Applied systems thinking
Turning workflows, constraints, incentives, and strategic ambitions into systems that can actually be examined.
AIAIAIAI explores artificial intelligence, analytics, automation, institutional systems, and the increasingly recursive application of AI to AI.
Turning workflows, constraints, incentives, and strategic ambitions into systems that can actually be examined.
Studying what happens between saying “we should use AI” and discovering that nobody knows what the workflow is.
Applying intelligence to artificial intelligence so artificial intelligence can be applied with greater intelligence.
A seven-stage maturity sequence for organizations prepared to improve their readiness for readiness.
Working questions, not publication claims. Select a card to turn it over.
Before deploying AI, assess whether the AI environment is sufficiently AI-ready to evaluate the readiness of the AI being deployed.
A framework for determining whether existing AI frameworks possess sufficient AI-native characteristics to remain valid in an AI-native framework environment.
The distance between having artificial intelligence and having enough intelligence to know what to do with artificial intelligence.
Once the AI transformation begins transforming the organization, the transformation itself becomes a candidate for transformation.
A readiness assessment cannot be considered ready until the readiness of the readiness assessment has itself been assessed.
The first loop supervises AI. The second loop supervises whether the first loop is supervising AI correctly. Governance improves with each additional loop.
AI transformation transforms not only technologies, but the transformative processes through which organizations transform them.
AIAIAIAI aligns strategic AI intent with AI-enabled transformation capabilities through an iterative AI transformation layer designed to continuously transform the organization’s approach to transformation itself.
“Transformation without transformation transformation is merely accelerated operational inertia.”
Identify where AI could identify additional opportunities for AI.
Align AI priorities with the priorities generated by previous AI alignment.
Transform AI transformation into an AI-transformable operating capability.
Determine whether the transformation is sufficiently transformed.
Messages are currently processed by the AIAIAIAI pre-deployment response layer. Production AI integration is pending readiness.
Response quality may increase faster than response meaning.
No. AIAIAIAI is currently an independent research, writing, and experimental initiative.
No.
Yes. Research collaboration, joint experimentation, and intellectual exchange are welcome. AIAIAIAI does not currently provide paid consulting services.
Extensively.
This remains an active area of research.
Research is ongoing.
Governance requirements prevented us from stopping at six.