Reusable operating frameworks for AI maturity, commercial readiness, evidence assembly, and execution sequencing. Built from direct founder and operator practice.
Frameworks are reusable methods with defined inputs, steps, and outputs. Each framework in this wiki was built from direct application — developed through repeated use in fintech, open banking, and regulated-market commercial contexts, then documented for reuse. They are practical tools, not theoretical models.Frameworks differ from knowledge pages: knowledge pages explain a concept; framework pages give you a procedure you can follow.
Each framework page follows a consistent structure: what it is, who it is for, prerequisites, inputs, a numbered step sequence, what good looks like, common failure modes, and related pages.Use the AI Maturity Roadmap to assess where a bank or regulated institution sits on the AI adoption journey and what must happen next. Use ACE Prompting for structured briefing of AI models and teams. Start with the Revenue Readiness Index if you are assessing commercial readiness before committing to an execution phase. Use 5 Days to Scale when you need to build focused momentum fast. Use Evidence Pack Builder when you need to prepare credible proof for a sales conversation.
AI Maturity Roadmap is a nine-stage framework for banks and regulated institutions navigating AI adoption. It sequences the journey from awareness through shadow AI, tool standardisation, workflow integration, supervised autonomy, and onward to an adaptive organisation. Produced through the Business AI Alliance initiative.5 Days to Scale is a five-day commercial sprint for founders and operators who have pipeline activity but are failing to convert it. It enforces one target, one offer, one clear ask across five consecutive days.Revenue Readiness Index is a scoring diagnostic across five dimensions — proposition clarity, buyer definition, evidence quality, conversion infrastructure, and team alignment. Run this before committing to a growth phase.ACE Prompting is a three-step briefing framework for getting reliable output from AI models and human teams. Align the assignment, Confirm the constraints, Execute with a quality bar. Built from daily practice with LLMs and documented from the Prompt Like a Leader and ACE Prompting writing.Evidence Pack Builder is a method for assembling the minimum viable proof package for a sales conversation. It produces one page of specific, verifiable evidence tailored to a buyer segment.
Frameworks are applied within Projects and informed by Knowledge area context. The Closing Foundry project is the primary live context where commercial frameworks are applied and refined. The Business AI Alliance project is the primary context for AI adoption frameworks.