Our consultancy team provides comprehensive support throughout the entire transition, enabling companies to successfully implement and maximize the benefits of AI.
Regardless of digital maturity, we approach projects with a unified, three-step methodology. The various stages allow us to jointly determine with our clients whether it is worthwhile to go through the entire process of AI implementation, taking into account efficiency gains, organizational changes, and implementation costs.
How do we do it?
1. Audit - Planning AI Strategy
(Expected duration: 3-4 weeks):
During the audit, we review the organization's processes, identify pain points and activities that can be automated, and make recommendations for solving them with AI tools. At the end of the process, we develop an AI strategy plan focusing on the company's business objectives, listing the most suitable methods and solutions known today.
Analysis:
Examination of documents and databases
Modeling organizational, business, and workflow processes
Analysis of IT environment
AI Applicability Assessment:
Preliminary estimation of methods and tools for individual needs for future selection
Estimation of infrastructure capacity
Efficiency/cost estimation
Legal and Change Management Planning:
Preparation of legal compliance for proposed technologies
Examination of organizational changes and preparation of internal communication
Examination of the impact on human resource management
2. Planning - Development of AI Strategy
(Expected duration: 4-6 weeks)
In this phase, we assess the efficiency of the tools identified during the survey in practical use. To do this, we set up a laboratory environment where we evaluate the technology and its cost implications by testing it on client data. At the same time, we prepare the management for expected organizational changes. At the end of the process, a personalized AI strategy is developed, highlighting immediately applicable solutions and developments that are currently not available but expected in the near future.
Development of Process Improvement Plan
Processing and preparation of client data for POC
Local mapping of IT environment
Recommendation of infrastructure capacity
Feasibility Assessment:
Confirmation of the functionality of automation technology
Selection of methods and tools
POC creation/setting up laboratory environment
Determination of efficiency/cost
Development of Legal Compliance and Change Management:
Planning change management and necessary training for successful AI integration
3. Implementation
During implementation, we deploy selected products and solutions within the company's own IT infrastructure. We prepare staff for changes and support them in mastering efficient application methods, thus taking a step towards the 5th industrial revolution.
Integration and Testing of Technology
Integration of selected solutions into the client's own IT infrastructure
Completion and Follow-up of Change Management
Employee and Managerial Training
4. Follow-up
With the development of the AI strategy and the transition to AI integration, the opportunity arises to quickly replace newly emerging, more suitable products in this rapidly changing technological market. With this service, we undertake to assess and update automated functions at agreed intervals.
