AI AGENT MANAGEMENT
A structured platform designed to meet immediate market needs while supporting a clear long-term product vision for automated security workflows.
The Challenge
Problem: Legacy IT operations relied on fragmented, human-managed tasks. Goal: Transition workflows into an integrated, AI-driven autonomous ecosystem.
The Mission
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Led end-to-end design of a centralized command center to monitor autonomous AI agents.
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Consolidated disjointed workflows (backups, threats, disaster recovery) into one interface.
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Shifted user roles from manual execution to strategic oversight.
The Strategy
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Analyzed the AI Security Posture Management (AISPM) landscape on an aggressive 6-month timeline.
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Anticipated operational impacts to create a milestone-driven strategic blueprint.
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Deconstructed massive product scope into manageable, on-time delivery phases.
Scope & Engineering Partnership
MVP Focus
Collaborated with engineering leads to prioritize high-value, read-only data under tight technical constraints.
Dual-Track Process
Finalized immediate MVP specs while simultaneously architecting a long-term North Star vision.
Outcome
Validated core workflows early while preventing engineering and design debt.
Predicted impact
By unifying fragmented security workflows and transitioning manual IT tasks to autonomous AI oversight, this centralized platform is projected to reduce incident response times by 40% and lower operational overhead for enterprise security operations centers (SOCs) within the first two quarters post-launch.
Project overview
Role
UX Designer
Timeline
6 months
Team
Collaborated with engineering and project management teams
Responsibilities
Analysis, mockups, and customer feedback