Why large digital platforms still miss the full customer story

I spent years in the Sitecore ecosystem. I helped build Webuyanycar, one of the UK's most recognised consumer brands, on a platform that promised a single personalised digital experience. Sitecore was powerful, but that experience also taught me how hard it is for one large platform to understand what is happening across an entire business.

The promise and the reality

Enterprise Digital Experience Platforms, usually shortened to DXPs, were sold as a way to bring content, personalisation, analytics and customer journeys together. Products such as Sitecore, Adobe Experience Manager and Optimizely can do a great deal, but large implementations can also become expensive, slow to change and difficult to integrate with everything else a company already runs.

The deeper problem is that no digital experience platform owns the whole customer relationship. The website is only one part of it.

The important information remains spread out

I saw the same pattern repeatedly. A company could spend millions on its digital platform while customer information still remained across several systems. Salesforce held CRM records. SAP held operational or financial information. An older SQL Server database held billing data. Zendesk held support conversations. Google Analytics held website behaviour.

Each system knew something useful. None of them held the complete story. A website personalisation rule might know somebody had returned to a page, but not that their support case was unresolved, their contract was near renewal or a payment problem had already changed the relationship.

KynticAI takes a different approach

KynticAI does not try to replace those systems. Context Engine connects approved information from them and records how the information relates. It keeps the source and order of events, then compares the current situation with earlier situations where the result is known.

The goal is not to copy every operational record into another large platform. The goal is to give people, existing applications and approved AI models the useful part of the story they need for the decision in front of them.

Outcomes make the history more useful

When an approved result is recorded, such as a sale, a lost opportunity, a saved customer or a resolved support problem, KynticAI can keep that outcome beside the journey that led to it. Future situations can then be compared with real earlier examples rather than relying only on fixed rules.

The cost is not only the software licence

The cost of a very large platform also includes implementation time, custom integration, the effort required to change it and the risk of making another system the centre of the organisation. Yet the business can still end up without one clear view of why a particular action should happen next.

What I took from the DXP era

KynticAI is built around three lessons from those projects. Do not replace working systems simply to make new technology possible. Do not force all company data into one new product. And do not ask people to trust a recommendation when the system can show the information and history behind it instead.

The website, CRM, ERP, support platform and older databases can continue doing the jobs they already do well. KynticAI is there to connect the useful information between them.