Real-Time AI Engine

Power your guidance experience with intelligent AI pipelines that optimize placement, content, and engagement automatically.
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Overview
Behind the scenes, inncivio uses real-time AI pipelines to power every aspect of the guidance experience. Our multi-model architecture ensures that each intervention is optimally placed, contextually relevant, and continuously improving.

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AI Model Architecture

Placement Model
Determines the optimal placement of tooltips and guidance elements based on:

• UI structure analysis
• Heatmap behavior data
• User interaction patterns
• Visual hierarchy considerations

The result: guidance appears exactly where users need it, without disrupting their workflow.

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Master Model (Reinforcement Learning)
‍Monitors ongoing sessions and continuously improves:

• Tracks engagement metrics across all interventions
• Adapts timing and placement strategies over time
• Optimizes for your defined conversion goals
• Learns from successful user journeys to improve future guidance

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Dynamic Personalization
‍All content is generated dynamically and tailored across three dimensions:

• Per Page – Context-specific guidance for each screen
• Per Goal – Aligned with your defined conversion objectives
• Per User Session – Adapted to individual behavior patterns

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Continuous Optimization
The AI engine doesn't just deploy guidance—it learns. Over time, your guidance becomes increasingly effective as the system identifies what works best for your specific users and platform.

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