Case study
Partnering with Oy Media Solutions to turn an unconventional idea into an interactive AI product for practicing difficult conversations.
CLIENT / PARTNER : OY MEDIA SOLUTIONS
Product: ConversAItion
AI Product Engineering
Where it started
Some of the most important conversations in life are also the ones people feel least prepared for.
The existing requirement sounded simple:
Oy Media Solutions had an idea:
What if people could practice these conversations before having them in the real world?
Vincreda partnered with Oy Media Solutions to turn that concept into ConversAItion — an AI-powered simulation platform where users can practice conversations with realistic, personality-driven AI responses.
Shaping the experience
The challenge was not simply to add an AI chatbot to a website.
The product needed to create an experience that felt like an actual conversation rather than a generic question-and-answer interaction.
The experience needed to allow users to:
Enter a scenario
Choose or define the type of conversation they wanted to practice.
Interact with an AI personality
The AI responds in a way that reflects the intended personality and conversational context.
Experiment with different approaches
Users can test different tones such as assertive, calm or strategic.
Retry
The user can repeat the conversation and try a different approach without real-world consequences.
THE PRINCIPLE
The result is a product built around practice rather than prediction.
The engineering challenge
A key engineering challenge was designing the application around an AI interaction model rather than a conventional form-based workflow.
The experience needed to maintain the context of a conversation and produce responses that remained consistent with the selected scenario and personality.
This required bringing together:
User and scenario management
Conversation state
AI interaction
Personality-driven behaviour
Conversational context
Session handling
Retry and repeat interactions
A responsive user experience
The application therefore needed both a conventional product architecture and an AI-specific interaction layer.
The product principle
A major product principle was that the AI should behave as a conversation partner, not simply as an assistant answering questions.
That distinction influenced the product experience. Instead of asking:
“What should I say?” — the user can actually practice saying it.
The AI responds, the conversation evolves, and the user gets another opportunity to approach the situation differently.
This makes the product particularly relevant to areas such as:
Negotiation
Practice different approaches and communication styles.
Difficult workplace conversations
Prepare before entering a high-pressure discussion.
Leadership
Experiment with communication styles and responses.
Persuasion
Test how different tones and approaches affect a conversation.
Personal situations
Practice difficult conversations in a private environment.
The product's public positioning similarly emphasizes negotiation, persuasion, emotional intelligence and confidence through repetition.
How it works
The product was designed around a simple loop:
CHOOSE
Select the conversation or situation to practice.
SIMULATE
Engage with an AI personality designed to respond realistically to the scenario.
EXPERIMENT
Try different tones and approaches.
REFLECT
Understand how the conversation evolved.
RETRY
Have another attempt without real-world consequences.
REPEAT
The product's public positioning similarly emphasizes negotiation, persuasion, emotional intelligence and confidence through repetition.
How the work was shared
The project was developed as a partnership between Vincreda and Oy Media Solutions.
Oy Media Solutions
Brought the product concept, communication, creative and experience perspective.
Vincreda
Brought the technology and product engineering capability required to turn that concept into a working AI application.
This partnership reflects the kind of engagement Vincreda is increasingly focused on:
Business idea
Product concept
AI architecture
Working application
Rather than simply delivering software against a fixed specification, the engineering process involved translating an emerging product concept into a usable digital experience.
What it was built with
AI / LLM Integration
Conversational Applications
Web Application Development
User & Session Management
Scenario-Based Interactions
Personality-Driven AI Experiences
What changed
ConversAItion transformed an abstract product idea into a working AI-powered experience.
The product is intentionally positioned as a private, judgment-free environment where users can experiment without the consequences of a real-world conversation.
The product gives users a private environment where they can:
Practice difficult conversations
Experiment with communication styles
Improve real-time responses
Repeat scenarios
Build confidence through practice
Explore negotiation and persuasion techniques
The distinction that matters
Building an AI product is rarely about simply connecting an application to an LLM.
For ConversAItion, the AI is not an isolated feature.
It is the core interaction mechanism.
Vincreda helped turn that concept into a product experience where software, conversation design and AI work together.
From idea to AI-powered product.
From conversation concept to something people can actually practice.