Employees experiment with new tools, Microsoft 365 Copilot works with information people can already access, and new agents can enter business processes faster than policies and ownership models can keep pace. The result is not simply an AI risk. It is a lack of visibility, accountability, and control.
Microsoft Partner
Clear Ownership
Every AI tool and agent has a named owner, a defined purpose and a simple approval path.
Data That Stays Protected
Labels, data loss prevention and permission fixes stop AI surfacing sensitive content to the wrong people.
Shadow AI Brought Into View
See which AI apps and agents are in use, and steer people towards approved tools.
Evidence for Boards and Auditors
Policies, registers and audit trails show how AI decisions are made and checked.
Guardrails That Scale
Controls apply to new content, users and agents automatically, not just to today's pilot.
Each service converts governance principles into practical policies and technical controls that can operate across your AI environment.
Responsible AI Policy & Acceptable Use
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Data Oversharing Assessment & Remediation
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Sensitivity Labels & Data Loss Prevention
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Agent Register & Access Model
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Monitoring & Audit Readiness
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We write or refine your AI policy, acceptable-use rules and approval process, with named owners and risk tiers that match how your organisation actually uses AI day to day. Staff get plain-language guidance they can follow.
Using Microsoft Purview Data Security Posture Management and SharePoint Advanced Management, we find overshared sites and unlabelled sensitive files, then fix permissions with your site owners, starting with the sites that hold your most sensitive content.
We configure Purview sensitivity labels and DLP policies covering Microsoft 365 Copilot and Copilot Studio agents, so sensitive content is handled consistently in AI responses and protected wherever it travels.
We record every agent with its owner, data sources and permissions, then apply least-privilege access through Microsoft Entra so agents only reach the systems and data they need.
We set up auditing of AI interactions, alerts for risky use and a regular review cycle, giving risk and compliance teams a clear trail when auditors, clients or regulators ask questions.
Teams use approved AI with confidence because the rules are clear and easy to follow.
Sensitive content is labelled, protected and kept out of answers for people who should not see it.
You can show boards and regulators how AI is controlled, with records to back it up.
People choose approved tools because they are easier and safer.
New Copilot users and agents inherit controls from day one, so growth does not reopen old risks.
Teams use approved AI with confidence because the rules are clear and easy to follow.
Sensitive content is labelled, protected and kept out of answers for people who should not see it.
You can show boards and regulators how AI is controlled, with records to back it up.
People choose approved tools because they are easier and safer.
New Copilot users and agents inherit controls from day one, so growth does not reopen old risks.
Establish practical policies, data protection, ownership, and technical guardrails that allow your teams to use AI confidently without losing control as adoption scales.




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Learn moreAI governance is the set of policies, roles, controls and reviews that decide how AI is used in your organisation. It matters now because tools like Microsoft 365 Copilot and Copilot Studio agents work with real business data. Without clear rules, sensitive information can surface in answers, agents multiply without owners, and you cannot show auditors how decisions are made.
AI guardrails are the practical controls that put your AI policy into effect. In a Microsoft environment they include sensitivity labels and data loss prevention in Microsoft Purview, permission clean-up in SharePoint, identity and access rules in Microsoft Entra, and monitoring of AI interactions. Good guardrails stop risky activity while keeping everyday, approved work fast and simple.
Yes. We align policies, roles, risk assessments and lifecycle controls to ISO/IEC 42001, the international standard for AI management systems, and use the NIST AI Risk Management Framework for risk language. Alignment helps you prepare for certification if you choose to pursue it, but certification itself is issued by an accredited certification body, not by us.
We start by finding out which AI apps and agents people already use, through Microsoft Purview reporting and your existing security tools. Then we agree which tools are approved, restrict risky ones where needed, and make approved options easy to reach. Banning AI outright rarely works. Giving people a safe, convenient alternative usually does.
Yes. Microsoft Purview supports data classification, sensitivity labels and data loss prevention for agents built in Microsoft Copilot Studio and Microsoft Foundry, as well as for Microsoft 365 Copilot. We add an agent register that records each agent's owner, data sources and permissions, so every agent is accountable, whether your team built it or bought it.
Governance is ongoing, not a one-off project. New content, users and agents keep arriving, so we recommend regular reviews of oversharing, policy exceptions and agent access. Many organisations then move to a formal AI risk and compliance assessment, or hand day-to-day monitoring to an AI managed service so controls keep pace with adoption.
The National AI Centre published the Guidance for AI Adoption in October 2025. It sets out six essential practices: decide who is accountable, understand impacts, manage risks, share essential information, test and monitor, and maintain human control. We map your policy, register and controls to these practices and to the Privacy Act 1988. Final compliance depends on your obligations.
Yes. We work with organisations across Australia, including Sydney, Melbourne, Adelaide and Wollongong, with workshops held on-site or online. Local account management is backed by our wider Microsoft security and AI delivery team, so policy decisions and technical controls are designed together rather than handed between separate providers.
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