Services
AI Strategy, Planning, Education
What does the maximally-competitive AI system for your specific industry look like? How do you get there? How do you make sense of the rapidly evolving AI landscape? What are the core ideas that are driving its advancement? What parts of it should you have hedges against?
Continuous AI Education
How do you keep your leadership and team informed of important core AI knowledge and the latest news? How do ensure new AI methodologies are incorporated into your evolved business?
Self-Improving AI Software Development
The primary business case for AI is maximally-efficient automation. If the system doesn’t self-improve it’ll be diverge in value rapidly over time and requirement maintenance resources which will cost you more than if you just left everything the way it was. This is only resolved through self-improvement.
Max ROI AI Rollouts
Directed by cost-and-return-based development planning and iterations, what does the roadmap of full-AI-rollout look like? How long will it take? How much will it cost?
Internal AI Software Development Adoption
Your internal dev teams should be using AI development assistance as much as possible. How does continuous management and deployment policies of this look? How do you implement full adoption?
Resource Alignment & AI Replacements
AI should replace a good chunk of your workforce, but that chunk might not have to be as big if you’re able to turn resources into 10x resources. How, where, and when is this possible to do? How do you communicate with your employees about this?