Session overview

AI is creating new opportunities for housing associations to improve services, reduce pressure on colleagues and respond more effectively to resident needs. One of the most immediate and practical areas of opportunity is contract management, where housing providers are often managing large volumes of supplier agreements, schedules, invoices and service obligations across complex property portfolios.

This session will explore how housing associations can use low-cost, quick-to-implement AI capability to help colleagues better understand, interrogate and manage contract information, supporting improved services to residents. It will look at how to begin the journey of learning how to deploy AI and address some of the most common concerns, including data security, accuracy and risk. We will share a real use case to show how this capability can be applied in a practical housing context.

Social housing providers are sitting on vast volumes of documents — invoices, contracts, schedules but most decisions still rely on manual interpretation. That creates cost leakage, inconsistency, and delay. In contract management, this can mean missed obligations, poor visibility of supplier performance, difficulty challenging costs, and limited ability to extract full value from existing agreements.

The case study demonstrates how AI can move beyond insight into practical, operational decision-making across property functions, helping teams identify value leakage, understand contractual commitments and make better-informed decisions more quickly.

Key takeaways

By attending this session, participants will:

Understand how low-cost, quick-to-implement AI can support better services for residents through more effective contract management

Learn how to get started on the journey of deploying AI in practice

Explore ways to mitigate common concerns, including data security, accuracy and trust

See a real example of a use case that shows how this capability can be applied to contracts, invoices and property-related documentation

Gain practical insight into how AI can support colleagues without overcomplicating delivery

Understand how AI can help organisations move from passive document storage to active contract intelligence

About the speakers

Phil McCavish – Transformation Partner, Rannoch Associates
Phil is a senior business transformation expert with more than 25 years’ experience of working with CEOs and their leadership teams to deliver sustainable transformational change in large, complex organisations.

He has worked with clients across a broad range of sectors including housing, infrastructure, technology, retail and financial services. Phil has helped organisations deal with the challenges associated with growth, post-merger integration and market disruption, leading programmes to help organisations identify and implement the changes needed to realise their strategic goals.

Marco Mormone – Senior Advisor, Rannoch Associates
Marco is a strategic advisor, investor and business angel. He is particularly interested in innovation, transformation and the best use of data science to bring pragmatic financial outcomes to fruition. He has a proven track record in founding, growing and exiting leading innovative companies.

Typically operating as a board-level advisor, but equally comfortable in operational settings, Marco has over 20 years of consulting experience across 20 countries and a variety of industries. He is expertly placed to advise, influence, design and deliver solutions that support both the rational and emotional aspects of new business model generation, operating model design and wider business transformation.

Who should attend?

This session is ideal for:

Senior leaders exploring how AI can support better service delivery

Transformation, digital and innovation leads

Procurement, property, asset management and contract management teams

Housing professionals interested in practical, low-risk ways to begin using AI

Teams looking to better understand the opportunities and concerns around AI adoption

It will be particularly useful for organisations that want to move from curiosity about AI to a more confident, practical starting point, especially where they want to unlock more value from existing contracts, supplier relationships and operational documentation.