TECHNOLOGY

Technology overview

A lean, privacy-compliant architecture for digital coaching: impulses that reach people where they already work, and an AI coach grounded in your own documents.

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Nudging

Nudgence is a lean, privacy-compliant software architecture for digital coaching, built on a control-free push and pull principle. The system deliberately does not read sensitive calendar or profile data, and it sends weekly micro-nudges, such as reflection questions or short strategic key messages, purely on a time schedule.

Technically this runs through a decoupled notification engine that supports several channels for data-minimizing delivery; SMS delivery, for example, only requires a list of the phone numbers involved. Personalized content is served from a central, multi-tenant editorial backend, which keeps data cleanly separated for every corporate customer. A link in the micro-nudge offers additional support from the AI coach. The texts are flexible and are defined together with the people responsible.

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AI coach

The direct interface is a lean web front end (optionally an app) that provides an intuitive AI chat interface based on established, commercially available LLMs.

Targeted context injection through Retrieval-Augmented Generation (RAG) passes the relevant files to the language model. The user's query is enriched dynamically with specific documents and content from the knowledge base as context, which guarantees precise, tailored answers.

These stored support materials and guides are also available to the user at any time, directly in the interface.

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Integration

Single Sign-On (SSO): To keep access as frictionless as possible, the system can be connected to the corporate customer's existing identity management (identity provider) through common authentication standards such as OAuth 2.0 or SAML.
Platform integrations (interfaces): A flexible API architecture means the weekly impulses (micro-nudges) can optionally be delivered not only by web or app push, but straight into existing communication channels such as Microsoft Teams or Slack.
Hybrid readiness (webhooks): Webhook logic is implemented to hand more complex questions over to an internal team of advisors without friction. When the AI coach reaches its didactic limits in the chat, the query can be passed on, encrypted, to an internal ticketing or support system.

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Analytics

Anonymized monitoring: An analytics dashboard brings the data together at an aggregate level in the central editorial backend. It records metrics such as the activation and interaction rates of the push notifications and how intensively the AI chat is used, with strict privacy protection and without allowing any conclusions about the usage behavior of individual people.
Topic and trend detection: The system analyzes search and chat queries semantically in aggregated, anonymized form, for example with clustering algorithms. This shows which strategic topics or challenges (for example "dealing with conflict" or "resource bottlenecks") are currently on people's minds.
Strategic adjustment: These data-based insights let the HR team or the external consultants adjust the future frequency and thematic focus of the micro-nudges, or start targeted deep-dive workshops.

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Feedback system

Micro-feedback (pulse feedback): Right after an interaction, or after receiving a weekly impulse, the manager can give feedback through a minimally invasive one-click system (for example thumbs up and thumbs down, or a star rating).
Qualitative feedback: At the end of a conversation, the chat interface lets the user note briefly in writing how useful the answer was for their specific situation at work.
Iterative content optimization: The feedback that is collected flows back into the editorial backend in structured form. This gives the curation team and the co-creators concrete evidence for continuously improving the quality of the didactic support materials, the wording of the AI prompts and the weekly reflection questions.

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Roadmap

Beyond that, we work continuously on the strategic development of our roadmap, so the system grows dynamically and stays ready for the future.

The particular focus is on further extension options and deep customization, so the platform fits the specific requirements and processes of our customers and partners even more precisely.