After interviewing 50+ directors, trustees, advisors and business owners, we discovered recurring themes about AI adoption. The most consistent was this: organisations lacked operational visibility, accountability and auditability.
“To a first approximation, everyone's flying blind.”
We believe organisations shouldn't have to choose between adopting AI and protecting sensitive information. Our platform brings visibility, accountability and auditability directly to where the work happens.
Most people begin cautiously.
They treat AI like an unfamiliar colleague.
“It's all happening fairly informally — there is no real policy behind it.”
It happens through hundreds of successful interactions. Nobody decides to become less careful.
The real risk isn't one conversation, it is all of them.
“I didn't realise how much information I was sharing over time — it starts as a drip and becomes a flood.”
It's trust without guardrails.
That's where the right safe guards make all the difference.
“Governance fails at the point of use.”
All important. But they only describe ideal behaviour.
“Policies tell us what should happen. We had no way of knowing what actually was happening.”
“Policies tell us what should happen. We had no way of knowing what actually was happening.”
Small decisions create organisation wide risk over time.
Governance must move to the point of use.
Every organisation starts somewhere.
We'll help you find the right place to start.
Many users do not realise what happens the moment they click 'Send' on an AI assistant.
Responsible AI use starts with understanding what happens to your information.
You check your AI policy before you use an AI application.
You check your AI policy before you use an AI application.
You enter an instruction or piece of information into an AI application.
Your prompt is sent from the browser or application to your chosen AI provider.
An AI orchestrator may combine your prompt with instructions or other contextual information.
The AI orchestrator can pull information from its memory and/or conversation history.
The AI model uses what it has been given to generate a new response. It isn't simply retrieving information from a database.
The generated information travels back to your AI orchestrator.
The AI orchestrator may update its memory and conversation history.
Your response is sent back to your browser or application from the AI service.
The answer appears on screen — often with little indication of what information contributed to it or what happened to the information along the way.
AI generates information that can appear almost instantaneously — and then become difficult to trace.
And once the interaction is over, the organisation may have very little visibility of what happened to the information.
An organisation can have plenty of data and still have very little control over how AI uses it.
Those things have to be deliberately added around the AI system.
This is the fundamental difference between using AI and governing AI.
Traditional business systems have spent decades building controls around information:
AI introduces a new layer of complexity because employees can interact with AI systems directly, often outside the systems the organisation already controls.
That's why responsible AI needs more than a policy document.
It needs a way to understand what is happening, apply appropriate controls, and create evidence of what happened.
Understand → Discover → Enforce → Protect → Evidence
We start by understanding how AI actually works.
Then we help organisations discover where AI is being used, enforce your AI policy as controls, protect information as it moves through AI applications, and create the evidence needed to demonstrate what happened.
Because you can't govern what you can't see.
And you can't evidence what you haven't recorded.
Foundations, applications and verification of AI use in a single platform. These are not separate products. They are three stages of the same journey. Existing IT tools only tell you a device accessed a domain; they cannot tell you if AI was used safely.
Understanding how AI works is only the beginning. Organisations also need to help people understand how to use it responsibly - and turn that understanding into clear, proportionate rules.
| Do | What this means | Why it matters | How Integrii helps |
|---|---|---|---|
| Protect personal, client and employee information when using AI. | Only share sensitive information with AI tools where your organisation has explicitly approved it. | Information entered into AI may leave your organisation's control, creating privacy, confidentiality and data protection risks. | Your organisation's policy can turn this guidance into practical safeguards - warning, masking or blocking sensitive information at the point of use. |
| Check important AI outputs before relying on them. | AI can produce convincing information that is inaccurate or misleading... | ||
| Remember that people remain accountable for AI-assisted decisions. | |||
The framework doesn't just tell people what to do. It explains why - and helps turn your organisation's rules into practical safeguards at the point of use.
Your organisation's policy can turn this guidance into practical safeguards in the Protect solution, warning, masking or blocking sensitive information, and prompting for transparency or approval where needed.
Integrii helps organisations progress through each stage of that journey.
Unapproved AI tools currently used within your organisation.
Automatically build a record of the AI your organisation uses (AI register) and the risks that need managing (AI risk register).
During your 14 day free trial your use of the tool is anonymised, no email address needed.
See what AI is being used for, and where greater oversight may be needed.
People shouldn't have to remember every policy every time they press 'Send'.
Sensitive information stays under your control because all analysis happens locally in your browser before information reaches the AI provider.
Detect
Protect
Everything happens in your browser — your confidential information never passes through a third-party governance platform.
Helping people use AI safely without disrupting productivity.
Leadership shouldn't have to rely on trust alone.
Turn everyday AI use into evidence you can rely on.
Directors can answer client, insurer, and regulator questions with actual confidence rather than hopeful assumptions.
