AI and Data
From experiment to value creation
Companies want to move beyond the AI experimentation phase. Those investing in AI today expect not just further proof of concept, but a measurable impact on EBITDA. At ACENT, we don’t view artificial intelligence as an isolated IT project, but as a strategic engineering discipline. We bridge the gap where many fail: we translate strategic goals into robust technical architecture and define the necessary target operating model to make scaling possible in the first place. Our conviction is simple: AI only works on a clean database and in an organised structure. That’s why we deliver operational excellence – from AI-supported modernisation of your legacy systems and data assets to secure and value-adding operations.
AI is not isolated software, but a new corporate capability. We create the structures to enable it to scale.
The AI Target Operating Model is about making the organisation scalable. Companies fail less because of the technology but due to lack of orchestration between IT, business departments and compliance. We not only define the concept, but also implement your AI Target Operating Model operationally.
In doing so, we design the necessary roles, such as AI product owner, clarify the funding models between capex and opex, and establish MLOps processes. By doing so, we ensure that AI solutions leave the exploration phase and scale reliably with your business.
Our strategic assessment of the impact of AI on business models provides clarity before you invest. What Impact does AI on your target market, how does your competition respond, and what technical, process and economic values can you realise?
Our strategic assessment provides an objective analysis of the maturity of your data and quantifies the potential of AI for your company. We evaluate not only the technical feasibility, but primarily the expected impact on revenue and EBITDA. The result is a robust basis for decision-making on transformation that avoids costly failures.
We don’t just provide consulting services, we deliver technical excellence. We modernise your infrastructure and implement use cases to scale.
AI-supported data and code migration is about moving from a legacy system to an intelligent data platform. Traditional data migrations are often expensive and slow. We revolutionise this process by using generative AI, whose tools analyse and document outdated data structures, software code and their logic, and translate them into modern target formats and architectures.
This enables us to transform your technical legacy systems up to 50% faster into a clean data and code base, which is a prerequisite for any AI application.
When implementing AI use cases with Agentic AI, we turn the idea into a running system. We end the phase of pure experimentation and implement AI solutions that scale. Our focus is on Agentic AI, i.e. autonomous systems that not only analyse complex processes but also execute them independently.
Whether no-code, low-code or pro-code, we work on the platforms that are most suitable for your business. We seamlessly integrate these solutions into your existing IT landscape and ensure stable operation beyond the proof of concept, with the option for your team to be enabled to further develop and operate the use cases.
