Unique Blog 2024

Introducing Sub-Agents on Unique AI

Written by Charlotte Rudigier | Jan 27, 2026 2:16:05 PM

Financial services workflows are inherently complex. Users interact with dozens of fragmented tools and data sources, with queries ranging from simple actions to multi-step, high-context workflows.

A single, general-purpose agent often fails to meet the standard required for high-value use cases because it:

  • Sacrifices Quality: Accuracy degrades as the toolset expands.

  • Increases Cognitive Load: Users must manage the AI rather than the outcome.

  • Limits Customization: Enterprise-specific logic is difficult to embed in a "one size fits all" model.

The Result: Generic AI assistants that feel slow or unreliable for the rigors of finance.

 

2. The Solution: Sub-Agents

 

Sub-Agents are focused, domain-specific AI agents orchestrated within Unique AI. Each Sub-Agent is optimized for a specific task, toolset, or business domain.

 

How It Works

  1. User Query: The user interacts with the Unique AI interface.

  2. The Orchestrator: Unique AI dynamically determines the complexity and context.

  3. Routing:

    • Main Agent: Handles general logic and simple queries.

    • Sub-Agent: Invoked for complex, high-context, or domain-specific tasks.

 

3. FSI Use Cases

 

By grouping Sub-Agents under specialized Parent Agents, Unique AI creates "Digital Teams" for specific business units.

Below are some examples where sub-agents bring value: 

 

📊 Investment Research & Portfolio Management

Parent Agent: Portfolio Manager Agent

Sub-agents:

  • Market Data Agent: Pulls real-time prices, volumes, and macro indicators.

  • Fundamental Analysis Agent: Analyzes financial statements and key ratios.

  • News & Sentiment Agent: Scans earnings calls, news, and social sentiment.

  • Risk Agent: Assesses VaR (Value at Risk), drawdowns, and correlations.

 

🏦 Wealth Management & Client Advisory

Parent Agent: Client Advisor Agent

Sub-agents:

  • Client Profiling Agent: Evaluates risk tolerance and life goals.

  • Tax Optimization Agent: Manages capital gains and tax-loss harvesting.

  • Asset Allocation Agent: Handles technical portfolio construction.

  • Product Suitability Agent: Automates regulatory suitability checks.

  • Market Education Agent: Translates complex decisions into plain language for clients.

 

🛡️ End-to-End KYC Orchestration

Parent Agent: Primary KYC Agent

Sub-agents: 

  • Document Verification Agent: Validates ID documents (passport, national ID), checks MRZ, holograms, expiration.

  • Biometric Matching Agent: Performs face match between selfie and ID, liveness detection.

  • Sanctions & PEP Screening Agent: Screens against OFAC, UN, EU, local sanctions lists.

  • Address Verification Agent: Validates utility bills, bank statements, or e-proof of address.

  • Risk Scoring Agent: Aggregates signals into a customer risk profile.

 

4. Key Value Pillars

 

  • Specialization & Quality

Each Sub-Agent operates with a dedicated system prompt and a curated set of tools. This ensures structured, accurate, and highly relevant outputs that a general model cannot match.

  • Enterprise-Grade Scalability

Our modular architecture prevents "tool sprawl." New capabilities and MCPs connectors can be added without overloading the main agent or degrading the user experience.

  • Seamless User Experience

Sub-Agents can be fully transparent or invisible. Users interact with outcomes, not tools, reducing cognitive friction and delivering a cleaner, more intuitive interface.

  • Customization as a Competitive Advantage

Sub-Agents are tailored per client, industry, or use case. This is ideal for institutions with proprietary data and strict compliance requirements.