Innowise Sp. z o.o logo

AI solution to check documents for regulatory compliance issues

MNDA

Seed to Series A Startup
Company Type
N/A, France
Location
Project work
Engagement Model
11 - 25 people
Team Size
6 - 9 Months
Duration
$250K - $500K
Budget

About

Innowise built an AI compliance software that leverages advanced algorithms to check whether documents fit the regulations. Our client is a fintech startup building a solution that would help clients automatically check their documents and contracts for regulation compliance and edit them if necessary.

Challenge, approach, and impact

Challenge

Our client’s customers faced challenges managing their internal documents. Due to the large volumes of contracts and agreements flowing through the legal departments regularly, it took a lot of time for employees to check all of them for compliance. They had to manually go through each entry and edit them if they were compiled incorrectly.

Solution

Innowise engineers developed an AI compliance software solution for a fintech startup, using advanced algorithms to scan contracts and identify those not fitting predefined regulations. It automatically suggests corrections aligned with regulatory norms and tracks updates to keep documents current with the latest requirements. Hosted on blockchain for enhanced security in document flow and compliance checks, the tool boosts document management speed by 58% and transparency by

Features

AI-Driven Contract Processing Advanced AI automates contract reviews, scanning for regulatory compliance to slash review time and effort. It flags non-compliant issues using NLP and ML for rapid detection.​ Regulatory Compliance Optimization Generates compliant draft contracts from templates, auto-adding missing clauses aligned with legal standards. Adapts to regulation changes, minimizing oversight risks

Features

Template Management Standardization framework ensures consistent contract patterns across the system, simplifying adaptation to regulatory and business changes while maintaining uniform documentation.​ Critical Points Identification Automatically flags key contract elements like negotiable terms and deal-breakers to preempt negotiation hurdles and execution risks.

Technology Layers

Business Layer Customizable node layer tunes the software to business needs, enabling custom parachain connections for file/process management. Supports rules like scheduled re-checks and access rights for enhanced integrity/security.​ AI Layer Dedicated parachain links business layer to custom AI for compliance analysis across document types, recognizing regional/business features. Alerts non-compliant elements, ensures blockchain transparency, and adapts to any regulations

Technology Layers

Data Storage Layer Isolated parachains and file systems securely store business data, with each interacting only with its business unit's nodes for protected, seamless flow.​ Relay Chain Manages nodes and parachains, validating transactions to ensure secure, efficient communication and platform messaging integrity.​ Permission Tree Configures precise user access rights from restricted to admin levels, enabling secure internal/external privilege management for enhanced gover

How we built

AI & ML Solutions
ChatGPT
Data Analytics and Visualization
Integrations

Testimonials

Anonymous

Verified Testimonial

As a team member who contributed to building this AI-based compliance solution, I am proud of its transformative impact on legal compliance processes. Our advanced AI algorithms and blockchain integration have minimized errors and delays while ensuring real-time adaptation to regulatory changes. This solution not only boosts efficiency but also enhances transparency and accountability, empowering organizations to manage compliance risks confidently and securely. It represents a significant technological advancement for regulatory adherence in any industry.

Team structure

Client team

Olivier

Product Owner

The client stakeholders were working closely with the team at Innowise Sp. z o.o

Agency team

Project Manager

Production

Business Analyst

Production

Domain/Blockchain Expert

Production

Solutions Architect

Production

UI/UX Designer

Production

ML Engineer

Production

Frontend Developer

Production

Backend Developer

Production

QA Engineer

Production

DevOps

Production

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