TRUST Audit

Know what your spatial data can prove.

A structured assessment of how spatial data is sourced, handled, changed, validated, governed, and prepared for analytics or AI.

TRUST AUDIT
Evidence should travel with the map.
Origin Custody Change Validation Trust
OriginWhere did the data come from?
CustodyWho handled it and when?
ChangeWhat changed and why?
ValidationHow was it checked?
TrustIs it ready for use?
Assessment framework

A practical framework for spatial data trust.

The audit follows the pathway from origin to decision readiness, testing whether the organization has enough evidence to support confidence.

Origin

Can the source, method, date, provider, and acquisition context be verified?

Custody

Is responsibility clear as data moves between people, vendors, systems, and teams?

Change

Can meaningful edits, transformations, approvals, and version decisions be traced?

Validation

Are quality checks repeatable, documented, and connected to the dataset?

Audit process

Evidence first. Recommendations second.

The process moves from discovery and evidence collection to an actionable improvement roadmap.

01

Scope

Identify priority datasets, workflows, decisions, and stakeholders.

02

Collect

Review files, metadata, systems, procedures, and available evidence.

03

Verify

Test whether evidence supports the stated source, handling, and status.

04

Score

Evaluate maturity across the five TRUST dimensions.

05

Improve

Prioritize governance, workflow, evidence, and tooling improvements.

Deliverables

Clear findings your team can act on.

The audit is designed to turn fragmented evidence into a practical view of current maturity, risk, and next steps.

Assessment

Trust maturity score

A structured view of current strength across origin, custody, change, validation, and readiness.

Included
Evidence

Evidence register

A working record of sources, verification levels, documents, systems, and supporting proof.

Included
Findings

Workflow and governance findings

Clear gaps affecting accountability, repeatability, authority, and decision confidence.

Included
Roadmap

Prioritized improvement plan

Recommended actions for process, governance, validation, and Attashe readiness.

Included
Frequently asked questions

What organizations usually ask first.

The audit can be focused on one priority dataset or expanded across a larger workflow or portfolio.

Does the audit require Attashe?

No. The audit stands on its own and can be used to understand current maturity before any platform decision.

What information is needed?

Priority datasets, available metadata, workflow documentation, system context, validation records, and access to the people who understand the process.

What happens after the audit?

Your team receives a prioritized roadmap. The next step may be process improvement, governance work, validation design, or an Attashe implementation discussion.

Know not only what a map shows,
but why it should be trusted.