03 · Workflow Integration
Integrating generative AI
directly into systems
We do not only help with producing images and videos, we also build the technical environment behind them. Custom AI workflows are integrated into existing systems and made usable for employees through a simple interface.
Custom AI workflows
We develop reproducible workflows for image and video applications that are tailored to your company's requirements and can be operated, tested and developed further in a controlled way.
- Image and video generation
- Upscaling, retouching and variants
- Consistent digital characters
- Documented and reproducible processes
Infrastructure and interface
The workflows run on a controlled infrastructure and are made accessible through a user-friendly enterprise platform. Employees can use generative AI through clearly defined interfaces without having to deal with the technical complexity in the background.
- Own infrastructure or a suitable EU cloud
- Simple interface for specialist users
- Roles and access rights
- Controllable data processing and resources
Connecting existing systems
We connect the AI solution with existing applications such as DAM, PIM, CMS, shops or internal platforms. Generated content can then be passed directly into existing processes and processed further there.
- APIs and webhooks
- Passing on metadata
- Approval and versioning processes
- Integration together with your IT
Process
How we work
01 Requirements workshop
02 Architecture & prototype
03 Workflow development
04 Rollout, training & operation
Frequently asked questions
Which systems can be connected?
DAM, PIM, CMS, shops and internal platforms, provided they offer an interface such as APIs or webhooks. What is possible in your case we check in the requirements workshop. More under Integrating generative AI into existing systems.
Where do the workflows run and where is data processed?
On controlled infrastructure: your own or a suitable EU cloud. Data processing and resources stay controllable. The options are described in Data-sovereign generative AI.
Does our staff need technical knowledge?
No. They use generative AI through clearly defined interfaces, without having to deal with the technical complexity behind them.
What does an integration project look like?
Four steps: requirements workshop, architecture and prototype, workflow development, then rollout with training and operation.
Can approvals and roles be taken into account?
Yes. Roles, access rights as well as approval and versioning processes are part of the implementation, as is the handover of metadata.
Related topics
More detail on this area.
Generative AI for enterprise
An overview for decision makers: areas of use, the path from pilot to production, data, governance and the role of Trickhouse.
View topicData-sovereign generative AI
External services, rented EU infrastructure or your own hardware: operating models, open-weight models and access control at a glance.
View topicIntegrating generative AI into existing systems
DAM, PIM, CMS, APIs and approvals: how generative AI workflows become part of existing processes.
View topicEnterprise image generation
Brand consistency, variants, approvals and scalable production: image generation as a process rather than a single picture.
View topic
Ready for your next project?
Tell us briefly what you want to achieve with generative AI. We advise you on content production, digital twins, AI workflows and integration, and get back to you within 24 hours with an initial assessment.