STRATEGIC AI CONSULTING

The development of a customized AI strategy
forms the basis for a secure, efficient, and responsible deployment of
artificial intelligence in your company.

STRATEGY

AI Strategy

We identify relevant AI applications, ensure long-term scalability, plan technological implementation, and allocate the necessary resources, integrating these aspects into an
AI roadmap.

Our goal is the efficient integration of AI to secure sustainable competitive advantages.

OUR SERVICES

AI Guidelines

We support you in developing and implementing AI policies that effectively drive your AI strategy forward.

In doing so, we ensure compliance with regulatory guidelines and uphold ethical standards.

Process Optimisation

Documentation, if required, and analysis of your business processes identify AI optimization opportunities.

For relevant workflows, we design target processes, create tailored AI automation solutions, and plan their implementation.

OUR PROCESS

1. Discovery

Develop a comprehensive understanding of the company’s core objectives, challenges and current AI maturity level.

Conduct stakeholder interviews to gather insights on areas for improvement and assess the current usage of AI.
Identify key KPIs that can benefit from AI, such as efficiency, revenue, and cost reduction.

2. Assessment & Alignment

Analyze the current technological landscape and compile relevant process information.

Perform a data and process audit to evaluate data availability and quality, as well as process efficiency.
Review existing AI infrastructure and computational resources, including cloud services and machine learning models.

3. Opportunity Identification

Identify business areas and core processes where AI can drive significant efficiency gains and competitive advantages.

Design targeted AI-driven optimization projects aligned with business goals and existing processes to maximize value.
Evaluate and implement a tailored AI training program to address workforce skills gaps and support effective AI and automation adoption across the organization.

4. Project Mapping

Structure, prioritize, and compile AI initiatives and, if required,
training programs into an AI roadmap.

Create a detailed roadmap outlining priorities, timelines, and resources required for implementing AI projects and training programs.
Align the roadmap with executive leadership to define and approve the implementation process.

5. Implementation

Implement AI initiatives and training programs as outlined in
the roadmap.

Draft company-specific AI guidelines if deemed necessary in the roadmap.
Develop training materials and roll out the training program.
Implement prioritized AI automation projects as per the roadmap to achieve strategic goals.

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