ILAS: Intelligent Lead Assessment Service

ILAS is an augmented intelligence technology that reasons at a breadth and scale beyond human capability, making sense of all your data to determine what is happening in the real world. By replicating expert human tradecraft, ILAS performs the role of multiple analysts - building pictures of risk to underpin decision making.

What is the effect of ILAS: Intelligent Lead Assessment Service?

• Accelerated situational awareness
• Contextual risk-based decision making
• Prioritised risk detection
• Prevention through early intervention
• Proactive risk management
• 360 degree analysis of complex behaviour

ILAS: Targeting knife crime

With 41% of all homicides in England and Wales involving the use of a knife in 2023 alone, the importance of tackling the growth of knife crime has never been so clear. Police forces and safety partnerships have finite resources, so it is vital that they are able to focus on prevention with the right people at the right time. Automating the constant deep analysis carried out by often over-stretched teams is the only realistic way to stay ahead of this growing challenge.

ILAS can assist forces to immediately focus in on those cases that need early intervention to prevent harm, by identifying the highest risk habitual knife carriers, those who are at risk of becoming knife carriers and those at highest risk of becoming potential knife crime victims.

ILAS is deployed operationally across a range of crime areas demonstrating the following benefits, compared to many other tools and manual approaches:

• Over twice the actionable risk identified through continuous monitoring and risk detection, with only 60 per cent of the effort previously taken
• In side-by-side comparisons, ILAS is nearly five times more likely to identify actionable risk
• ILAS filters out the research that human beings don’t need to do, meaning that up to 80% less time is spent on irrelevant alerts
• ILAS does not set artificial thresholds for analysis - it assesses all potential risk across all of the data continuously, ensuring everything is being monitored and considered

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