Services
(Budget, hourly, or outcome-based pricing options available)
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
Filter out the noise and superfluous hype. How do you keep your leadership and teams informed of important core AI knowledge and important developments? How do ensure new AI methodologies are incorporated into your evolved business?
AI Software Development (self-improving)
The primary business case for AI is maximally-efficient automation. If the system doesn’t self-improve, it’ll diverge in value rapidly over time and require maintenance resources which will cost you more than if you just left everything the way it was. AI solutions only scale with self-improvement. We show you how.
Max value, Max ROI AI Rollouts
Directed by cost-and-return-based development planning and iterations; what does the AI development roadmap look like for your company? How long will each stage take? How much will it cost?
Internal AI Software Tool Adoption
AI should be 10x’ing your dev teams. They should be using AI development assistance as much as possible — without compromising code quality. How does continuous management and deployment policies of this look? How do you implement full adoption?
AI & Resource Alignment
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?