“External partners are already asking about our AI guardrails — and we don't yet have a good answer.”
Most AI governance platforms process your conversations. Integrii doesn't have to.
Your conversations are first sent to another company's governance platform before they reach the AI assistant. Then the platform needs to process your conversations so it can apply your organisation's AI policies.
AI policies define the rules for how employees should use AI and what information can be shared with AI services.
Users read the AI policies.
The AI policies are turned into controls on the organisation's governance platform.
AI policies define the rules for how employees should use AI and what information can be shared with AI services.
Users read the AI policies.
The AI policies are turned into controls on the organisation's governance platform.
The user enters a prompt into the AI application or browser.
They may apply the rules, but it is likely that the prompt may still contain sensitive, confidential or valuable information.
The prompt, potentially containing sensitive, confidential or valuable information, leaves the user's local environment and is sent to a third-party governance platform.
The governance platform applies the organisation's policies through controls applied to the prompt.
The governance platform processes the conversation and records an audit trail before forwarding the request to the AI provider.
The prompt reaches the AI provider and is processed by the AI model, which generates a response.
The AI provider sends the response back to the same third-party governance platform, where organisational controls can be applied to the response.
The governance platform updates the conversation history with the prompt and response, then records an audit trail.
Once the governance checks are complete, the response is passed back to the user's browser or application.
The response reaches the user through the browser or app, ready for them to review and continue working.
Integrii works on your own computer before information is sent to the AI assistant of your choice. If your organisation chooses to keep a record of AI conversations, they remain encrypted on your computer - not ours. They can be backed up, restored to a replacement computer, or retained as evidence of responsible AI use.
AI policies define the rules for how employees should use AI and what information can be shared with AI services.
Users read the AI policies.
The AI policies are turned into controls on the organisation's Integrii platform.
AI policies define the rules for how employees should use AI and what information can be shared with AI services.
Users read the AI policies.
The AI policies are turned into controls on the organisation's Integrii platform.
The user enters a prompt into the AI application. They may apply the rules, but it is likely that the prompt may still contain sensitive, confidential or valuable information.
The Integrii platform loads the policy controls into the user's local environment whenever they use the platform.
The prompt is checked in the browser against the organisation's policy controls, and the relevant controls are applied before the prompt is allowed to leave the user's local environment.
The browser records that the intended AI interaction took place through the Integrii platform, without recording the details of the prompt.
The conversation history is processed in the user's local environment.
Once the relevant controls have been applied, the prompt is allowed to leave the user's local environment and continue to the AI provider.
The approved prompt is sent directly to the AI provider, where the AI model processes it and generates a response.
The AI provider sends the response directly back to the user's browser or application.
The response is checked in the browser against the organisation's policies.
The interaction is recorded in the audit trail. The response itself is not recorded, maintaining the organisation's record of the interaction without storing the response.
The browser processes the response and updates the conversation history.
The response reaches the user through the browser or app, ready for them to review and continue working.
The people behind Integrii bring experience from education, healthcare and finance — sectors where confidentiality, data protection, accountability and responsible use of information are fundamental to everyday work.
Integrii was built by people who have spent their careers working in environments where sensitive information, privacy, accountability and trust aren't abstract concepts. These are practical responsibilities that have to work in the real world.
The product reflects our Founder and CEO's approach to problem-solving: understand how something actually works in practice, educate stakeholders, challenge assumptions, and design a simpler and better way of achieving the same outcome.
We brought that experience into the way Integrii is designed. Rather than assuming organisations should send more of their information into another platform in order to govern it, we started with a different question: What if governance could happen while the information remains under the organisation's control?
That principle shapes the product — from how we discover AI use, to how we protect sensitive information, to the evidence we create, and where that work happens. We put the controls as close to the information as possible — in the browser and on your own computer, rather than on our servers.
“Our goal isn't to become another trusted repository for your confidential information, but to help you keep it under your own control.”
Integrii is being built by people who understand the environments in which governance has to work - and the people who have to use it.
Founder, CEO & Product Owner
Product strategy • Governance • Managing change
Mark brings a background spanning education, national policy, product development and organisational change. He has worked at the point where policy has to become practical - helping stakeholders understand what needs to change, designing products and programmes to support that change, and translating complex requirements into something people can actually use.
Co-Founder, UX & Customer Experience Design
User experience • Service design • Customer insight
Bobbie brings experience in UX design across education and healthcare, where products and services have to work for people with different needs, levels of understanding and responsibilities. That perspective is central to Integrii's design. Governance only works when people can understand it and incorporate it into their everyday work - so the product is designed around real users, real behaviours and practical adoption, rather than adding another layer of complexity.
See how Understand, Discover, Enforce, Protect and Evidence fit your organisation, or reach out and we'll walk you through the right next step.
