Pricing & engagement models
Engagement structures can be adapted according to project complexity, data readiness, integration requirements, security considerations and organizational objectives.
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Engagement models
AI Consulting
When organizations require an AI readiness assessment, technology evaluation, use-case analysis, use-case roadmap or implementation strategy.
Proof of Concept
For organizations that want to test a specific opportunity before making a larger investment.
AI Project Development
For organizations with a specific AI use case requiring architecture, development, integration and deployment.
Managed AI Services
For organizations requiring ongoing model monitoring, optimization, maintenance and technical support.
Dedicated AI Team
For organizations that need sustained access to AI engineering, data science, ML engineering and related technical capabilities.
AI Transformation Partnership
For organizations implementing multiple AI capabilities across departments and requiring long-term strategic and technical support.
What shapes the scope
AI consulting costs vary in accordance with the scope and complexity of the project.
- Data volume
- Number of data sources
- Number of languages
- Text versus voice
- Real-time requirements
- Model complexity
- Customization
- LLM usage
- Integration requirements
- Data engineering
- Security requirements
- Deployment environment
- MLOps
- Monitoring
- Managed services
- Organization size
- Data complexity
- Architecture complexity
- The requirements for governance
- Engagement duration
Contact us for the AI Strategy Consultation to discuss the scope of engagement and to determine the most appropriate engagement model.
