{"id":833197,"date":"2025-11-06T13:26:16","date_gmt":"2025-11-06T12:26:16","guid":{"rendered":"https:\/\/www.devoteam.com\/success-story\/automating-event-intelligence-how-version-two-scaled-insights-with-aws-bedrock\/"},"modified":"2025-11-06T13:26:16","modified_gmt":"2025-11-06T12:26:16","slug":"automating-event-intelligence-how-version-two-scaled-insights-with-aws-bedrock","status":"publish","type":"success-story","link":"https:\/\/devoteam.info\/cz\/success-story\/automating-event-intelligence-how-version-two-scaled-insights-with-aws-bedrock\/","title":{"rendered":"Automating Event Intelligence: How Version Two Scaled Insights with AWS Bedrock"},"content":{"rendered":"\n

The Snapshot<\/h2>\n\n\n\n
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1<\/strong><\/p>\n\n\n\n

Version Two faced scalability challenges with manual event data analysis across their Evessio platform, needing secure AWS-native AI integration for their upcoming MVP launch<\/p>\n<\/div>\n<\/div>\n\n\n\n

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2<\/strong><\/p>\n\n\n\n

Through AWS-funded ADAPT program, Devoteam designed and delivered a tailored Proof of Concept using Amazon Bedrock to automate intelligent report generation in a five-week engagement<\/p>\n<\/div>\n<\/div>\n\n\n\n

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3<\/strong><\/p>\n\n\n\n

‘Evessio’ platform now integrates automated summarisation capabilities, significantly reducing manual workload and establishing foundation for scalable GenAI features across future event cycles<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

The Challenge<\/strong><\/h2>\n\n\n\n

Empowering event platform, Version Two, through intelligent insights automation<\/em><\/p>\n\n\n\n

Version Two<\/a> is the UK-based SaaS company behind Evessio, a leading cloud-native platform supporting awards, conferences, and virtual events. Designed to streamline the end-to-end event experience \u2014 from registration and ticketing to judging and delivery \u2014 the platform is trusted by publishers and enterprise organisers alike.<\/p>\n\n\n\n

As Version Two set out to build the next generation of their platform, Generative AI emerged as a key enabler. While they had already begun experimenting with OpenAI\u2019s ChatGPT to gain insights into event data and optimise manual data processing activities, the workflow proved effective but remained slow, and was not scalable.<\/p>\n\n\n\n

The team recognised the need to move toward a secure, scalable, and AWS-native solution that could integrate seamlessly with their multi-tenant architecture \u2014 and support a fast-approaching MVP launch.<\/p>\n\n\n\n

The Solution<\/strong><\/h2>\n\n\n\n

From concept to capability: a tailored Proof of Concept powered by Amazon Bedrock<\/em><\/p>\n\n\n\n

Working closely with Version Two\u2019s Co-founder and CTO Paul and technical stakeholders, Devoteam engaged through the ADAPT program<\/a> to design and deliver a targeted Proof of Concept focused on intelligent analysis and report generation.<\/p>\n\n\n\n

The goal? Demonstrate how AWS Bedrock\u2019s foundation models could automate the summarisation of key data from event cycles \u2014 without compromising quality or control.<\/p>\n\n\n\n

From the outset, Devoteam rapidly understood the nuances of the use case. The engagement was shaped around Paul\u2019s specific objectives, and quickly evolved into a deeper collaborative process. The customer noted how the structured delivery and technical insight unlocked a broader understanding of AWS-native services and modern data processing architectures.<\/p>\n\n\n\n

The final result was a functional Proof of Concept demonstrating a reusable, modular summarisation framework \u2014 designed to scale across competition formats, with contextually aware outputs tailored to domain-specific criteria. Devoteam went beyond the core ask by designing a forward-thinking call structure and ensuring downstream integration could be supported as the platform evolved.<\/p>\n\n\n\n

The Results<\/strong><\/h2>\n\n\n\n

A future-ready framework for scalable, secure GenAI integration<\/em><\/p>\n\n\n\n

The Proof of Concept laid the foundation for integrating summarisation directly into Evessio\u2019s new platform as part of their November MVP.<\/p>\n\n\n\n

Key outcomes included:<\/strong><\/p>\n\n\n\n