AI is already in your environment: understanding how different tools interact with your data
This is changing how every business operates and how day to day processes are completed. Confidential information, client accounts and internal documents are most likely being passed through or viewed by AI multiples time a day. In many businesses, AI is in contact with this information without clear oversight on how these systems are being used or where organisational data is being retained.
Do know how AI is being used in your workplace? Have you tested access to internal documentation?
The type of AI platform makes a difference
Copilot operates within Microsoft 365 through Entra ID and existing Microsoft permissions. The information it surfaces reflects the same access structures already governing collaboration inside SharePoint, Outlook and Teams. This keeps AI activity connected to the identity and access controls already established across the environment.
External AI platforms operate differently. ChatGPT, Claude and Gemini are commonly accessed through browser sessions or personal accounts operating outside Microsoft 365 governance oversight. Staff may paste client information or internal notes into these tools during routine work. Once information enters those platforms, the organisation may have limited oversight around retention model usage or where that information is processed.
AI capability is also becoming embedded into software already used across financial services environments. Meeting intelligence tools can generate summaries from conversations while CRM platforms surface AI-driven prompts during workflow activity. Research platforms now return AI-generated responses inside the application itself.
Over time, organisational data begins moving through multiple AI environments operating under different data handling conditions.
Identity and access can change AI behaviour
Identity governance plays a larger role in how organisational data is surfaced across the organisation.
Microsoft 365, Entra ID defines the identity boundary through which Copilot interacts with information. Existing permissions determine which content available through your Microsoft Modern Workplace can appear through AI-driven search and summarisation. Records and internal knowledge continuously move between collaboration spaces during normal work. AI systems now interact with that same information structure, which places greater importance on maintaining access aligned to operational responsibility.
As AI capability expands identity governance further shapes how confidently organisations can maintain control over the information AI systems can access throughout the environment.
AI increases visibility into operational maturity
AI systems are interacting broadly with organisational data, this means the maturity of the environment becomes easier to observe.
Information ownership remains clearer when access responsibilities continue reflecting how teams currently operate across the organisation. Permissions also remain easier to govern when environments are reviewed as collaboration patterns evolve over time.
This is shifting AI governance discussions toward the condition of the environment itself. Organisations with clear ownership and structured access practices are often better positioned to introduce AI capability into connected workflow activity.
AI capability reflects the maturity of the environment it operates within.
Financial services environments carry additional governance expectations
Questions around governance oversight are important in financial services firms as AI systems begin interacting with client information.
For many AFSL holders here are some practical questions you should be asking.
- Which AI platforms are staff already using during client-related work?
- Are staff entering regulated information into personal AI accounts?
- Which AI tools retain prompts or uploaded material outside the organisation?
- Does the business have oversight around where AI-generated outputs are stored or shared?
Why Danet
Danet works with organisations to structure Microsoft 365 environments where governance oversight remains aligned with the way AI capability evolves across connected platforms and the information within them.
Within financial services environments, this includes maintaining oversight around how AI systems interact with information moving through regulated workflow activity.
For financial services organisations, these themes are explored further in Danet’s AI Guide for AFSL Leaders, which examines how governance oversight shapes the way AI capability is introduced across connected Microsoft 365 environments.