Clue Software launches AI tools to boost investigative efficiency
Clue Software has introduced an updated suite of artificial intelligence tools designed to improve the efficiency and accuracy of intelligence-led investigations. The enhancements are aimed at investigation professionals working under growing time and resource pressures as they respond to a rising number of threats in complex environments.
Operational efficiency
The Assisted AI functionality introduced by Clue Software prioritises three operational goals: accelerating the identification of relevant intelligence, streamlining the triage of unstructured data, and ensuring crucial updates reach investigative teams promptly. The system uses AI-powered watchlists to automatically detect and flag connections between new information and persons or entities of interest, aiming to uncover emerging risks earlier in the investigative process.
Entity recognition technology has been embedded in the platform to swiftly convert unstructured data such as case notes or reports into structured intelligence, highlighting key names, organisations, and locations in significantly less time. Real-time update subscriptions are also now available to alert teams whenever there are critical changes to a case file, reducing the risk of important developments being overlooked.
"The world our customers operate in is more complex and fast-moving than ever - from cybercrime and fraud to misinformation, insider threat, and geopolitical risk. Investigators and intelligence professionals are under immense pressure to disrupt and reduce the threat, often with limited resources - they need to do more with less. By applying AI responsibly, we're helping them work more efficiently and with greater confidence, so they can stay ahead of emerging threats and continue protecting people, organisations, and society," said Clare Elford, Chief Executive Officer, Clue Software.
User collaboration
Clue Software has collaborated with law enforcement agencies, government departments, and private sector organisations during the development of its Assisted AI tools. This partnership approach guides the platform's human-in-the-loop design, which aims to support-rather than replace-professional judgement in the field. The company has prioritised features intended to uphold evidential integrity and compliance as data is processed and analysed using AI.
The tools are also intended to facilitate communication and information sharing among users. By providing automated alerts and structured data, teams can coordinate responses and jointly progress investigations without missing critical information in high-stakes situations.
Community resources
In addition to the AI developments, Clue Software has introduced initiatives aimed at strengthening the wider investigation community. The Threat Insight Group, led by Head of Economic Crime Laura Eshelby, is planned as a cross-sector forum for sharing insights and coordinating approaches to harm areas such as economic crime, safeguarding, and insider risk.
The company has also launched a Best Practise Library, developed in collaboration with users. This resource offers templates, configuration guides, and policy standards to promote consistency and knowledge transfer across investigation teams in different sectors. The materials are designed to help organisations deploy and optimise their use of Clue's platform in line with current industry requirements and expectations.
A new Developer Centre has been established to allow customers and partners to build secure integrations between the Clue platform and other case management or intelligence systems. The aim is to ensure access to critical investigative data across connected platforms and enable users to tailor workflows to their operational needs.
"By providing these resources, we are supporting investigation teams to work in alignment and share expertise so they can tackle priority challenges together," said Eshelby.
