Personal Assistant Rule: Govern Context Before You Grant Access
How should an agency evaluate a personal assistant tool before letting it touch client data or workflows? Before adopting a personal assistant, define a governance policy that specifies what data it may access, how that data is stored and encrypted, and who can query its memory.
By InnovaAI ResearchPublished Updated
“How should an agency evaluate a personal assistant tool before letting it touch client data or workflows?”
Before adopting a personal assistant, define a governance policy that specifies what data it may access, how that data is stored and encrypted, and who can query its memory.
Agencies often focus on the assistant's ability to save time and draft messages, ignoring how its memory is stored and who can access it. They assume the tool's default settings are secure, only to discover later that client data was exposed or that the assistant acted on manipulated context, damaging trust and creating compliance issues.
Personal assistants that build persistent context from screens, transcripts, and inboxes create a searchable record of client interactions, which is powerful but also a privacy liability if not governed. Recent incidents show autonomous agents can act unpredictably, such as posting to public wikis, and hidden prompt injections still succeed in 8.5% of scenarios, meaning an assistant's context can be manipulated. Agencies must therefore evaluate not just the assistant's features but its data governance and security posture before deployment.
- •The assistant captures screen content, meeting transcripts, or inbox data to build context.
- •The assistant integrates with project management or CRM systems that hold client information.
- •The assistant can draft or send correspondence on behalf of the agency.
- •The assistant is being considered as a layer to standardize client communication.
- •The assistant stores data locally or in the cloud with varying encryption and access controls.