Westminster City Council's Westminster VCS Homelessness Prevention Training Pilot
Contract Overview
Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.
AI Contract Overview
Westminster City Council has awarded a contract to Neighbourly Lab for the Westminster VCS Homelessness Prevention Training Pilot, a place-based initiative aimed at strengthening early intervention and upstream homelessness prevention. The project focuses on providing training, support, and capacity building to Voluntary and Community Sector organisations to improve their understanding of housing instability and Westminster pathways. Key deliverables include the co-design of a holistic resource package for the community and the provision of organisational development support to enhance internal processes within the VCS. The pilot will initially launch in North Paddington with an initial contract value of 249,451 pounds excluding VAT. Starting September 23, 2026, the initiative will operate for an initial 12-month period, with the goal of eventually expanding the training modules and learning to the wider Westminster area. Based on performance and ongoing evaluation, there is a possibility for the contract to be extended for an additional 12 months.
General Info
Documents
1AI Contract Breakdown
Uniform Contract FormatContract not broken down yet
CLEATUS splits the solicitation into Uniform Contract Format (UCF) sections: scope, pricing, deliverables, and evaluation criteria.
Timeline
Organization & Contact Information
Full Description
Similar Contracts
Same NAICS industry code
Ready to Pursue This Opportunity?
Get AI-powered intelligence on this solicitation and the ones like it
Every page of the solicitation package shredded into a compliance breakdown
AI-powered matching based on your capabilities and past performance
Competitor and incumbent history on the requirement
Automated alerts on amendments, Q&A deadlines, and award
Join 750+ contractors already using CLEATUS
