With demands to deliver increasing numbers of affordable homes, the need to protect and monitor existing and new affordable housing (AH) provision is greater than ever. There are currently limited digital measures to monitor whether existing and new AH remains in use for its intended purpose. For example: –
- Whether tenants/owners are abusing terms of their tenancy/shared ownership agreements e.g. subletting
- Whether a tenant’s eligibility has changed e.g. checks to revisit the amount of rent payable as their circumstances change.
We envisage a piece of discovery to establish the feasibility of automating anomaly detection. Utilising a full range of sources could identify properties which are breaching their intended purpose and flagging them as ‘at risk’ of being lost from AH stock.
It will bring together multiple sources to give a comprehensive representation of the AH landscape such as data on tenants/affordability (from tenancy agreements), rent/arrears systems, Revs and Bens systems, data from Housing Associations, DWP CIS portal, planning data and other sources (e.g. Airbnb, rentaroom, etc.).
We want to ensure AH is occupied and used as it should be for the people that need it most. An automated anomaly detections system will ultimately reduce the mis-use of affordable housing provision.
- Digital leadership training (for council leaders, service managers or senior executives)
- Digital and agile awareness