Dallas College Workday #RFP-2026-1164455

Dallas College RFP for AI-Powered Smart Governance and Operational Efficiency Solution

Dallas College is seeking proposals for an AI-powered smart governance solution to enhance operational efficiency across its seven campuses in Dallas County, Texas. - Government Buyer: - Dallas College, Procurement Department, Service Center - Products/Services Requested: - Comprehensive operational efficiency solution supported by artificial intelligence - Must include a proprietary public sector data platform - AI-powered analytics for procurement intelligence, staffing optimization, enterprise strategy, and institutional decision support - Embedded consulting, real-time monitoring, benchmarking, training, maintenance, and 24/7 support - Integration with Workday and compliance with accessibility and data security standards - OEMs and Vendors: - No specific OEMs or vendors named; open to all qualified providers - Unique/Notable Requirements: - Solution must provide real-time monitoring of procurement data and benchmarking - Must offer embedded consulting and training - Compliance with accessibility and data security standards is mandatory - Integration with Workday platform required - 24/7 support and maintenance included - Proposals must be submitted electronically via the Workday Strategic Sourcing portal - Open to small, minority, service-disabled, and women-owned businesses - Period of Performance: - Initial contract term of one year, with two optional one-year extensions (up to three years total) - Place of Performance: - All Dallas College campuses and facilities in Dallas County, Texas

Description

Dallas College is seeking proposals for an innovative smart governance solution supported by artificial intelligence. The solution aims to enable data-driven procurement, headcount optimization, enterprise strategy, and custom institutional decision-support capabilities. The contract term is one year with the possibility of two additional one-year extensions. All submissions must be made electronically via the specified online portal by June 2, 2026, at 2:00 PM CST.

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