Open navigation AI Strategy & Prioritization
jambit identifies relevant AI opportunities and assesses projects in terms of their economic value contribution, technical feasibility and risks. This results in clear priorities, a robust vision and a realistic roadmap for implementation.
New AI opportunities are emerging faster than companies can implement them effectively. Use cases are proposed, initial experiments are launched and new models become available – yet not every project justifies further investment.
It is crucial to consider economic benefits, technical effort, necessary prerequisites and risks as a whole. Only then can we determine which initiatives should be pursued and which should be deliberately put on hold.
jambit combines this business perspective with engineering expertise. In this way, AI ideas are transformed into prioritised projects with realistic prospects for implementation.
We examine processes, applications and digital products, and identify tasks where AI can deliver tangible added value.
Our starting point is not the technology available, but the question of which problem needs to be solved more effectively or in a new way.
We assess AI projects based on their commercial potential, technical feasibility and risk profile.
In doing so, we take into account, amongst other things, data and systems, the effort required for integration, quality and control requirements, and the expected costs of development and operation.
We are setting out in detail the role that AI is to play in the future and the technical and operational prerequisites that need to be put in place to enable this.
This will result in a common framework for decision-making and implementation for related initiatives.
We organise prioritised projects into a clear sequence for implementation.
Dependencies and necessary preparatory work become apparent and can be incorporated into further engineering projects at an early stage.
1. Defining the business leverage
We clarify which problem is to be solved, which task is to be improved, or which new opportunity is to be tapped.
This transforms a technological idea into a concrete application context with demonstrable benefits.
2. Jointly assessing value contribution, feasibility and risks
An AI project is only viable if the benefits and feasibility align and the relevant risks are manageable.
We therefore consider technical prerequisites, integration costs and requirements regarding quality, control and operation at an early stage.
3. Prioritising the investment and implementation path
We compare projects, identify interdependencies and use this to determine the next sensible investment and implementation steps.
This ensures that resources are focused on initiatives with sound prospects.
AI Potential Analysis
Structured identification of relevant applications in processes, applications and digital products.
Use Case Assessment and Prioritization
Assessment of economic value contribution, technical feasibility, effort and risks.
AI Business Canvas
A concise framework for jointly defining the problem, value contribution, users, AI task and technical requirements of a project.
Technical Feasibility Analysis
In-depth assessment of the technical requirements for selected AI projects.
AI Vision and Implementation Model
Consolidation of prioritised initiatives and their technical and operational requirements into a common direction for development.
AI Roadmap
Prioritised next steps for validation, development and production deployment.
Some AI projects first require clarity regarding their benefits and priority. Others are already well-defined and need to be technically implemented or integrated into processes and applications.
AI Strategy & Prioritization provides the basis for deciding which projects should be pursued.
For implementation, we combine this perspective in a targeted manner with:
There are many AI ideas, but no clear priorities
Use cases are emerging in various areas and are competing for attention and resources.
Initial experiments have been carried out, but the next step is unclear
Proofs of concept (PoCs) provide insights, but have not yet been translated into a sound investment or implementation decision.
A specific AI project needs to be assessed before a major investment is made
Value contribution, technical requirements, effort and risks need to be assessed at an early stage.
Several AI initiatives require a common direction for development
Priorities, dependencies and next steps need to be consolidated into a robust vision.
Would you like to assess the potential of AI, prioritise existing initiatives, or carry out a robust evaluation of a specific project before making your next investment?
Together, we’ll clarify which projects are worth pursuing and what the next sensible steps should be.
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