AI Development Engagement Models
Clear engagement models and custom estimates based on project scope, technical complexity, data requirements, integrations, and delivery needs.
AI Discovery & Strategy
Fixed-Scope Engagement
Suitable For:
- AI opportunity assessment
- Business-process analysis
- Data readiness audit
- Technical feasibility
- Architecture planning
- Implementation roadmap
- Risk analysis
Key Deliverables:
- Discovery workshops
- Requirements document
- Feasibility assessment
- High-level architecture
- Delivery roadmap
- Cost and timeline estimate
Prototype or Proof of Concept
Recommended
Custom Estimate
Suitable For:
- Use-case validation
- Testing models
- Testing available data
- Evaluating integrations
- Demonstrating technical feasibility
Key Deliverables:
- Limited-scope prototype
- Evaluation results
- Technical findings
- Known limitations
- Recommendation for production
MVP Development
Custom Scope
Suitable For:
- AI products
- Internal tools
- LLM applications
- AI agents
- Analytics platforms
- Workflow automation
- Startup products
Key Deliverables:
- Product scope
- Architecture
- Application development
- Integrations
- Testing
- Deployment
- Technical documentation
Production AI System
Custom Estimate
Suitable For:
- Secure deployment
- Business-critical integrations
- Access control
- Monitoring & observability
- Reliability & failover
- Model evaluation
- Operational workflows
- Scaling
Key Deliverables:
- Production architecture
- Secure implementation
- Testing & benchmarking
- Deployment configuration
- Monitoring setup
- Documentation
- Support plan
Dedicated Engineering Partnership
Monthly Engineering Partnership
Suitable For:
- Ongoing product development
- Maintenance & updates
- Continuous iteration
- AI feature expansion
- Data-platform expansion
- Model monitoring
- New integrations
Key Deliverables:
- Agreed monthly capacity
- Defined backlog priorities
- Delivery reporting
- Ongoing engineering support
- Product and architecture continuity
Tailored Technical Proposals
Custom technical proposals ensure that estimates match data complexity, architectural security, model evaluation requirements, and delivery milestones.
Engineering Delivery Lifecycle
- 1Submit your technical requirements or project idea
- 2Technical assessment with InventaCore AI engineers
- 3Architecture, feasibility, and risk analysis
- 4Clear scope of work & milestone-based estimate
- 5Sprint execution with continuous technical updates
Contractual & Technical Standards
Mutual NDAs are available when confidential technical, commercial, or data-related information needs to be shared.
Deliverable ownership defined in signed agreements
Secure cloud deployment in your cloud environment
Defined post-launch support & maintenance options
Comprehensive documentation & codebase handover
Direct technical communication throughout delivery
Need Guidance Selecting the Right Engagement Model?
Speak with our engineering team to evaluate feasibility, data readiness, and delivery timelines.