about the event
You’ve moved past the hype. You understand AI’s capabilities and limitations.Now comes the next executive challenge: how should your organisation act?
- Build in-house and control the IP... but at what cost?
- Buy off-the-shelf solutions and accelerate deployment... but risk vendor lock-in?
- Wait and observe... but risk falling behind competitors?
Each option comes with trade-offs in cost, time, capability, risk, and long-term flexibility. Many organisations make these decisions without a structured approach, leading to stalled initiatives, wasted budgets, or missed opportunities.
This one-hour webinar gives senior leaders the frameworks and practical insights to make these decisions with confidence. It also serves as a gateway to the Executive Education course, where participants go deeper, applying these frameworks hands-on to their own organisations.
date
time
location
A Chartered Surveyor and Digital Champion for the Royal Institution of Chartered Surveyors (RICS), Bola is an industry disruptor specialising in Digital Twin solutions, built asset assurance, and regulatory compliance. He has successfully procured and delivered over £8 billion in capital projects across multiple sectors with extensive UK public sector procurement experience.
Bola was awarded an OBE in 2019 for services to Diversity and to Young People in the Construction Industry.
He advises the UK government on the Golden Thread in the Building Safety Act, chairs the Real Estate Data Foundation Data Standards Steering Group, and teaches data strategy at OSCRE Academy. With 30+ years delivering data-enabled transformation across technology and real estate, Chris authored "The Anatomy of Occupancy Analytics" and brings deep expertise in building the data foundations that enable successful AI implementation. His work spans corporate real estate, social housing, and commercial property, making him uniquely positioned to discuss the practical realities of AI adoption in the built environment. Chris is also an Acuity Data mentor, supporting the next generation of data leaders.
Executives are under pressure to “do something with AI,” yet few have clarity on:
- What building in-house truly requires (talent, data, infrastructure, time, and cost)
- When buying or partnering is the smarter routeHow to evaluate AI vendors and avoid costly lock-in
- When waiting is the optimal strategic move.
This session gives you a structured approach to evaluating AI deployment options before committing resources.
Our expert panel will address the questions executives are actually asking:
Build, buy, or wait, what makes sense when?
A decision framework you can apply immediately, based on capability, cost, risk, and strategic fit
What does building in-house really require?
Talent needs, data infrastructure, timelines, hidden costs, and technical debt most organizations underestimate
How do we buy smart and avoid vendor lock-in?
Evaluation criteria, contract terms to negotiate, technical assessment questions, and flexibility protection strategies
When should we actually wait instead of rushing in?
Identifying scenarios where patience delivers better outcomes than FOMO-driven decisions
What can we learn from those who've done this at scale?
Real implementation insights from global technology leaders managing AI strategy in data-intensive enterprises
1. Confidence to Make Defensible Decisions backed by a framework your board and stakeholders will understand
2. Realistic Build Assessment so you know upfront whether your organization can actually deliver, or if you're setting yourself up for failure
3. Smart Buying Criteria that help you evaluate vendors on capability and fit, not just features and pricing
4. Cost Transparency revealing what each option truly costs when you factor in talent, time, infrastructure, and opportunity cost
5. Strategic Patience Toolkit for when waiting is the right move, and how to communicate it effectively
6. Battle-Tested Lessons from technology leaders at JLL and Data Clan who've made these calls in complex, regulated environments
- C-suite and senior executives
- Board members and non-executive directors
- Strategy, transformation, and innovation leaders
- Anyone responsible for approving, funding, or overseeing AI initiatives
This webinar is the first in a broader collaboration with UCL Centre for Sustainability and RealTech Innovation, designed to support leaders who want to move beyond experimentation and build credible, responsible AI strategies.
For those who want to go deeper, this session connects directly to our Executive Education course, where participants apply these frameworks hands-on to their own organisations with expert guidance.
The webinar gives you the foundations.
The course helps you implement them.
.png){kind=small}