Every week, new AI tools emerge, and the possibilities are growing rapidly. More and more organisations want to apply AI in a practical way, but alongside the decision of which tools to use, there is a second choice that is at least as important: how you implement AI.
There are three routes for this: developing something bespoke, integrating AI into your existing systems, or switching to a ready-made SaaS solution. In practice, a hybrid approach is also possible: partly bespoke, partly integration-based, and partly plug-and-play.
That choice may sound technical, but at its core it is strategic and organisational. It affects your long-term AI strategy, determines how much control you retain, and shapes the cost development of your AI implementation in the years ahead.
The right AI route depends on your processes, scale, and ambitions. That decision determines your supplier dependency, level of control, and cost development in the years ahead.
In this article, we explore the three routes, outline the key considerations, and explain when a combination of approaches delivers the strongest results.
Three routes for implementing AI
In practice, three main routes consistently emerge: AI as SaaS, integrating existing AI, or developing bespoke AI solutions. DTT offers all of these routes. Depending on your situation, we guide, support, and advise you from strategy through to implementation. Thanks to our broad experience with ready-made implementations, tool integrations, and fully bespoke AI solutions, we can independently assess which approach delivers the most value — and implement a hybrid approach that combines multiple routes.
Each route has its own logic and profile in terms of costs, implementation time, and control.
Purchasing a ready-made AI solution. A SaaS tool works well when an existing solution closely matches your needs and results need to become visible quickly: within one to two weeks.
- Low implementation threshold and rapid launch for clearly defined applications such as document processing, customer service, or internal productivity.
- The supplier is responsible for the ongoing development of the underlying AI model.
- Your process adapts to the tool; licence costs scale alongside users and modules.
Integrating AI into existing systems. When you already have effective software in place, the greatest value often lies in adding AI to that environment.
- The core of the process remains intact, and employees continue working within familiar systems.
- Intelligent support is introduced exactly where time, quality, or capacity gains can be achieved.
- The focus shifts towards data quality, integrations, and maintaining control over the overall ecosystem.
Developing bespoke AI solutions. When your processes or services are unique and differentiating, bespoke AI delivers the greatest value.
- Workflows, data, and user experience are fully aligned with the way your organisation operates.
- The threshold for development has lowered through modular development and AI-assisted development.
- A project can begin with a clearly defined use case and grow in phases.
DTT offers all of these routes. Depending on your situation, we guide, support, and advise you from strategy through to implementation. Thanks to our broad experience with ready-made implementations, tool integrations, and fully bespoke AI solutions, we can independently assess which approach delivers the most value — and implement a hybrid approach that combines multiple routes.
Five questions that reveal the right route
Five questions quickly clarify which route best fits your situation.
How unique are your processes? Standardised processes are often well suited to SaaS tools. Processes with unique characteristics, specific decision rules, or specialised workflow requirements usually gain more value from integration or bespoke development.
How important is speed of initial results? When speed is critical, existing tooling often provides the shortest route. If your focus is on long-term integration into the organisation, the importance of integration or bespoke development increases.
How closely must AI connect to existing systems? A standalone tool works well for a clearly defined use case. Once AI becomes intertwined with daily operations, data, and teams, stronger governance and control become necessary.
How dependent do you want to be on a supplier? With SaaS tools, pricing, functionality, and the roadmap evolve according to the supplier. With bespoke development, you retain control over direction and costs. Integration sits somewhere in between, with shared responsibility.
Where does your competitive advantage lie? For generic processes, a standard tool can be an excellent starting point. Once your competitive advantage lies in operations, service, or workflow, control over the AI solution becomes increasingly important.
What do you gain in return?
Each route differs in the balance between control, costs, and scalability. The choice determines how your position develops in the coming years.
| Aspect | Purchasing AI | AI integrations | Bespoke AI |
|---|---|---|---|
| Implementation time | Fast: live within days or weeks | Medium-term: dependent on integrations | Longer: can be built in phases |
| Costs | Variable: licences scale with usage | Mixed: licence and development costs | Investment: in your own sustainable solution |
| Alignment with processes | Limited: the tool dictates the workflow | Strong: AI aligns with existing workflows | Perfect: fully tailored to your operations |
| Control | Limited: supplier controls roadmap and pricing | Shared: control divided between suppliers | Complete: you determine direction and functionality |
| Scalability | Limited: constrained by the package | Strong: grows alongside existing systems | Perfect: designed around your scale |
For many clients, the greatest value comes from a combination of approaches: standard solutions where possible, integration where processes require it, and bespoke development where differentiation matters most.
How an AI implementation project unfolds
A well-considered AI implementation rarely begins with a tool. DTT guides clients through four stages, each with clear interim results and manageable decisions.
1. Exploring processes and opportunities. Together, we identify where time, quality, or capacity gains can be achieved and which processes are suitable for an initial AI application.
2. Evaluating the route. We advise on purchasing, integrating, or bespoke development based on your processes, scale, and competitive advantage, including an honest assessment of costs, implementation time, and supplier dependency.
3. Design and implementation. We focus on a practical design and phased development, allowing you to see interim results while keeping the project predictable in terms of time and costs.
4. Adoption, maintenance, and further development. We ensure teams are properly supported during the transition and that the solution remains stable after launch. From that point onwards, we also support ongoing maintenance and future growth.
A hybrid approach is often the strongest option
In practice, we frequently advise clients to combine multiple routes. Standard AI models are highly efficient for analysis and content generation. Proprietary workflows, business logic, and integrations provide control over the areas that matter most. Combining both keeps the foundation affordable while allowing you to retain control where value is created.
A hybrid approach also helps distribute investments more effectively. You build specifically where control, scale, and process alignment make the difference, while using existing solutions wherever efficiency is the priority. Because DTT actively works across all routes, we can independently assess which approach delivers the most value for each component.
Ready to choose the right AI route?
The decision between purchasing an AI solution, integrating AI, or developing bespoke AI determines how your processes, people, and costs will evolve in the years ahead. A carefully considered route delivers speed where possible and control where necessary.
Would you like to explore which AI route is the logical choice for your situation? Contact us, DTT would be happy to think along with you in a no-obligation conversation, offering honest advice tailored to your processes, ambitions, and planning.
