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Use Cases

Synaptiq is designed for any organization that wants to replace static dashboards, rigid workflows, and manual UI building with AI-native, conversational interfaces. Below are detailed use cases across industries — each demonstrating how Synaptiq's dynamic UI generation, multi-agent orchestration, and semantic data layer solve real business problems.

Why AI-Native Applications Matter

The shift from traditional software to AI-native platforms is driven by fundamental limitations in how businesses interact with their data:

  • 80% of business users struggle to extract insights from existing BI tools — the dashboards they need either don't exist or require IT tickets to build
  • Enterprise software wastes 3–4 hours per employee per day on navigation, form-filling, and context-switching between tools
  • Multi-agent AI systems can now coordinate specialized reasoning that would take human teams days to complete
  • Dynamic UI generation means the interface adapts to the question, not the other way around

Synaptiq eliminates the gap between "I need this information" and "here it is" — from days to seconds.

🏥 Healthcare — ABA Therapy Goal Generation

Reference Implementation

This use case is implemented in the spectrayan-health repository and serves as the reference workflow for Synaptiq's multi-agent orchestration engine.

The Challenge

Applied Behavior Analysis (ABA) therapy requires comprehensive, individualized treatment plans for each client. Developing these plans involves:

  • Multiple specialists — ABA therapists, speech-language pathologists, occupational therapists, and cognitive behavior analysts must all contribute goals
  • Cross-domain coordination — goals from different specialists must be aligned, not contradictory
  • Quarterly milestones — plans span 12 months with measurable quarterly checkpoints
  • Regulatory compliance — HIPAA requirements, documentation standards, and evidence-based practice guidelines

Currently, this process takes 2–3 weeks of manual coordination across specialists, with goals often created in silos and reconciled afterward.

How Synaptiq Solves It

Synaptiq's multi-agent workflow engine automates the entire goal generation process:

flowchart TB
    Input["📋 Client Profile Input<br/>Age, diagnosis, assessments,<br/>current skill levels"]

    subgraph Supervisor["🧠 Supervisor Agent"]
        direction TB
        Coord["Coordinates specialist agents<br/>Manages cross-domain synthesis"]
    end

    subgraph Specialists["Specialist Agents"]
        direction LR
        ABA["🎯 ABA Assistant<br/>Behavior reduction<br/>Skill acquisition<br/>Social goals"]
        ST["🗣️ Speech Therapy<br/>Communication goals<br/>Language development<br/>Pragmatic skills"]
        OT["🤲 Occupational Therapy<br/>Fine/gross motor<br/>Sensory processing<br/>Daily living skills"]
        CBT["🧩 Cognitive Behavior<br/>Emotional regulation<br/>Coping strategies<br/>Self-monitoring"]
    end

    Output["📊 Consolidated 12-Month Plan<br/>Quarterly milestones<br/>Cross-domain aligned goals"]

    Input --> Supervisor
    Supervisor --> ABA & ST & OT & CBT
    ABA & ST & OT & CBT --> Supervisor
    Supervisor --> Output

Step-by-Step Workflow

  1. Client Profile Input — The clinician enters the client's demographics, diagnosis (e.g., ASD Level 2), current assessments (VB-MAPP, Vineland-3), and prioritized areas of concern

  2. Supervisor Agent Delegation — The supervisor agent analyzes the profile and delegates to four specialist agents simultaneously:

    Generates behavior reduction goals (e.g., reducing tantrum frequency), skill acquisition targets (e.g., independent task completion), and social skill objectives. Goals follow the SMART framework with baseline, target, and measurement criteria.

    Creates communication goals across receptive language, expressive language, and pragmatic skills. Addresses specific deficits identified in the assessment (e.g., "increase MLU from 2.1 to 3.5 words").

    Develops goals for fine motor skills, sensory processing, and activities of daily living (ADLs). Includes adaptive equipment recommendations and sensory diet protocols.

    Generates emotional regulation objectives, coping strategy development, and self-monitoring skills. Addresses anxiety management, frustration tolerance, and cognitive flexibility.

  3. Cross-Domain Synthesis — The supervisor agent reviews all specialist outputs for:

    • Contradictions — e.g., one specialist increasing social demands while another reduces them
    • Dependencies — e.g., communication goals that must precede social skills goals
    • Resource conflicts — e.g., scheduling overlaps in therapy sessions

  4. Consolidated Output — A single, unified 12-month plan with quarterly milestones

Example Output

Sample Goal — Quarter 1

Domain: Applied Behavior Analysis — Social Skills

Field Value
Goal Client will initiate peer interactions during structured play activities
Baseline 0 initiations per 30-minute observation period
Q1 Target 2 initiations per session with adult prompting
Q2 Target 4 initiations per session with visual support only
Q3 Target 6 initiations per session independently
Q4 Target 8 initiations per session across settings
Measurement Direct observation with frequency recording, 3x weekly
Cross-Domain Links Speech Therapy Goal #3 (requesting items from peers)

HIPAA Compliance

  • No PHI in LLM prompts — client identifiers are replaced with anonymized tokens before agent processing
  • Audit trail — every agent interaction is logged with timestamps and tenant isolation
  • Data residency — all data stays within the organization's MongoDB instance
  • Access control — RBAC ensures only authorized clinicians can view/edit treatment plans

💰 Financial Services — Portfolio Advisory

The Challenge

Wealth management firms need to:

  • Provide personalized portfolio analysis to clients on demand
  • Generate compliance-ready reports for regulatory filings
  • Monitor risk exposure across diverse asset classes in real-time
  • Enable relationship managers (who are not data analysts) to answer complex client questions

Traditional BI tools require pre-built dashboards that can't adapt to ad-hoc questions. Building new reports takes weeks and requires engineering support.

