AI Virtual Assistants Platform

Project Overview

AI Platform, eine innovative plattform für maßgeschneiderte virtuelle ai-assistenten, die websites mit intelligenten chatbot-lösungen ausstattet und kundeninteraktionen automatisiert. GoldenWing developed a customized solution with focus on Platform development and integration. The result: 50+ Website-Integrationen, -85% Response-Zeiten reduziert, 24/7 Kundensupport automatisiert.

Starting Point

What Was Holding Them Back?

Unternehmen benötigen intelligente Chatbot-Lösungen, die nicht nur vorgefertigte Antworten liefern, sondern kontextbezogen und personalisiert kommunizieren können. Die Herausforderung lag in der Entwicklung einer flexiblen, trainierbaren AI-Plattform.

The specific challenges included:

• Missing digital infrastructure for sustainable growth
• Inefficient processes and manual workflows
• Unclear positioning and communication
• Lack of measurability for marketing and sales activities

Why Was This Critical?

Without professional digital presence and optimized processes, growth potential remained untapped. Competition was digitally better positioned, leading to missed opportunities.

Goals & KPIs

• Website-Integrationen: 50+
• Response-Zeiten reduziert: -85%
• Kundensupport automatisiert: 24/7
• Optimize and automate digital processes
• Strengthen brand positioning

Our Approach

Scalable software solutions and cloud architecture

GoldenWing entwickelte eine AI-First-Plattform:

• AI-Engine: Natural Language Processing mit Machine Learning
• Training-Interface: Einfaches Training für verschiedene Use Cases
• Website-Integration: Plug-and-Play SDK für schnelle Implementation

Implementation & Rollout

• Analytics-Dashboard: Performance-Tracking und Optimierung
• Multi-Language-Support: Internationale Einsatzfähigkeit

Implementation Details

Phase 1: Analysis & Strategy

Deep analysis of existing processes, competitive landscape, and target audiences. Definition of clear KPIs and milestones for the project.

Phase 2: Development & Design

Scalable software solutions and cloud architecture with focus on user-friendliness and conversion optimization. Iterative design with regular feedback.

Phase 3: Launch & Optimization

Go-live with accompanying support and continuous optimization based on performance data and user feedback.

Deliverables

• AI-Engine – Natural Language Processing mit Machine Learning
• Training-Interface – Einfaches Training für verschiedene Use Cases
• Website-Integration – Plug-and-Play SDK für schnelle Implementation
• Analytics-Dashboard – Performance-Tracking und Optimierung
• Multi-Language-Support – Internationale Einsatzfähigkeit
• Documentation and training
• Performance reporting and analytics

What Had the Biggest Impact?

The holistic approach was key to success. Instead of isolated measures, an integrated strategy was developed that considers all touchpoints.

Close collaboration with the AI Platform team enabled quick iterations and tailored solutions.

Key Learnings

• If digital processes are thought through from the start, then the business scales sustainably, because no technical debt is created.
• If stakeholders are involved early, then adoption rate increases, because concerns are addressed.
• If KPIs are clearly defined, then success can be measured, because decisions are made data-driven.

Next Steps

• Further development based on performance data
• Expansion of functionalities
• Scaling into new markets or segments
• Continuous optimization and A/B testing