used components of digital products are fundamentally changing through the use of AI. What used to be standard is now being reimagined in ways that are smarter, more personalised and more efficient.
| Functionality | Conventional implementation | AI-driven innovation |
|---|---|---|
| Finding information | Search bar with filters | AI that understands questions and provides immediate, targeted answers |
| Displaying content | The same content for everyone | Personalised content based on behaviour and preferences |
| Testing knowledge | Standard testing moment | Adaptive feedback and tailored learning advice |
| Customer service | FAQ or email contact | Smart assistant that provides immediate help within the application |
| Process support | Manual entry and verification | Automatic suggestions and intelligent data processing |
Using AI integration helps you to...
Get more out of your existing digital solution without having to rebuild it
Demonstrably increase conversion, engagement and usage
Respond more quickly to changing behaviour and rising user expectations
Strengthen your digital proposition and remain distinctive in a competitive market
How your solution evolves
01
Analysis of the existing solution
We analyse how your platform is set up, how it is used and where opportunities or frictions arise. This allows us to pinpoint where targeted improvements are possible – and where AI actually offers added value.
02
Determining concrete AI use cases
Together, we translate ambitions and bottlenecks into feasible applications. We determine where AI can accelerate processes, better support users or unlock new insights – in line with your context.
03
Design and phased integration
We design new AI functionality within the existing user experience and architecture. AI integration is carried out step by step to maintain stability, performance and continuity.
04
Validating, measuring and further developing
We test in practice, measure impact and optimise based on usage and data. In this way, the solution develops in a controlled manner in line with user behaviour and technological developments.
What you can expect
A concrete and substantiated action plan for AI integration
After the analysis, we translate insights into a clear and feasible action plan. This plan outlines where AI has a direct impact, which use cases are prioritised, and what this yields in terms of efficiency, engagement, and growth. No abstract innovation, but a concrete plan with clear choices, phasing, and expected business impact.
Measurable impact on usage and results
After implementation, we provide insight into the benefits of using AI. These include higher and more in-depth interactions, fewer process failures, lower support pressure and higher conversion rates. In addition, AI strengthens your distinctive character: users experience a smarter, more personalised and future-oriented digital environment.
Frequently asked questions
What does AI mean?
AI stands for Artificial Intelligence. Artificial Intelligence means that a machine can master human skills. Think reasoning, learning and creativity.
What can Artificial Intelligence be used for?
Artificial Intelligence can be used for a variety of purposes. For a long time, Artificial Intelligence has been used for digital solutions, think chatbot or automation software. Since 2023, development in the field of AI has really taken off and more and more applications are available to consumers, such as chatGPT and image generation applications. By using AI applications in combination with other digital tools, a variety of solutions can be created for increased productivity, more efficient processes, better service and more valuable offerings. At DTT, we are happy to help you determine what opportunities exist to move your business forward with the use of Artificial Intelligence.
What is AI integration?
AI integration is the targeted addition of AI functionality to an existing digital solution, without the need for a complete rebuild. It describes:
- Where AI has the most impact within your platform
- Which use cases are prioritised
- How the integration will take place in phases
- What business impact is expected
AI integration helps organisations to apply AI strategically, sustainably and in a results-oriented manner within their existing digital environment.
Is my existing platform suitable for AI integration?
In most cases: yes. AI can often be integrated into an existing digital solution without having to rebuild it.
Whether your platform is suitable depends on a number of factors:
- Technical architecture – Is the platform modular? Are APIs available?
- Data availability – Is there sufficient (high-quality) data to make AI valuable?
- Scalability and performance – Can the infrastructure handle expansion?
- Purpose and use case – Where should AI add concrete value?
Important to know: AI integration does not automatically mean a complete rebuild. In many cases, AI can be added as a smart layer on top of or alongside existing functionality, for example for:
- Personalised content
- Smart search or response functionality
- Process automation
- An AI assistant within the application
During an analysis phase, we assess the current situation and determine where AI integration will deliver the greatest return, both technically and strategically.
Does my digital solution need to be completely revamped in order to apply AI integration?
No. In most cases, a complete overhaul is not necessary.
AI can often be integrated into your existing platform in stages. Think of it as a smart layer on top of existing functionality, without having to replace the basic architecture.
AI is added, for example, for:
- Smarter search and answer functionality
- Personalised content
- Automatic suggestions or data processing
- An AI assistant within the application
Only when the technical basis is severely outdated or has limited scalability may (partial) modernisation be necessary. But that is the exception rather than the rule.
The focus is on: targeted reinforcement of what is already in place, with minimal disruption and maximum impact.
What concrete benefits does AI integration offer my organisation?
The use of AI integration delivers measurable improvements in returns, user experience and efficiency. Specifically, this could mean:
Greater returns from your existing platform
- Higher conversion rates
- More repeat visits
- Longer and deeper interactions
More efficient processes
- Less manual input and checking
- Lower support pressure
- Faster handling of questions and requests
Stronger user experience
- Direct, relevant answers
- Personalised content and suggestions
- Smart support within the application
Strategic advantage
- Faster response to changing behaviour
- Distinctive capability in a competitive market
- Future-proof digital proposition
AI is therefore a targeted enhancement of your digital solution with demonstrable business impact.
How quickly are the results of AI integration visible?
That depends on the chosen use case and the complexity of your platform. In many cases, the first results are visible within a few weeks to months.
What determines the speed?
- Type of AI application – A smart search function or AI assistant often delivers visible results faster than complex process automation.
- Availability of data – The better the data, the faster AI can deliver value.
- Technical integration – A modern, scalable architecture speeds up implementation.
- Phased approach – Starting with one clear use case creates a measurable impact quickly.
Improvements are often seen at an early stage in:
- Engagement and interaction
- Conversion or task completion
- Reduction in support queries
Continuous measurement and optimisation further increase the effect. AI is not a one-off implementation, but a controlled development with increasingly visible returns.
Full service.
For all things digital.
Concept, design, strategy, development, maintenance, growth.We do it all, with one team in the center of Amsterdam.In consultation, we tailor our digital services to the needs and wishes of our clients.Please feel free to contact us for a customized consultation. We are happy to help you digitally advance.
