Introducing Sub-Agents on Unique AI

by Charlotte Rudigier
Jan 27, 2026

.jpg?length=1200&name=Blog%20Item%20(38).jpg)

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.