Start focused. Expand on evidence.
A bounded pilot on the sources that matter most, with a commercial scope you can evaluate before any wider rollout.
Financial regulators should not need an enterprise-scale budget or an in-house AI research team to make official investor information easier to understand. AmayzTrust is built to lower the cost, complexity and governance barriers to creating a trustworthy digital Investor Centre.
To make practical, regulator-governed AI accessible to financial authorities of different sizes and levels of technical capacity—so they can help more investors find, understand and act on trustworthy official information.
A world where every investor can find clear, source-backed guidance from the authority responsible for protecting their market, regardless of the authority’s size or technical resources.
Education is part of investor protectionIOSCO’s securities-regulation assessment framework highlights investor education as part of regulators’ investor-protection role (Principle 3, Key Issue 6). IOSCO also recognizes that education programmes need not follow a single model. Our mission is to lower the financial and technical barriers to responsible, regulator-governed digital investor education, without promising that AI can never be wrong.
IOSCO is cited as an independent standards source. AmayzTrust is an Amayztech product and is not affiliated with or endorsed by IOSCO.
Most authorities can see the value of clearer investor guidance. What holds them back is cost, capacity and the responsibility of putting an official name to an answer. We take on all three with you, so your team can stay focused on investors.
A bounded pilot on the sources that matter most, with a commercial scope you can evaluate before any wider rollout.
Connect what you publish or write it in AmayzTrust. Amayztech handles delivery in the managed model; your officers own the content and the decisions.
Approved sources, visible dates, citations that must support the claim, honest uncertainty, and the power to correct or withdraw.
No generative AI system can responsibly promise zero mistakes or zero bias. For investor-facing use, we aim to make those risks visible, testable and controllable. That means evaluating answers against the authority’s approved information, checking whether citations genuinely support a claim, testing varied wording and accessibility needs, refusing unsupported conclusions, and ensuring that publication rights and regulatory decisions remain with authorized people.
Our objective is not to ask regulators to trust a model blindly. It is to give them an evidence-based way to decide what the model may say, see why it said it, and intervene when it should not answer.
Answers cite controlled sources, and media recommendations are kept separate from cited evidence.
Authorized staff approve content and, separately, the use of its text for AI. Regulatory judgments stay human.
Missing, conflicting or outdated information is flagged, with a route to the right official channel.
Factual accuracy, harmful bias, language and accessibility outcomes and withdrawn-source behaviour are evaluated before and during each real deployment.
These are design principles and the validation practices we apply to each deployment, not a certification. Governance frameworks such as the NIST AI Risk Management Framework inform how we evaluate; we do not claim formal conformity.
A narrowly scoped pilot can begin with the guidance you already publish, or with a small set of new articles created in AmayzTrust. We agree the sources, controls, success criteria and operating model together. You decide what to expand next.
Either path, or both. Publication and approval for AI answers stay separate decisions.

AmayzTrust is developed by Amayztech LLC, a technology consulting company with experience delivering regulatory portals, workflows, integrations and support.
Learn more about AmayztechWe’ll walk through your content, your controls and a pilot shape that fits your size.