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Helio Intelligence, a leader in political intelligence, needed to transform how analysts processed real-time developments, without sacrificing speed, trust or editorial rigour. Together with Colibri Digital and AWS, they built and deployed a production-grade, agentic Gen AI platform that now surfaces, evaluates and summarises high-value content in minutes instead of hours.
Helio Intelligence is a leading provider of political intelligence, known for delivering real-time monitoring and expert analysis of policy developments across the UK and EU.
Operating in a complex, high-volume policy environment, Helio Intelligence analysts were spending significant time each day manually tracking, filtering, and summarizing political signals. From committee transcripts to government websites, the volume of data only increased, while client expectations for speed and insight rose in parallel.
“We saw an opportunity to push beyond our sector. Inspired by industries like finance and biotech, we realized technology could drive better human outcomes. We wanted to lead that shift in our industry—and be the ones to set the standard.”
Helio Intelligence sought a solution to boost efficiency and reduce manual workloads, without compromising the editorial integrity or human expertise that defines their service.
They turned to Colibri, a data and AI consultancy known for solving complex information challenges. Together, they set out to transform Helio Intelligence's workflows using AI—freeing up time for what matters most: delivering expert insight to clients.
The industry has been slow to adapt technologies and there were concerns internally that leaning on AI would reduce output quality. In reality, political monitoring involves vast data volumes and long time horizons with lots of opportunities for AI optimisation.
The goal wasn’t to replace editorial judgment—it was to automate the routine, so people could focus where they add the most value.
Working hand-in-hand with Helio Intelligence, Colibri built a bespoke, cloud-native, multi-agent system on AWS—customized for the complexity of political and policy data.
Rethinking how to handle a classic “search problem”, Colibri developed a semantic retrieval engine to intelligently pull relevant content from multiple data sources. This meant moving from keyword-based search to meaning-based retrieval - crucial for navigating nuanced, context-rich content.
From there, an agent-based architecture was introduced, starting with a RAG (Retrieval-Augmented Generation) agent that could retrieve and rank relevant content using a rationality and quality score. These agents learn continuously from editor behaviour, improving performance over time.
Colibri also implemented an internal AI evaluation lab—a space where Helio Intelligence can test and iterate on new models. This setup ensures they’re always using the latest advances in AI, including both open-source and proprietary models through platforms like AWS.
The result is a purpose-built platform that automates the highly manual work—enhancing, not replacing, human value.
Tasks like tagging, classification, and information retrieval have been transformed into stream-based workflows. Editors are now presented with high-quality, relevant content—pre-sorted, scored, and ready for analysis.
What once took 10 hours now takes one, and extra time is spent on high-impact editorial work that brings more value to end users and is more fulfilling work for employees. AI hasn’t just sped up the process—it’s improved it. Tagging is more accurate. Classification is smarter. And the system is fully cloud-native, enabling rapid scale without additional headcount.
With Colibri, Helio Intelligence is building more than a platform, it’s setting a new standard for the political intelligence industry. The result is a scalable, future-proof foundation that not only transforms daily workflows—but opens the door to new business models and new services.
This is a working, in-production agentic Gen AI solution, one of very few deployed in regulated, high-context knowledge workflows today. Helio Intelligence faced a common yet complex challenge: how to scale nuanced research and analysis without sacrificing editorial judgement. Rather than bolt on a chatbot, they reimagined the process entirely, embedding multi-agent architecture, semantic search, retrieval-augmented generation and human-in-the-loop learning. Analysts now focus on insight, not admin.
This collaboration has positioned Helio Intelligence at the forefront of Gen AI innovation in political intelligence and offers a roadmap for other knowledge-heavy organisations looking to do the same.
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