Compliance you can prove for every AI decision.
Get Assured AI reads the documents your teams and AI produce, grades them against the rules that apply, and helps you draft new ones that are compliant from the start. It runs inside your own environment, so nothing leaves your tenant. It is the first step toward a complete assurance layer for AI.
Partnered with ollo in ANZ for Co-building AI agents with your teams.
We start where the compliance risk is highest: your documents.
Most teams can state their AI policy. Far fewer can show, on any given day, that a specific document obeyed it. So our first release does exactly that. It reads the documents your teams and AI produce, grades them against the rules that apply, and helps you draft new ones that are compliant from the start.
Compliance review and grading
Point Get Assured AI at your document folders in SharePoint. It works out the role of each file, whether it is the item under review or the evidence behind it, then returns a scored report showing what passes, what fails and why.
- Regulation and your own policy compiled into precise, machine-checkable control points
- Checks for required disclosures, prohibited claims, consent, balance and decision authority
- Every finding carries its reasoning and the source rule it was judged against
- Runs inside your own tenant with zero data egress
A defined control catalogue covering the regimes most of our customers operate under, alongside SOC 2 and recognised best-practice controls. Jurisdiction is selectable per customer:
Your own policies fold into the same framework. Any written obligation becomes a control point you can test against.
From reviewing documents to assuring the whole AI lifecycle.
The review engine is the foundation. From there we are building the rest of the loop, so the same controls that grade a document go on to govern, enforce and measure AI as it runs in production.
Compliant by construction
Draft documents that already satisfy the controls, so compliance is built in as the content is written rather than checked after the fact.
Govern
Set the boundaries an AI system operates within: who decides, what needs a human, where the limits sit. One auditable place instead of scattered slide decks.
Enforce & prove
Block or escalate what fails, and keep a tamper-evident record of every check, so the evidence is already assembled when a regulator or a board asks.
Measure
Track where AI is creating value and where control is slipping on one view, with the signals a CFO and a Chief AI Officer both need.
From a written rule to proof it held.
The same path runs whether the rule comes from a regulator or from your own handbook. Today it powers the review engine; it is also the model the rest of the platform is built on.
Rules become controls
Regulations and policies are broken into atomic obligations and turned into testable control points.
Outputs get checked
Each AI output is judged against the controls that apply to it, with the reasoning made explicit.
Evidence is captured
Every decision, input and source is logged in a durable, audit-ready trail.
Claims are grounded
Findings are checked back against the source rule, so a pass means what it says.
The picture compounds
Coverage, exceptions and value accumulate into a view leadership can actually act on.
Built for the people who answer for the AI.
Chief AI & Data Officers
You've been asked to scale AI without losing control of it. Get a control layer that lets you say yes to more, safely.
Risk & Compliance
Stop sampling after the fact. Review the whole population of AI outputs, with the evidence already attached for the regulator.
Finance & the Board
See the cost of control and the value of AI on one page, so the investment case and the assurance case are the same conversation.
Find out what your AI can already prove.
Bring a real workflow. In one working session we'll map it to control points and show you where the evidence stands today.
Book a working session