Analytics & AI
LPS uses Analytics for transparent index, KPI, decision and scenario models. AI is reserved for genuine model-based language, text, knowledge or pattern processing. Navigation therefore remains consistently combined under Analytics & AI.
Analytics
Indices, KPIs, weighting, self/other views, multi-wave comparisons, sensitivities, business cases and management reporting. Calculation paths and assumptions remain transparent.
Artificial Intelligence
AI is used only where models recognize, classify, summarize, generate or predictively process content. Pure index calculation is not labelled as AI.
Analytics and consulting solutions
These three solutions are not standard software with an open checkout. They illustrate how company-specific measurement, diagnostic and management models can be translated into usable software. Every public simulation uses only fixed fictional example data.
Multi-perspective leadership analysis using the 3×5 pilot model: generative capacity, reactive limiting patterns and integral mediation across five leadership domains.
Consulting cockpit connecting index profiles, action planning, business cases, ROI and break-even scenarios with management reporting.
VSM-based organizational diagnosis for viability, steering functions, balance, veto risks, perspective differences and action roadmaps.
Companies, persons, survey data, index scores, benchmarks, methodological indicators, impact assumptions and recommendations are fictional or simulated. The demos are not an actual diagnosis, normative data, empirical validation or a guarantee of financial outcomes.
Current AI solution
Local model-based speech recognition for Windows with direct text input into suitable applications. Further AI solutions are offered only where there is a concrete professional benefit and a responsible data and usage design.
Company-specific development
Company-specific measurement models, dashboards, thresholds, perspective comparisons and management reports.
Local search, summarization, classification and structured analysis of internal document collections.
Connecting metrics, scenarios and AI-supported explanations under human responsibility.
From illustrative model to company solution
Data model, user roles, analysis logic, interface, local or web-based deployment and support are aligned with the concrete use case.