Transform your product with AI and Machine Learning
From strategy to implementation. Identify high-impact AI use cases, build intelligent features, and establish MLOps practices for real business value.
Challenge
AI implementation is challenging
- Lack of AI/ML expertise in the team
- Competitors are implementing AI features, and you're not
- You see potential but don't know where to start
- Need to move fast but avoid costly mistakes
- Want AI that actually works, not just for marketing
- Lack of AI/ML expertise in the team
- Competitors are implementing AI features, and you're not
- You see potential but don't know where to start
- Need to move fast but avoid costly mistakes
- Want AI that actually works, not just for marketing
What I do
AI strategy and use case definition
Find high-impact AI use cases for your business
- Business goals analysis
- High-impact use case identification
- Technical feasibility assessment
- ROI estimation and prioritization
- Build vs buy analysis
Technical implementation
From model selection to production
- Model selection and evaluation
- Data pipeline architecture
- ML infrastructure setup
- API integration and optimization
- A/B testing framework
MLOps and production
Stable AI operation in production
- Model deployment and monitoring
- Performance tracking and alerts
- Continuous improvement pipeline
- Cost optimization
- Compliance and ethics frameworks
Team development
Empower your team with AI/ML competencies
- AI/ML skills assessment
- Training and knowledge transfer
- ML engineer hiring (if needed)
- Vendor and tool selection
- Standards and best practices implementation
How it works
1
Month 1: Discovery and strategy
1 monthUse case workshops. Data readiness assessment. Technical feasibility analysis. ROI modeling. Roadmap creation.
2
Month 2-3: MVP implementation
2 monthsProof of concept development. Model training and testing. Integration with existing systems. User feedback collection.
3
Month 4-6: Production and scaling
3 monthsProduction deployment. Monitoring setup. Performance optimization. User adoption tracking. Next features planning.
Results You'll Achieve
Rapid AI implementation focused on business results
- Clear AI roadmap aligned with business goals.
Prioritized AI feature implementation plan with ROI calculation for each initiative. You understand which tasks to tackle first and how AI will impact revenue, conversion, or operational costs. - 2-3 working AI features in production.
Ready-to-use AI solutions already benefiting your customers or optimizing internal processes. Not experiments, but production-ready features with real load. - Measurable impact on key metrics
Concrete growth numbers: increased conversion, reduced churn, faster request processing. Each AI feature tied to business metrics you track in real time. - MLOps infrastructure for continuous improvement.
Automated pipelines for training, testing, and deploying models. You can quickly iterate, improve accuracy, and adapt AI to changing data without external experts. - Team capable of maintaining and developing AI features.
Your developers gain knowledge and tools for independent AI work. Documentation, best practices, and mentoring - everything to eliminate dependency on contractors after project completion.
Who this is for
Series A+ companies
Looking to differentiate with AI and improve investment attractiveness
Established startups
With product-market fit
SaaS platforms
Adding intelligent features
Companies with data
But without AI expertise
Common use cases by industry
Examples of AI applications across industries
Fintech
- Fraud detection
- Credit scoring
- Personalized recommendations
EdTech
- Adaptive learning
- Content recommendations
- Automated assignment grading
E-commerce
- Product recommendations
- Demand forecasting
- Dynamic pricing
B2B SaaS
- Predictive analytics
- Automated workflows
- Intelligent search
Pricing
Recommended package for AI transformation
Contract Length:
Scale CTO
≈3 days per week, 80 hours per month
Series A+ startups with 15-20+ engineers preparing for the next funding round.
- Everything from Growth CTO package
- Participation in executive meetings and investor discussions
- Building engineering management team (leads, engineering managers)
- Due diligence support for fundraising
- Organizational design: team structure, processes, rituals
- Technical debt strategy and refactoring roadmap
- Vendor and partner negotiations (AWS, third-party services, contractors)
Package price
$12,000per month
Related services
Frequently asked questions
Ready to start AI transformation?
Start with a free 30-minute consultation. We'll discuss your goals, challenges, and determine how I can help.
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