Cloud-Based Workflow, Agentic AI, Automation, and E-Permitting System

Overview

Data Analytics, AI & Cloud Hosting

Charleston, West Virginia, United StatesPosted 8 days agoDeadline: May 27th, 2026

Fit Score

Settle Intelligence

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SUMMARY

Request for a vendor to supply a comprehensive cloud-based e-permitting SaaS solution featuring agentic AI, workflow automation, GIS integration, and advanced document processing for a government authority in Charleston, West Virginia.

KEY REQUIREMENTS

Must hold current FedRAMP, StateRAMP, or SOC 2 Type II certification
Must ensure compliance with all applicable data privacy, cybersecurity, and AI governance procedures
Must sign a confidentiality agreement upon contract award
Must provide a standalone HITL Workflow Interface
Must provide technical support during standard business operations hours
Must provide a dedicated Technical Account Manager
Must provide annual SOC 2 Type II audit report
Must provide complete data export within 30 days of contract termination

BUDGET

Estimate

$500,000 – $2,000,000

CONTRACT DURATION

60 months

TIMELINE

Solicitation issued on April 29th, 2026.

Question submission deadline on May 6th, 2026.

Solicitation closes on May 27th, 2026.

QUESTION DEADLINE

May 6th, 2026

Issuing Agency

West Virginia Department Of Environmental Protection

Organization overview and procurement intelligence available on paid plans.

See Issuer Research

DESCRIPTION

The government authority in Charleston, West Virginia, is seeking a vendor to provide a cloud-based Software as a Service (SaaS) solution for workflow-based agentic AI, automation support, and a comprehensive e-permitting system. The platform will be hosted and managed by the vendor, with secure user access provided through web browsers or authorized internet interfaces. The system must integrate robust AI features, including transparent references for all AI-generated interactions within supplied documents, allowing traceability back to original sources and offering linked references.

Additional requirements include geospatial analysis and comprehensive GIS integration, with the ability to ingest and normalize diverse GIS file formats (such as Shapefile, GeoJSON, KML, CAD, DWG), and standardized coordinate systems. An AI-based drafting module should leverage Natural Language Processing (NLP) to automatically generate formatted draft permit documents. The system must employ advanced observability tools to record the full 'Chain of Thought' behind every decision, supporting document processing, analysis, and generation tasks for AI-powered permit reviews. Transparency in token-related costs is required, and the workflow interface must operate independently of legacy systems.

Source attribution

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