The problem
What needed to change
Advisors lacked a consolidated view of portfolio health, milestones, funding readiness, engagement, and opportunity signals. Manual analysis made prioritization inconsistent and delayed intervention planning.
A multi-agent advisor intelligence platform for account analysis, portfolio risk, milestone tracking, readiness assessment, and recommendation generation.
Impact
account, portfolio, readiness, and recommendation analysis within one workflow
Hiring signal
Multi-agent decomposition, governed analytics, portfolio-level reasoning, readiness modeling, and recommendation design.
My role
Developer · solution architecture, agent logic, Fabric data integration, retrieval design, readiness analysis, and workflow orchestration
Status
An interactive trace is available.
The problem
Advisors lacked a consolidated view of portfolio health, milestones, funding readiness, engagement, and opportunity signals. Manual analysis made prioritization inconsistent and delayed intervention planning.
My approach
The platform coordinates account-analysis, portfolio-analysis, readiness, and recommendation services over a governed Microsoft Fabric data foundation. Azure AI Search contributes program guidance, definitions, and contextual evidence used during recommendation synthesis.
Architecture judgment
Advisor decisions require multiple analytical perspectives on the same account. Specialized services preserve separation of concerns, while the recommendation layer consolidates account, portfolio, readiness, and reference signals into prioritized next actions.
Architecture
The complete execution path, service boundaries, data stores, security controls, validation stages, and operational telemetry.
Implementation
Technology
Interactive trace
Run the trace to see the main workflow stages.