Trustoryx
Trustoryx AI

AI Engagement Models

We do not use fake pricing. Instead, we offer transparent engagement models designed for different stages of AI adoption — from discovery to ongoing engineering.

Every project is different. After understanding your requirements, we provide a detailed proposal with timeline and cost. Budget ranges are discussed during the initial conversation.

AI Discovery

Identify useful AI opportunities in your business.

  • Business process mapping
  • AI opportunity identification
  • Feasibility assessment
  • Risk assessment
  • Technology recommendations
  • Implementation roadmap
Best for
Organizations that know they need AI but are not sure where to start.

AI Prototype

Validate a specific AI use case with a working prototype.

  • Use case definition
  • Architecture design
  • Working prototype
  • Initial evaluation
  • Go/no-go recommendation
  • Path to production plan
Best for
Teams that have an AI idea and need to validate it before investing in full development.

AI MVP

Build a usable AI product with core features.

  • Full architecture design
  • Core AI capability development
  • User interface
  • Integration with key systems
  • Evaluation framework
  • Deployment
Best for
Startups and teams that need a functional AI product to validate with real users.

Production AI

Build and deploy a production-ready AI system.

  • Production architecture
  • Security and access controls
  • Monitoring and logging
  • Error handling and fallbacks
  • Cost controls
  • Performance optimization
  • Documentation
Best for
Organizations that need a reliable, monitored, secure AI system in production.

AI Integration

Add AI capabilities to your existing software.

  • Existing system analysis
  • AI capability design
  • API integration
  • Structured output enforcement
  • Cost optimization
  • Monitoring setup
Best for
Companies with existing software that want to add AI features without rebuilding.

Ongoing AI Engineering

Maintain and continuously improve your AI systems.

  • Performance monitoring
  • Quality evaluation
  • Cost optimization
  • Model updates
  • Feature improvements
  • Issue resolution
  • Architecture evolution
Best for
Organizations with production AI systems that need ongoing engineering support.

Not Sure Which Model Fits?

Tell us about your project. We will recommend the right engagement model based on your goals, timeline, and current stage.

Discuss Your Requirement

No pressure, no generic sales pitch. Just a conversation about your business and whether AI can help.