Human-Style Reasoning Architecture
Lucidis operates using a multi-step reasoning process similar to how a skilled operations team member would handle requests.
The Request Lifecycle
1. Understanding
When a request comes in, Lucidis:
- Analyzes the intent and context
- Identifies what information is needed
- Determines which systems to query
2. Information Gathering
Lucidis retrieves relevant data by:
- Querying connected databases and APIs
- Accessing customer records and history
- Pulling relevant documentation or policies
- Searching across multiple data sources when needed
3. Reasoning & Decision Making
With information gathered, Lucidis:
- Evaluates the request against business rules
- Determines appropriate actions
- Checks if approvals are required
- Validates responses for accuracy
4. Taking Action
Based on decisions, Lucidis can:
- Update records in your systems
- Send notifications or communications
- Create or route tickets
- Trigger workflows in other tools
5. Response
Finally, Lucidis:
- Crafts a natural language response
- Provides relevant information and next steps
- Routes to humans when needed
- Logs all actions for audit trail
Key Architectural Principles
Grounded in Your Data - Lucidis retrieves actual information rather than generating content, ensuring accuracy.
Rule-Based Guardrails - You define what Lucidis can access and what actions it can take autonomously.
Human-in-the-Loop - Complex or sensitive decisions can require human approval before execution.
Continuous Learning - Lucidis improves by learning from human feedback and corrections.