Frame
Define the leadership question, business outcome, scope and decision criteria.
Malvron methodology
Our method is designed to answer three executive questions: Where can AI create value? What must be true to deliver it? What should the organization do next?
Direct answer
Malvron combines structured business research, hypothesis-led analysis, workflow and data diagnostics, opportunity scoring and a focused proof of value. This creates a transparent fact base for investment and a practical route from strategy to implementation.
Six stages
Define the leadership question, business outcome, scope and decision criteria.
Build the fact base through primary sources, interviews, workflow observation and data review.
Use hypothesis trees and value-driver analysis to focus the investigation.
Rank opportunities by value, feasibility, readiness, adoption effort and risk.
Test one focused workflow with representative data and clear success measures.
Set owners, governance, dependencies and the next 90 days of implementation.
Research standard
Material company claims are recorded with their source, publisher, date, period and context. Analysis is labelled separately so readers can see where reporting ends and interpretation begins.
Source hierarchy
Opportunity scoring
| Dimension | Management question | Evidence |
|---|---|---|
| Value | What outcome changes, and how will we measure it? | Economics, service levels, capacity or risk |
| Feasibility | Can the workflow and technology support this now? | Architecture, integration and delivery capacity |
| Data readiness | Is the required information accessible and reliable? | Sources, ownership, quality and history |
| Adoption | Who owns the new decision or workflow? | Roles, incentives, training and change effort |
| Risk | What controls are required for responsible operation? | Security, privacy, compliance and review |
| Speed to evidence | How quickly can management learn from a real result? | Pilot scope, baseline and decision gate |