How Synaptiq Solves It

Relationship managers interact with Synaptiq through natural language:

sequenceDiagram
    participant RM as Relationship Manager
    participant Chat as Synaptiq Chat
    participant LLM as Gemini LLM
    participant Data as Portfolio Data

    RM->>Chat: "Show me the risk exposure for<br/>the Henderson account"
    Chat->>LLM: System prompt + portfolio schema +<br/>risk dimensions + user query
    LLM->>Chat: Component DSL:<br/>kpi_card (total_value, var_95),<br/>chart (allocation_pie),<br/>data_table (holdings_detail)
    Chat->>Data: Hydrate with real portfolio data
    Chat->>RM: Interactive dashboard with<br/>drill-down capabilities
    RM->>Chat: "Compare this to the<br/>Blackwell account"
    Chat->>LLM: Context-aware follow-up
    LLM->>Chat: comparison_table + chart overlay
    Chat->>RM: Side-by-side comparison view

Dynamic Dashboard Components

When a relationship manager asks "Show me a risk analysis for the Henderson portfolio", Synaptiq generates:

Component Content
KPI Cards Total portfolio value ($4.2M), YTD return (+7.3%), VaR 95% ($142K), Sharpe ratio (1.24)
Allocation Pie Chart Equity 55%, Fixed Income 25%, Alternatives 12%, Cash 8%
Risk Heatmap Sector concentration risks — Technology (28%, HIGH), Healthcare (15%, MEDIUM)
Holdings Table Sortable table with ticker, allocation, return, beta, and risk score
Suggestion Chips "Rebalance to target", "Generate client report", "Compare to benchmark"

Compliance Workflow

flowchart LR
    Query["RM asks:<br/>'Generate quarterly<br/>compliance report'"]
    Agent1["📊 Portfolio<br/>Analysis Agent"]
    Agent2["⚖️ Compliance<br/>Check Agent"]
    Agent3["📄 Report<br/>Generation Agent"]
    Output["PDF + Dashboard<br/>with audit trail"]

    Query --> Agent1 --> Agent2 --> Agent3 --> Output

The multi-agent workflow ensures:

  • Suitability checks — portfolio aligns with client's stated risk tolerance and investment objectives
  • Concentration limits — no single position exceeds regulatory or internal limits
  • Performance attribution — returns are decomposed by factor and asset class
  • Audit trail — every data access and report generation is logged for SOC 2 / SEC compliance

Regulatory Compliance

Requirement Synaptiq Feature
SOC 2 Type II Immutable audit logs for all data access and report generation
SEC Rule 17a-4 Conversation history preserved with timestamps and user attribution
FINRA Suitability Automated suitability checks before portfolio recommendations
Data Residency Self-hosted deployment keeps all data on-premises

🛒 E-Retail — Intelligent Catalog & Customer Engagement

The Challenge

E-commerce businesses face:

  • Catalog discovery — customers can't find products that match complex, multi-attribute preferences
  • Seasonal agility — marketing teams need to rapidly update product positioning and campaigns
  • Personalization at scale — every customer should see relevant products, not a generic feed
  • Operations visibility — operations teams need real-time dashboards that adapt to the question being asked

How Synaptiq Solves It

Conversational Product Discovery

Instead of filtering through rigid faceted search, customers (or internal teams) interact naturally:

Conversational Shopping

User: "Find me summer dresses under $50 in blue or teal, size M, with good reviews"

Synaptiq generates:

  • Filter Summary — Active filters: Category=Dresses, Season=Summer, Price<$50, Color=Blue/Teal, Size=M, Rating≥4★
  • Item Grid — 12 matching products with images, prices, ratings, and "Quick View" actions
  • Comparison Table — Top 3 products compared across price, material, rating, return policy
  • Suggestion Chips — "Similar in green", "Add to wishlist", "Check store availability"

Inventory Management Workflow

flowchart TB
    Trigger["📉 Low Stock Alert<br/>SKU #4521 below threshold"]

    subgraph Workflow["Multi-Agent Inventory Workflow"]
        Inventory["📦 Inventory Agent<br/>Check warehouse levels,<br/>in-transit orders,<br/>lead times"]
        Pricing["💰 Pricing Agent<br/>Analyze demand elasticity,<br/>competitor pricing,<br/>margin targets"]
        Marketing["📢 Marketing Agent<br/>Adjust campaign spend,<br/>update product positioning,<br/>A/B test variations"]
    end

    Dashboard["📊 Operations Dashboard<br/>KPI cards · Charts · Action items"]

