Bayfield Training offers a series of free property webinars designed to support real estate professionals with accessible, expert-led learning. These webinars cover a wide range of industry-relevant topics, including property investment, financial modelling, market trends, and asset management.
Whether you’re a junior analyst, a mid-level manager, or a senior executive, our webinars provide valuable insights to help you stay competitive and informed in a fast-evolving sector.
AI Strategy
Date: 4th February 2026 at 13:00pm GMT
Guest Speaker: Maya Bankovich, Managing Director, Future Accelerated Ltd
What is the market telling us:
- Shift from PropTech pilots to portfolio-level AI agendas: UKPA/BPF 2024 insights show integration of AI into strategic capex planning.
- AI as enabler of net-zero pathways: energy optimisation, MEES compliance, predictive energy savings (British Land examples).
- Data as a strategic asset: industry push for unified data platforms covering BMS, CAFM, leasing, valuations in addition to ERPs and EPMs.
What can real estate organisations do to create value with AI strategies:
Convene a mix of stakeholders empowered to make decisions about the future direction of travel, choosing and prioritising between:
- Service excellence: creating differentiated customer/tenant experience: AI-driven location/experience search, recommendations, and conversational interfaces.
- Growth-first strategies: identifying and analysing new revenue streams, productionising knowledge and platforming expertise as service offering, selling data as asset for LLM training.
- Optimising cost strategies: scaling operations with no additional overhead for Finance & back office.
AI Planning
Date: 11th February 2026 at 13:00pm GMT
Guest Speaker: Maya Bankovich, Managing Director, Future Accelerated Ltd
Many real estate firms can define their AI vision easily, but building robust business cases across predictive, generative, and agentic AI is where the real challenge begins. This webinar explores how to translate ambition into actionable strategies and measurable outcomes.
Key takeaways:
- Building the business case: Align ROI metrics, governance responsibilities, and pathways for predictive, generative, and agentic AI.
- Strategic portfolio alignment: Balance AI and non-AI initiatives, accelerate decision-making, and enable agile replanning.
- ESG and innovation impact: Ensure AI initiatives enhance ESG performance and build lasting innovation capability.
AI in action:
- Predictive AI: Investment & valuation forecasting, predictive maintenance, energy/carbon optimisation, tenant churn risk scoring.
- Generative AI: Automated marketing content, scenario design & fit-out options, document drafting (leases, HoTs, reports).
- Agentic AI: Autonomous building operations, tenant service agents, portfolio copilots for asset managers.
Sector-specific applications:
- Offices: Smart-building twins, utilisation analytics.
- Logistics: Predictive maintenance, yard optimisation.
- BTR/Student housing: Churn prediction, dynamic rent-setting.
- Social housing: Repairs triage, damp/mould detection.
Join us to discover how leading real estate organisations are turning AI vision into tangible value across investment, operations, tenant experience, and sustainability.
AI Execution
Date: 18th February 2026 at 13:00pm GMT
Guest Speaker: Maya Bankovich, Managing Director, Future Accelerated Ltd
Once the strategy, mandate, and business case are in place, the real work begins: executing AI to deliver measurable value. This webinar explores the practical phase of AI implementation in real estate, covering project planning, team mobilisation, and benefits-driven delivery.
What you will learn:
- Project execution essentials: Detailed programme planning, team mobilisation, and running AI projects with agility, controls, and a benefits-first mindset.
- Typical AI initiatives:
- Data foundations: Move from siloed spreadsheets to enterprise data platforms integrating BMS, CAFM, leasing, and ESG data.
- Governance: Apply RICS AI standards with risk assessment, audit trails, model documentation, and bias checks.
- Smart-building integration: Leverage IoT + AI for 30–40% energy savings in fully integrated buildings.
- Regulation & ethics: Ensure GDPR compliance, fair tenant screening, and responsible algorithmic pricing.
- Skills & culture: Upskill surveyors, asset managers, and FM teams in AI literacy.
- Operating model: Build AI squads and orchestrate the PropTech vendor ecosystem.
Live examples: We will walk through three real-world AI projects to demonstrate execution in action.
Discover how leading organisations are translating AI strategy into tangible operational, financial, and sustainability outcomes.
Making Complex Scenarios Simple using Event-Driven Modelling in HyperVal
Date: 25th February 2026 at 13:00pm GMT
Guest Speakers: Eric Ogan | Founder & CEO, Hyperinvestor & Thomas Buis | Co-Founder & COO, Hyperinvestor
Running scenarios and sensitivities is essential for investment decision-making, yet in most spreadsheet-based models it’s very time-consuming, limited, and often avoided altogether.
