The Samture Capability Index

Eight domains decide whether AI compounds or collapses.

Most readiness assessments bury you in maturity levels and two hundred questions. The Index does the opposite: eight domains, twenty-four honest statements, three minutes. Your score appears on screen the moment you finish; the full report with per-domain advice lands in your inbox — only if you ask for it. And above all you get an order: where to begin, and why. Nothing leaves your browser until you choose to send it.

Under each question

What we actually examine, per domain.

Strategy

Whether your AI ambitions are decisions you own — or defaults you inherited from vendors and hype cycles.

  • Use-case portfolio and its business logic
  • Build / buy / partner rationale
  • Executive ownership of AI decisions
  • Fit with regulatory and market reality
Semantic Intelligencethe one almost nobody measures

Whether your data means the same thing in every system that touches it — the layer that decides if AI answers with your knowledge or with a model’s guess.

  • Shared definitions and canonical meaning
  • Ontologies and knowledge models
  • Relationships across silos
  • Grounding of AI answers in modelled facts
Data Foundation

Whether any AI answer can be traced back to a governed source — and whether that source deserves the trust.

  • Quality, metadata and lineage
  • Ownership and stewardship
  • Access paths and integration
  • Source-of-truth discipline
AI & Technology

Whether your stack is chosen for the next decade or inherited from the last one — and what it locks you out of.

  • Platform and model choices
  • Vendor dependencies and exit paths
  • Integration architecture
  • Technical debt that blocks production
Trust & Governance

Whether you could answer a regulator asking “why did the model decide that?” — with evidence, on demand.

  • Auditability and explainability
  • PDPL / DIFC / ADGM / CBUAE / DOH fit
  • Access control and data protection
  • Accountability structure
Operating Model

Who owns AI on Monday morning once it reaches production — and whether that owner has the mandate to run it.

  • Run-and-maintain ownership
  • Escalation and incident paths
  • Funding beyond the project
  • Decision rights in daily operation
People & Adoption

Whether your people trust the system enough to act on it — because AI nobody acts on is a cost, not a capability.

  • Trust in system output
  • Skills and enablement
  • Workflow integration
  • Change capacity and leadership
Performance & Scale

Whether the second use case gets cheaper — the test of whether you built a foundation or just finished a project.

  • Reuse of models, data and semantics
  • Cost per use case over time
  • Operational performance
  • Scaling path across domains

Rather talk it through first? Begin a conversation — no deck, no pitch.