AI in Action
NEU
Wie identifizieren Sie Ihr
KI-Potenzial in Ihrem Unternehmen? Mit uns!
In 2 days with measurable results!
How do I successfully introduce AI in my company?
AI is more than just an open technology issue. If you want to build competitive advantages and increase efficiency, you need a strategy that pays into specific business objectives. We guide companies through the entire AI transformation: strategy development, governance, employee training, proof of concept, rollout and ongoing scaling.
Strategy development
Governance & Compliance
AI transformation
Proof of concepts & rollout
Continuous innovation & scaling
AI products
Strategy development
Governance & Compliance
AI transformation
Proof of concepts & rollout
Continuous innovation & scaling
AI products
Strategy development
Governance & Compliance
AI transformation
Proof of concepts & rollout
Continuous innovation & scaling
Products in Data & AI
Develop your AI analysis! Practical. Measurable.
Interactive methods such as Business Model Canvas and Event Storming ensure maximum practical relevance.
- Find, develop & prioritize AI potentials
- Concrete savings opportunities & increased efficiency
- Structured opportunity assessment
- Clear implementation roadmap
- Practical: live demos & access to experts
(subsidies of up to 50 % possible)
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Cloud & Infrastructure
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Software
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Data & AI
Questions we get asked frequently
An AI strategy defines which AI technologies a company uses for which business objectives, in which order and with which resources. Without such a strategy, isolated solutions are created: individual AI tools are introduced without being coordinated with each other or making a measurable contribution to the business result. A good AI strategy begins with an inventory of existing processes and data sources. Only then can sensible application scenarios be derived.
An AI proof of concept (PoC) is a time-limited pilot project that shows whether an AI solution is technically feasible for a specific use case and what added value it delivers in the corporate context. It serves to identify risks at an early stage and to make investment decisions on a sound basis before a full rollout begins. A well-designed PoC is tightly defined: clear input, measurable success criteria, defined timeframe. The findings from the PoC flow directly into the planning of company-wide deployment.
The costs depend largely on which use case is implemented, how deep the integration into existing IT systems goes and whether employees need to be trained. There are also license costs for AI platforms, which vary greatly depending on the provider and usage model. Companies in Austria and Germany can have AI projects co-financed via public funding programs, for example via aws or FFG in Austria or ZIM in Germany.
Specific Group supports companies throughout the entire AI implementation process: from potential analysis and strategy development, governance structures and employee training through to proof-of-concept projects and the subsequent rollout. The offering also includes the ongoing development and scaling of existing AI solutions. For companies that want to see initial results quickly, there is a two-day workshop format for the structured identification of AI potential.
Amonga is an API integration platform that comes with preconfigured formats for industries such as banking, insurance and payments and can be integrated into existing enterprise systems. LegacyLift is an AI-powered code migration platform: it analyzes legacy code, creates documentation and supports the transfer of SAS code to Python or SQL, optimized for Databricks and Snowflake. Both products are developed by Specific Group and are also offered for integration at the end customer via fintechs, SaaS providers and consulting companies.
