Forensic delivery of intelligence outcomes: Quality considerations

Forensic intelligence (FORINT) is a powerful extension of forensic science's role in policing and security, enabling forward-leaning forensic contributions for wider effect, including prevention and disruption of crime. However, operational implementation has been inhibited by concerns relating to quality and the potential for misinterpretation or misuse of forensic information. To directly apply laboratory-centric quality assurance approaches to FORINT would be to place it in a Procrustean bed, ill-suited to its transdisciplinary, adaptive, and often predictive approach to generating activity/crime level propositions and other insights. However, FORINT can, and should, be delivered within a principles-based quality management framework, wherein quality is a property of the system – not a restrictive compliance mechanism. Through established quality system principles, intelligence theory and forensic science, and extensive operational experience, a structured FORINT delivery framework is proposed, leveraging recognised constructs such as the ‘intelligence cycle’ and FORINT praxis with standards familiar to forensic scientists, without imposing rigid, laboratory-focused requirements. Quality considerations are mapped to structured processes across planning, collection, collation, analysis, review & reporting, and dissemination & evaluation. Focus is accorded to leadership, customer/decision-maker engagement, workforce design, and governance. Human factors are recognised throughout, as FORINT analysis involves contextualised interpretation and judgement of complex, incomplete, and uncertain information under pressure. The model is structured to mitigate bias and misinterpretation, ensuring ethical, reliable, and defensible assessments. These recommendations position FORINT as an effective, robust means of maximising the utility of scientific insights, enhancing the outcomes of forensic science and policing intelligence, while maintaining the trust of practitioners, decision-makers, and the public.

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Publication Details

Journal
Forensic Science International Synergy
Published
2026-10-26
DOI
https://doi.org/10.1016/j.fsisyn.2026.100748
Primary Topic
Intelligence, Security, War Strategy
Type
article
Field-Weighted Citation Impact
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article

Forensic delivery of intelligence outcomes: Quality considerations

Anna L. Heavey, Michael L. Taylor
Forensic Science International Synergy
Intelligence, Security, War Strategy
article

Forensic delivery of intelligence outcomes: Quality considerations

Anna L. Heavey, Michael L. Taylor
article en

Abstract

Forensic intelligence (FORINT) is a powerful extension of forensic science's role in policing and security, enabling forward-leaning forensic contributions for wider effect, including prevention and disruption of crime. However, operational implementation has been inhibited by concerns relating to quality and the potential for misinterpretation or misuse of forensic information. To directly apply laboratory-centric quality assurance approaches to FORINT would be to place it in a Procrustean bed, ill-suited to its transdisciplinary, adaptive, and often predictive approach to generating activity/crime level propositions and other insights. However, FORINT can, and should, be delivered within a principles-based quality management framework, wherein quality is a property of the system – not a restrictive compliance mechanism. Through established quality system principles, intelligence theory and forensic science, and extensive operational experience, a structured FORINT delivery framework is proposed, leveraging recognised constructs such as the ‘intelligence cycle’ and FORINT praxis with standards familiar to forensic scientists, without imposing rigid, laboratory-focused requirements. Quality considerations are mapped to structured processes across planning, collection, collation, analysis, review & reporting, and dissemination & evaluation. Focus is accorded to leadership, customer/decision-maker engagement, workforce design, and governance. Human factors are recognised throughout, as FORINT analysis involves contextualised interpretation and judgement of complex, incomplete, and uncertain information under pressure. The model is structured to mitigate bias and misinterpretation, ensuring ethical, reliable, and defensible assessments. These recommendations position FORINT as an effective, robust means of maximising the utility of scientific insights, enhancing the outcomes of forensic science and policing intelligence, while maintaining the trust of practitioners, decision-makers, and the public.

Forensic Science International SynergyVol. 13
Australian Federal Police (AU), Curtin University (AU), Pathwest Laboratory Medicine (AU)
Openalex Percentile: Top 4%
Intelligence, Security, War Strategy
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