Enterprise Consulting

From strategy to production deployment:

• AI readiness assessment and roadmap development
• LLM integration and prompt engineering
• ML pipeline architecture and MLOps setup
• AI product strategy and feature prioritization
• Team training and capability building

Typical engagement: 3-6 months, hands-on implementation with your team

Deep-dive technical assessments:

• System architecture audit and recommendations
• Performance bottleneck identification
• Scalability and reliability improvements
• Database optimization and migration planning
• Cloud infrastructure optimization

Typical engagement: 2-4 weeks, detailed assessment with implementation roadmap

Part-time technical leadership for growing companies:

• Technology strategy and roadmap planning
• Team hiring, mentoring, and performance management
• Architecture decisions and technical debt management
• Vendor selection and partner negotiations
• Board and investor communications

Typical engagement: 1-2 days/week, ongoing relationship

For investors and acquirers:

• Code quality and architecture assessment
• Technical debt evaluation
• Team capability analysis
• Scalability and security review
• Technology stack risk assessment

Typical engagement: 1-2 weeks, comprehensive technical report