# Horizon Scanning & Trend Monitoring > Track emerging trends and weak signals ## What is AI horizon scanning? Horizon scanning is the systematic search for early signs of change, such as emerging trends, weak signals and disruptions, that could affect an organization's future. AI horizon scanning automates the search and the first assessment: AI research agents read thousands of news articles, websites and reports, group related signals into trends and assess each trend's momentum, impact and timeline. ## Spot trends, assess impact, and visualize insights effortlessly in a Trend Radar Dcipher Analytics' AI-powered horizon scanning and trend monitoring feature identifies and tracks trends in your field while evaluating their momentum, impact, and timeline. It analyzes thousands of news articles, websites, and reports in any language to detect relevant developments and emerging signals. By synthesizing data from diverse sources, it provides detailed descriptions and assessments of key trends, along with supporting examples and references to the original sources. The results are presented in an interactive trend radar, offering an interactive visualization that can be easily shared with your team. - Identify and monitor trends in your field with AI-driven insights - Assess trends’ momentum, impact, and timeline - Detect emerging signals in news articles, websites, and reports in any language - Access detailed trend descriptions, examples, and references to original sources - Visualize results through an interactive trend radar for easy sharing and collaboration ## Turn trends into future scenarios with the Scenario Analyzer A trend radar shows what is changing. The Scenario Analyzer shows what those changes could add up to. Pick the driving forces that matter to your organization, such as market concentration, regulation or adoption speed, and the possible states of each, and the AI suggests the ones you may have missed, based on the trends in your radar. It then tests every combination for internal consistency and rates the plausible ones for likelihood and impact. The most likely high-impact scenarios get a title and a short narrative, grouped on a 2x2 scenario matrix that is ready for your next strategy workshop. - Build scenarios on the trends your radar has already found, instead of starting from a blank whiteboard - Explore hundreds of possible futures and keep only the internally consistent ones - See every scenario's likelihood and impact, each with a one-sentence rationale - Compare the strongest scenarios on a 2x2 matrix with labeled axes and a summary per quadrant - Share the results as an interactive view or download them as an Excel file [→ Explore a live scenario analysis](https://app.dcipheranalytics.com/insight-booster-projects/6ae07c9e9855bd6aafd40421/workbenches/6acf4a286248a0986d8bb312?public=true) [→ Read how the Scenario Analyzer works](https://www.dciphernext.com/blog/introducing-scenario-analyzer) ## How our customers have benefited - ![](https://www.dciphernext.com/solutions/logo-rise.jpeg) ### Transforming horizon scanning for strategic decision-making The Research Institutes of Sweden (RISE) leveraged Dcipher Analytics’ AI-powered research agents to revolutionize its horizon scanning process across diverse domains, from macro trends to niche sectors like wood technologies and food systems. By automating data collection, analysis, and visualization through interactive trend radars, RISE achieved structured, actionable insights that directly supported strategic planning while saving significant time. [Read the full case study](https://www.dciphernext.com/customer-success-stories/rise-enhances-horizon-scanning-with-dcipher-analytics) ## Frequently asked questions ### Why not just ask a chat assistant what the trends are? A chat assistant summarizes the few pages it reads to answer a question. Spotting trends means reading thousands of documents, removing duplicates, clustering related signals and following how they develop over time, and language models on their own are weak at clustering and temporal patterns. Dcipher combines AI agents with clustering and pattern-recognition algorithms, and runs the scan on a schedule, so new signals show up without anyone having to ask. ### What sources does Dcipher scan for trends? News articles, websites and reports in any language, gathered by Dcipher's AI research agents. You can add your own documents to the knowledge base the analysis is built on. ### How are the trends assessed? Each trend gets a description, an assessment of its momentum, impact and timeline, supporting examples, and references to the original sources, so analysts can verify every claim. ### Can I monitor trends I already know about? Yes. The trend radar can discover trends bottom-up from the sources, monitor a predefined set of trends top-down, or do both at the same time. ### Can I share the trend radar with my team? Yes. The results are presented in an interactive trend radar that you can share with your team. ### Can Dcipher build future scenarios from the trends it finds? Yes. The Scenario Analyzer combines the driving forces you choose with the trends in your radar, keeps the combinations that are internally consistent and rates each scenario for likelihood and impact. The strongest scenarios get a narrative and are grouped on a 2x2 scenario matrix. [Read about the Scenario Analyzer](https://www.dciphernext.com/blog/introducing-scenario-analyzer) ### Can I run horizon scanning from Claude or ChatGPT? Yes. The Dcipher connector for Claude and ChatGPT lets you create projects, build knowledge bases and configure trend radars in a conversation with your AI assistant, using your normal Dcipher account and permissions.