The Vendor is required to provide AI-driven platform that unifies state extensive military-connected ecosystem into one accessible, intelligent, and proactive experience.
- Requirement:
1. Intelligent navigation & customer journey engine
• Interpreting user intent through natural language understanding and guided prompts.
• Asking adaptive, context-aware clarifying questions to refine the user’s goals, eligibility, location, and circumstances.
• Synthesizing data across multiple systems (federal, state, county, nonprofit, educational, employment) to generate recommendations that are tailored—not generic.
• Constructing individualized resource pathways, not just lists, that reflect each user’s unique profile, stage of life, military history, benefits eligibility, and regional availability.
• Prioritizing trusted, vetted resources while maintaining the ability to expand outward in a controlled, validated way only when needed.
• Automating next-step action guidance, such as (but not limited to) connecting with a CVSO, translating MOS experience into civilian skills, finding local mental health providers, or identifying GI bill options.
• Adapting in real time as users provide new information, ensuring the journey evolves with the user’s needs.
2. Unified statewide resource intelligence database
• Federal programs
• County veterans service offices
• Local mental health, housing, and peer support providers
• Nonprofits and veteran‑serving organizations
3. Adaptive user understanding & flow logic
• Guided, rule-based question flows for consistency across populations.
• Ai-driven interpretation that converts open-ended user language into needs, eligibility factors, and searchable parameters.
4. Technical architecture
A. Multi-channel, responsive navigator interface
• Web, mobile, and chat-style interfaces
• Optional SMS, voice, or kiosk support
• Accessible design for all user populations
B. Centrally governed resource intelligence repository
• Structured, authoritative data store for all ODVS-relevant resources
• Support for versioning, updates, metadata, tags, eligibility logic, and relationships
• Ability to manage both structured and unstructured data
C. Hybrid retrieval layer: vector search + knowledge graph
• Vector-based semantic search for flexible matching
• Knowledge-graph layer to represent relationships, eligibility rules, and multi-step pathways
• Hybrid graphrag-style retrieval to improve reasoning and accuracy
D. AI understanding, recommendation, and orchestration layer
• AI services for intent detection, classification, summarization, and reasoning
• Multi-agent orchestration framework for specialized agents
• Adaptive personalization engine that adjusts recommendations based on user profile, past interactions, and real-time context
E. Event stream & telemetry layer
• Real-time capture of user actions, search behavior, drop-offs, and conversion events
• Enables system adaptability and powers the statewide performance dashboard.
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