    Trigger --> Inventory
    Inventory --> Pricing --> Marketing
    Marketing --> Dashboard

Seasonal Campaign Management

Scenario Natural Language Query Generated UI
Holiday planning "Show me Black Friday performance vs. last year" KPI cards (revenue, orders, AOV), line chart (hourly traffic comparison), data table (top sellers)
Inventory forecasting "Which SKUs will we run out of before Christmas?" Risk-scored table with reorder recommendations, timeline chart, action buttons
Campaign ROI "Compare email vs. social ad ROI for summer campaign" Side-by-side comparison table, funnel charts, recommendation cards
Customer segmentation "Show me high-value customers who haven't purchased in 90 days" Cohort analysis chart, customer cards with contact actions, workflow trigger

🏢 Enterprise Operations — Internal Tool Automation

The Challenge

Every enterprise runs dozens of internal tools — HR onboarding forms, IT support ticketing, executive dashboards, procurement workflows. Each requires custom development, maintenance, and a learning curve for users.

How Synaptiq Solves It

HR Onboarding Assistant

Employee: "I'm starting on Monday — what do I need to complete?"

Synaptiq generates:
├── Progress Tracker (4 of 12 tasks completed)
├── Dynamic Form (tax withholding, emergency contact, equipment request)
├── Timeline (orientation schedule, training milestones)
├── Action Cards (badge request, parking assignment, team introductions)
└── Suggestion Chips: "IT equipment request", "Benefits enrollment", "Meet my team"

IT Support with Knowledge Base RAG

Synaptiq's RAG pipeline ingests IT documentation, runbooks, and FAQ articles into the vector store. When employees ask questions, the system retrieves relevant context and generates accurate, source-cited answers:

Query RAG Context Generated Response
"How do I reset my VPN?" IT Runbook §4.2 Step-by-step guide with screenshots, "Still not working?" escalation button
"What's the policy on remote work?" HR Policy Doc v2.1 Policy summary with key dates, exception request form, manager approval workflow
"My laptop won't connect to the printer" Known Issues KB Troubleshooting checklist, driver download link, IT ticket creation button

Executive Dashboard Generation

A VP of Engineering asks: "Show me engineering velocity for the last 3 sprints"

Synaptiq generates a complete dashboard:

  • KPI Cards — Story points delivered (142, +12% vs target), Cycle time (3.2 days, -0.5), Sprint burndown completion (94%)
  • Bar Chart — Points by team (Platform: 48, Mobile: 36, Backend: 58)
  • Trend Line — Velocity over 6 sprints with trendline
  • Data Table — Detailed sprint breakdown with drill-down
  • Action Items — "Generate sprint report", "Compare to Q1", "Share with stakeholders"

🎓 Education — Personalized Learning Plans

The Challenge

Educational institutions need to:

  • Create individualized education plans (IEPs) that account for each student's unique learning profile
  • Track progress across multiple dimensions (academic, behavioral, social-emotional)
  • Coordinate between teachers, specialists, and parents
  • Meet IDEA compliance requirements with documented progress monitoring

How Synaptiq Solves It

Multi-Agent Curriculum Design

flowchart TB
    Assessment["📝 Student Assessment<br/>Academic levels, learning style,<br/>IEP goals, accommodations"]

    subgraph Agents["Specialist Agents"]
        Math["📐 Math Specialist<br/>Grade-level targets,<br/>intervention strategies"]
        Reading["📚 Reading Specialist<br/>Fluency goals,<br/>comprehension scaffolds"]
        Behavior["🧠 Behavior Specialist<br/>Self-regulation goals,<br/>positive reinforcement"]
        Social["🤝 Social Skills<br/>Peer interaction goals,<br/>group participation"]
    end

    Plan["📊 Personalized Learning Plan<br/>Weekly schedules, progress metrics,<br/>parent communication templates"]

    Assessment --> Math & Reading & Behavior & Social
    Math & Reading & Behavior & Social --> Plan

Progress Dashboard

Teachers ask: "Show me Jordan's progress this quarter"

Component Content
Progress Tracker Overall: 72% of IEP goals on track
Radar Chart Skill dimensions: Math (85%), Reading (68%), Writing (55%), Social (78%)
Timeline Milestone achievements with dates and evidence notes
Comparison Current vs. beginning of year vs. grade-level expectations
Action Cards "Schedule parent conference", "Update IEP goals", "Generate progress report"

Summary

Use Case Domain Key Synaptiq Features Outcome
ABA Therapy Goals Healthcare Multi-agent orchestration, cross-domain synthesis 2-3 weeks → minutes
Portfolio Advisory Finance Dynamic dashboards, compliance workflows Self-service analytics for RMs
Catalog Discovery E-Retail Conversational search, dynamic item grids Higher conversion, faster campaigns
Internal Tools Enterprise RAG knowledge base, dynamic forms Eliminate custom tool development
Learning Plans Education Multi-agent curriculum design, progress tracking Personalized IEPs at scale

No matter your industry or team size, if your users need to interact with data, generate reports, or orchestrate complex workflows — Synaptiq replaces weeks of development with seconds of conversation.