Evidence, validation & human authority

Make the evidence inspectable. Keep the decision accountable.

Governed intelligence means provenance, uncertainty, validation and responsibility are visible parts of the workflow.

Governed analysis foundation
A governed evidence chainIllustrative workflow
01RequirementQuestion · scope · authority
02CaptureMission · source · context
03AnalysisVersion · coverage · confidence
04ValidationReference · review · exceptions
05DecisionNamed person · recorded basis
ProvenanceAuditLimitationsHuman authority
The result remains connected to its source, method, validation and accountable decision-maker.

01

An inspectable chain

An output is only as useful as the evidence and assumptions behind it. Tropos is designed to retain where evidence came from, when it was captured, what it covers and where it may be incomplete.

  • Source and capture provenance
  • Coverage, age and confidence
  • Documented transformations
  • Visible gaps and limitations

02

People remain responsible

Tropos separates analytical support from operational approval. Systems may organise evidence and surface risks; an authorised person remains responsible for the decision.

Outcomes should be evaluated against defined questions, methods and acceptance criteria—not marketing language.

03

An illustrative evidence chain

Consider an illustrative woodland-establishment review—not a customer record or validated outcome. The requirement defines the site, question, method and person authorised to accept the work. Operations™ preserves the approved scope, people, aircraft and mission context; Field™ returns attributable observations and capture evidence.

SilvaSense™ can then reference the source survey, analytical version and coverage; validation can compare mapped indicators with appropriate plot or field evidence; and a named forestry professional can review the result, limitations and exceptions before deciding what follow-up is justified. Every stage points back to the evidence it used.

  • Requirement and authority
  • Capture and provenance
  • Analysis and validation
  • Named human decision

04

What the chain must reveal

A credible result should make it possible to answer practical questions: Which site and date? Which approved scope and method? Who captured the evidence? What was excluded? Which analytical and dataset versions were used? What reference evidence challenged the result? Who reviewed it, and what decision was actually authorised?

If a required answer is missing, stale or incompatible, the workflow should expose the gap rather than silently convert uncertainty into confidence.

  • Source and ownership
  • Coverage and exclusions
  • Version and validation
  • Decision and authority