AI Digital Platform for Cannabis Banking Compliance

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Solution Overview

Problem

The cannabis banking industry faces barriers due to compliance requirements and manual processes, leading to increased onboarding times and servicing costs, with limited systems available to support these needs effectively.

Innovation Solution

An integrated digital platform utilizing artificial intelligence to streamline onboarding and compliance processes, allowing for singular data entry, automated document verification, and exception-based monitoring, reducing manual efforts and enhancing compliance and risk management.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual processes and disparate systems are used for cannabis banking, then compliance requirements can be met, but onboarding time increases and servicing costs increase

Engineering Contradiction:
ImprovecomplianceVSAvoidonboarding time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The patent combines multiple disparate systems (onboarding, compliance monitoring, risk management) into a single integrated digital platform. This integration eliminates manual data transfer between systems and enables automated workflows that maintain compliance while significantly reducing onboarding time from weeks to minutes.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent replaces manual mechanical processes with automated digital systems. AI and machine learning algorithms automatically analyze customer data, verify compliance requirements, and make decisions without human intervention, eliminating the time-consuming manual review processes while maintaining or improving compliance accuracy.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Reliability

If manual processes and disparate systems are used for cannabis banking, then compliance requirements can be met, but servicing costs increase

Engineering Contradiction:
ImprovecomplianceVSAvoidservicing costs
Core Design Contradiction:
ReliabilityVSLoss of energy

Solution Approach 1:

The digital platform enables self-service capabilities where customers can complete onboarding and compliance verification independently through automated systems. This eliminates the need for extensive manual processing by bank employees, reducing labor costs while maintaining compliance through automated monitoring and verification processes.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent changes the operational parameters from manual labor-intensive processes to automated digital processing. By transforming compliance monitoring from a manual review process to an automated AI-driven system, the platform reduces servicing costs while improving the speed and consistency of compliance checks.

Inventive Principle:
Principle #35Parameter changes

3Adaptability or versatility

If multiple disparate systems are used for onboarding, compliance monitoring, and risk management, then each function can be specialized, but system complexity increases

Engineering Contradiction:
Improvefunctional specializationVSAvoidsystem complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The digital platform is designed as a universal system that performs multiple functions (onboarding, compliance monitoring, risk management) within a single integrated architecture. This multi-functional approach maintains the specialized capabilities of each function while eliminating the complexity of integrating multiple separate systems, as all functions operate within a unified platform with shared data structures and workflows.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS20230334576A1System architecture for a digital platform
Publication Date: 2023.10.19 FINRESULTS INC
  • US20230334576A1 patent drawing
  • US20230334576A1 patent drawing
  • US20230334576A1 patent drawing

AI summary

Various embodiments of the present disclosure include a method for servicing a client account. In some embodiments, the method can include receiving information from the client. In some embodiments, the method can include determining a characteristic associated with the information. In some embodiments, the method can include determining a reactive response to the information, based on the characteristic associated with the information, using artificial intelligence, wherein the reactive response includes presenting a prompt to the user, and wherein the prompt is a prompt that requests additional information from the user specific to the determined characteristic.