AI Agents in Action Foundations for Evaluation and Governance 2025
Page 25 of 34 · WEF_AI_Agents_in_Action_Foundations_for_Evaluation_and_Governance_2025.pdf
CASE STUDY 4
Personal assistant – governance considerations
Agent characteristics
1. Function
3. Predictability
4. Autonomy
5. AuthorityAssists users by organizing schedules, managing communication
and coordinating
Deterministic Non-deterministic2. Role
Specialist Generalist
Low High
Low HighOperational context
6. Use case
It operates in the personal productivity domain,
managing tasks, communications and information across
a user’s digital environment to support daily coordination
and decision-making.
7. Environment
Simple ComplexAgent characteristics
Personal assistant – governance
considerations
Governance focuses on scaling oversight in line with the
personal assistant’s autonomy, authority and environmental
complexity. Unlike narrow task agents, a personal assistant
operates across multiple platforms such as email, calendars,
messaging and enterprise tools, raising questions about the
extent of information it can access, interpret and act upon on
behalf of the user. As integration deepens and authority expands
(e.g. from drafting messages to sending them, or booking travel)
governance mechanisms must increase.Key governance risks include data overreach, privacy
violations, prompt manipulation and unauthorized actions
such as unintended communication.
Mitigation measures include least-privilege access, consent-
based data sharing, input and output filtering, audit logging,
and human approval for sensitive actions. Adaptive controls
should reduce permissions upon detecting anomalies or
policy breaches, supported by continuous monitoring and
incident reporting.
AI Agents in Action: Foundations for Evaluation and Governance
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