In this 30-minute webinar, we’ll show how event-driven modelling in HyperVal makes complex scenario analysis dramatically simpler and faster.
Starting from a clean base model, we’ll demonstrate how you can instantly explore different scenarios, vacancy events, yield shifts, refinancing, capex, fund-level impacts, and more, all without rebuilding spreadsheet logic or creating different versions.
Because the model is built around events, each scenario comes to life: some events trigger, others don’t, and you can immediately see how those changes flow from unit → asset → fund.
You’ll learn practical techniques to:
- Set up sensitivities in seconds
- Explore multiple scenarios from a single base model
- Understand how events cascade through the model
- Assess the impact of rent changes, vacancy shocks, interest rate moves, and refinancing
- Build clearer, more compelling investment narratives
This walkthrough is designed for analysts, associates, asset managers, and anyone working with underwriting or forecasting.
You’ll walk away with a modern, event-driven approach to scenario planning, delivering far more insight with far less effort.
What is the Target Return?
Date: 4th March 2026 at 13:00pm GMT
Guest Speaker: Malcolm Frodsham, Director Real Estate Strategies
An introduction to the Target Return (sometimes known as required return) and its role in real estate Investment Worth analysis.
Learning outcomes
- Understand what the Target Return represents in Investment Worth analysis
- Distinguish the Target Return from Market Yields, discount rates, and IRR hurdle rates
- Learn why Worth analysis begins with a single, portfolio-level required return
- Recognise how the Target Return anchors the comparison between Worth and Market Value
Description
Investment Worth is a tool for evaluating whether:
- the market price offers sufficient return relative to the investor’s required return,
- the investor is overpaying or under paying relative to their objectives.
Worth is therefore a private, investor specific calculation that is not intended to match Market Value.
The Target Return is the anchor for this comparison by providing the investor-specific rate used to discount expected cash flows under Worth analysis.
When Not to Adjust the Target Return?
Date: 11th March 2026 at 13:00pm GMT
Guest Speaker: Malcolm Frodsham, Director Real Estate Strategies
Why many risks affect the expected cash flow, not the Target Return.
Learning outcomes
- Identify the difference between diversifiable and structural risks
- Understand why renewal probability, default risk and reletting periods belong in the cash flow
- See how an expected cash flow already captures diversifiable uncertainty
- Learn the baseline rule: no Target Return adjustment is required for diversifiable risk
Description
Investment Worth is based on expected cash flow, which incorporates:
- expected rental growth,
- expected renewal probabilities,
- expected letting periods,
- expected tenant default rates.
Worth uses probability weighted expectations: therefore diversifiable risks are reflected in the cash flow, not in the discount rate.
A single Target Return can therefore be applied across assets unless there is a structural difference in income security or risk.
When to adjust the Target Return
Date: 18th March 2026 at 13:00pm GMT
Guest Speaker: Malcolm Frodsham, Director Real Estate Strategies
How structural differences in income security justify changes in required return.
Learning outcomes
- Understand which risks truly justify a Target Return adjustment
- See why the unexpired lease term, letting periods and covenant strength affect Target Returns
- Learn how shorter leases lead to higher expected return volatility
Description
Worth analysis should reflect the investor’s own risk appetite and portfolio context.
This means the Target Return typically reflects:
- the investor’s overall return objectives,
- their tolerance for systematic market risk,
- their capital structure and cost of capital,
- their investment horizon.
Worth analysis should reflect the investor’s own return objectives and portfolio context.
Structural differences in income security—such as shorter unexpired lease terms, weaker covenants, or higher exposure to market timing—can justify adjusting the Target Return. These risks cannot be diversified away and therefore require a higher (or occasionally lower) required return.
The Target Return should therefore be adjusted only when structural differences in income security lead to materially different return volatility from the portfolio baseline.
Guest Speakers This Month
Malcolm Frodsham: LinkedIn Profile
Malcolm has 20 years of experience in real estate data, modelling and risk management techniques. He founded Real Estate Strategies in 2013, an independent management owned business that provides high quality forecasts, research and strategic consulting on the European real estate market. Prior to Real Estate Strategies, Malcolm was Director of Research at IPD.
Natalie Bayfield: LinkedIn Profile
Natalie invented real estate financial modelling (REFM) as a subject in its own right. She developed the very first course on REFM leading to degree status, MPhil Real Estate Finance at the University of Cambridge. Using her unique integrated KPI led approach, Natalie has consulted on the financial and operational viability for major retail developments and new city projects all over the world. Natalie is committed to sustainability and has a long term interest urban dynamics. As well as working with large international shopping centres, in her spare time she volunteers for the remote Glendale Highland Market on the Isle of Skye in Scotland, which she helped establish in 2015.
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