We identify which user problems can be solved better or in a new way using AI, and what role AI should play within the product.
What matters is not the technically feasible function, but the specific added value it provides in the context of use.
AI IN APPLICATIONS
Integrating AI effectively into digital applications
jambit develops AI features for existing and new digital products and applications, and integrates them with UX, software architecture and existing systems. In this way, AI becomes a productive component of a fully functional digital product.
Expanding existing products and developing new AI applications
AI can enhance digital products with capabilities that are difficult or costly to implement using traditional software – such as understanding, generating, structuring or evaluating information.
However, the added value does not come from the model alone. AI functionality, user interaction, software logic, data and existing systems must all work together seamlessly.
jambit combines AI engineering with software engineering and develops applications in such a way that new AI functions are seamlessly integrated into the existing product and system environment.
How we make AI an integral part of a digital product
Aligning AI functions with user problems
Shaping experience and architecture together
AI systems behave differently from traditional software. This changes both the technical architecture and the way users interact with them.
We therefore design AI functionality, UX and software architecture together.
Developing AI and software
We integrate suitable models and AI services and develop the bespoke software components required for the digital product.
AI and rule-based software logic are combined where there are differing requirements for flexibility and reproducible behaviour.
Integrating applications into existing systems
Production-ready AI applications require access to relevant data, services and existing systems.
We integrate front-end, back-end, APIs and data sources, and take into account evaluation and production deployment right from the start.
How an AI feature becomes a compelling digital product
1. Defining the user’s task and added value
The starting point is the task that a user wishes to accomplish with the product.
We determine where AI creates relevant added value and where traditional software remains the better solution.
2. Integrating AI, software and user experience
Model behaviour, software logic and user interaction influence one another.
We design these elements together, taking into account requirements for quality, speed, control and comprehensibility.
3. Take integration and productive use into account right from the start
An AI feature only delivers lasting value once it is integrated into the actual product.
Data access, interfaces, evaluation and technical operational requirements are therefore incorporated directly into the architecture and development process.
An overview of service modules
AI Product & Application Design
Defining useful AI functions and their role in existing or new digital products.
AI UX & Interaction Design
Designing user interactions that take the possibilities and limitations of AI into account in a way that is easy to understand.
AI Application Architecture
Technical architecture for the interaction between AI components, software logic and existing systems.
Model & AI Service Integration
Integration of suitable models and AI services into the specific application.
Custom Software Development
Development of the required front-end, back-end and application logic.
Data, API & System Integration
Integration of relevant data sources, interfaces and existing systems.
Evaluation & Testing
Assessment of AI behaviour and the quality of results in a specific usage context.
Integrate AI where it improves the digital product
With AI in Applications, the focus is on the digital product or the specific application.
We combine AI functionality, user experience and software engineering to create a solution that can be productively integrated into the existing system landscape.
Depending on the project, we supplement this remit with:
When AI is useful in applications
An existing application is to be enhanced with AI capabilities
There is a specific product or system, and the question is where AI can provide relevant added value.
An AI prototype is to become part of a real product
The feature works in principle, but needs to be integrated into the UX, software architecture and existing systems.
A new AI-powered application is to be developed
A digital product or service is to be designed and implemented with AI capabilities from the outset.
AI functions have so far existed in isolation from the existing software
Models or services are already in use, but have not yet been properly integrated into the application system.
A software project aims to make targeted use of AI’s potential
AI is not the primary reason for the project, but it can substantially improve the digital product in specific areas.
Next step – integrating AI into your digital product
Would you like to enhance an existing application with AI, integrate a prototype into production, or develop a new AI-powered product?
Together, we’ll work out where AI creates the greatest added value and how the feature can be integrated into your product in a technically sound way.
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