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Log in for FreeSales & Marketing session with Oliver Easton-Hughes, 20 min — recorded at Coworking Tech Week 2026.
In this session, Oliver Easton-Hughes, Chief Strategy Officer at Koho.ai, explains why data health is becoming a serious commercial priority for coworking operators. The conversation covers how Koho’s Context Platform brings data from PMS, CRM, finance and customer tools into one view, how missing contract details can create renewal and churn risk, and why clean data is the foundation for useful AI adoption in flexible workspace businesses. Operators will see how better visibility across renewals, discounts, member engagement, ancillary spend and risk signals can support stronger decisions before issues become expensive.
Every flex workspace operator is looking at AI right now. Boards are asking about it. Staff are experimenting with it. Vendors are promising it. And the pitch is always the same: plug in an AI tool, save some time, grow some revenue. But the incremental gains from bolting AI onto your workflow mean nothing if the foundations aren't strong. When your CRM has stale pipeline dates, your PMS has missing square footage, and your contracts don't match your invoicing, AI doesn't fix those problems. It scales them - faster and more confidently than any human would. That matters because every agentic workflow you want to launch - automated lead qualification, renewal risk scoring, AI-powered pricing recommendations - inherits the data quality sitting underneath it. If the foundation is unreliable, the automation is unreliable. It just looks more polished while it misleads you. This is what Data Health Free is for. Connect your systems, get an honest assessment of where your data is broken, and fix it - for free. No payment, no commitment. Just the foundation that makes AI actually work. Because you can't automate what you can't trust.
Oliver Easton-Hughes presented Koho’s Context Platform and introduced Data Health Free, a tool designed to help coworking and flex workspace operators identify missing, incorrect or commercially risky data across their business. The session focused on a practical issue many operators face: important business data is often spread across PMS platforms, CRMs, finance tools, spreadsheets and customer systems. This makes it difficult to answer basic but critical questions around renewals, pipeline, inventory, churn risk, member engagement and…
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Talk Details
Friday, Apr 24
2:00 PM UK time
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