AI Trust Centre
Our AI Trust Centre highlights the frameworks for ensuring our use of AI remains responsible and human-centred. This Trust Centre also outlines the principles, policies, and governance standards we apply all our client work to ensure AI remains a safe and reliable capability inside your organisation.
Why trust matters
Why trust matters in AI
AI introduces new capabilities, but it also imposes new risks & unprecedented responsibility.
Without clear governance, AI systems can expose sensitive data, operate without accountability, or erode confidence across teams and stakeholders. We believe AI must be deployed in a way that preserves trust, complies with regulatory expectations, and supports responsible decision-making.
Our approach is designed to help organisations move forward with confidence – not caution paralysis.
Our AI principles
Five principles, every engagement
These principles guide how we design, deploy, and govern AI systems across all client engagements and how we use AI internally at simplefy.ai. They are intentionally high-level, so they endure even as technology evolves.
AI that extends human capability
We use AI to expand & multiply what people can achieve, not just to speed up existing work.
Humans in loop, AI in support
AI & automation handles routine tasks so humans stay in charge of decision making and outcomes.
Anchored in privacy, security and verifiability
We build AI with strict controls and measures, and deploy only what we can verify as reliable.
Data treated as a foundation
Reliable AI starts with good data. We treat data as critical infrastructure, accurate, structured, permissioned & current.
Safe AI-native systems with oversight
We explore & build AI systems that remain understandable & well-governed in experimentation.
Data privacy
Data Privacy
We use the National AI Centre's Guidance for AI adoption and its six essential AI practices as a reference for our work: accountability, understanding impacts, risk management, sharing essential information, testing and monitoring, and human control.
We assess AI tools and use cases before use, set boundaries for access to information, and apply review and monitoring appropriate to the risk. Controls vary by system and engagement.
The public website does not send enquiry or subscription data to an AI model, and our business inbox does not use AI to process website enquiries.
We do not use website enquiry or subscription information to train AI models.
Where AI is used, a person remains accountable for the work and its outcomes.
Committed to compliance
Governed from the get-go
Governance
AI Governance & Accountability
AI systems should be understandable and subject to oversight appropriate to their risk.
We define accountability, set usage boundaries, assess risks, and test and monitor systems in line with each engagement.
Controls vary by tool and use case. We do not represent that every system has identical security, redaction or audit features.
Our standards for responsible AI use prioritise accuracy, safety and the preservation of human decision-making.