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Inspection and Imports, Recalls Compliance and Enforcement System

Overview


Software, Web & Mobile Development
Maryland, United StatesPosted 3 months agoDeadline: March 6th, 2026

Fit Score


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SUMMARY


Seeking vendor for an end-to-end compliance and enforcement IT system with AI/ML integration for inspections, imports, recalls, and regulatory automation in Maryland.

DESCRIPTION


A government entity in Maryland is seeking a qualified vendor to provide a comprehensive Inspection and Imports, Recalls Compliance and Enforcement System. The solution must feature end-to-end automation for compliance and enforcement processes, supporting inspections, imports management, recalls, and regulatory operations. Key requirements include the development of integration and interoperability strategies for transitioning from legacy systems while ensuring smooth collaboration with other organizations and stakeholders.

The vendor will be responsible for delivering the full range of IT architecture support to facilitate efficient implementation and minimize the costs associated with developing and maintaining a robust, automated system. The project also demands strategic adoption and integration of artificial intelligence and machine learning technologies. Scope of work includes creating AI adoption roadmaps, conducting AI readiness assessments, performing feasibility studies, and executing cost–benefit analyses for the deployment of AI solutions.

The selected partner must be capable of designing and implementing AI and machine learning models to enhance regulatory processes—ranging from automated risk scoring and predictive modeling to project reporting and knowledge management. Additional deliverables encompass natural language processing for regulatory document analysis, computer vision for inspection-related image processing, and AI-powered rules engines to optimize decision support and workflow automation.

This initiative supports Maryland’s commitment to modernizing regulatory compliance through advanced technology and intelligent automation.

Source attribution

This Settle analysis is based on the issuing organization’s public RFP listing.

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