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Data, privacy and AI advisory

Data, privacy and AI review of a third party SaaS platform

A business wanted an independent view of the SaaS platform holding its most sensitive client data, including its AI footprint and assurance evidence.

What leadership received

Leadership received a prioritised list of questions to take to the platform vendor.

Read the engagement
Policy library35

Vendor policies reviewed

31 page reportPlatform advisory

4 independent evidence sources

Prioritised vendor questions
Illustration reconstructed from the published case study, not a client document.

Australian business running on a third party SaaS platform

Platform type
SaaS
Subject
Third party SaaS platform
Engagement
Independent platform advisory
Deliverable
31 page advisory report

The situation

The client runs its business on a third party SaaS platform that holds its most sensitive client data. It wanted an independent advisory review rather than a penetration test. The questions were practical. How does the platform handle our data? What is its AI footprint? Does the assurance evidence stand up when an enterprise customer asks for it?

  1. Sat with the team on site and watched the platform being used, then put a structured question set to the platform's developer.
  2. Worked through the vendor's policy library, its independent penetration test results and a third party risk assessment commissioned by one of the client's enterprise customers.
  3. Mapped how AI is used inside the platform and what data reaches it.
  4. Rated every area for likelihood and impact, then wrote it in plain English for leadership rather than engineers.

The outcome

What leadership received

Leadership received a report it could use. Every area was rated, every rating was explained, and the reasoning remained visible rather than buried in an appendix.

The practical output was a prioritised conversation list for the vendor. The client now knows what to ask, in what order and what evidence to expect back. That matches the assurance position its enterprise customers expect.

The measures behind the work

These are observed measures from the engagement, not estimates of business returns. The source for each measure is shown below.

in the advisory report for leadership
31 pagesObserved measureClient advisory report | 2026
vendor policies reviewed
35Observed measureVendor policy library reviewed | 2026
independent evidence sources examined
4Observed measureAdvisory working papers | 2026
prioritised list to take to the vendor
1Observed measureClient advisory report | 2026

Want this looked at in your business?

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