Engagement Overview
A federal law enforcement organization responsible for analyzing incident and evidentiary data works with hundreds of state and local agencies nationwide. To support timely investigations, the organization must ingest, organize, and analyze large volumes of incident and evidentiary data arriving in many formats from multiple external systems.
AIS was engaged to design, implement, and support a secure, cloud-based enforcement support platform that automates these data workflows and provides investigators with timely, centralized access to critical information.
Business Challenge
The organization relied on manual and semi-manual processes to collect data from incidents, evidence and local law enforcement records. Data arrived through a variety of connection methods and formats, increasing the complexity of ingestion, transformation, and auditing.
These challenges slowed investigative workflows, increased administrative burden, and made it difficult to consistently cross-reference incidents across jurisdictions. As participation grew, the organization needed a scalable, auditable solution capable of supporting mission-sensitive operations at national scale
Design and delivery
With multiple federal, state, and local agencies contributing incident and evidentiary data, the organization faced increasing complexity and needed a delivery partner that could support secure, scalable data integration while maintaining auditability and operational reliability. Specifically, AIS needed to address:
- Fragmented data ingestion and formats: Incident and evidentiary data arrived from multiple external systems using different connection methods and file formats, creating challenges in ingestion, normalization, and consistency.
- Manual processes and scalability limitations: Reliance on manual and semi-manual data entry slowed case processing and made it difficult to scale as data volumes and agency participation increased.
- Data integrity and auditability requirements: Mission-sensitive investigative workflows required strong traceability, auditing, and the ability to track changes to records over time.
- Secure, multi-agency access: The platform needed to support secure authentication and controlled access for users across federal, state, and local law enforcement organizations.
The AIS Solution
AIS designed and delivered a secure, cloud-based enforcement support platform anchored around four core innovations:
- Automated, Scalable Data Ingestion
- Automated daily ingestion pipelines bring together law enforcement data from multiple external sources from national to local repositories.
- This automation replaces manual data entry and enables consistent, timely access to investigative data as volumes grow.
- Intelligent Data Transformation & Standardization
- Custom data‑cleaning, transformation, and normalization routines using SSIS and SQL stored procedures organize complex investigative data into a consistent, usable format.
- These processes ensure data from diverse systems can be reliably cross‑referenced and analyzed.
- Geospatial & Auditable Investigative Context
- Integrated geospatial address verification and event mapping add location‑based context to incidents, supporting investigative analysis.
- Temporal‑table auditing in SQL Server provides traceability and reporting on data changes, supporting mission‑sensitive workflows and accountability.
- Integrated Delivery & Operational Support Model
- AIS delivered the platform using Agile development practices, CI/CD automation, and ongoing user support.
- This combined delivery and operations model enables continuous improvement while maintaining reliability for federal, state, and local users.
Key Outcomes
Our engagement delivered measurable improvements across investigative data management and operational efficiency:
- 400,000+ Incidents Automatically Ingested
The platform automatically ingested more than 400,000 incidents since inception, eliminating the need for manual case entry across multiple data sources- Benefit: Investigative data is available faster and more consistently, reducing delays caused by manual processing.
- ~90,000 Hours of Manual Effort Avoided
Automation replaced an estimated 15 minutes of manual data entry per event, saving approximately 90,000 hours of workforce time.- Benefit: Analysts and investigators spend more time on analysis and lead development rather than administrative tasks.
- Centralized, Cross‑Referenced Investigative Data
Ballistic, firearm trace, and incident data are normalized into a single platform, enabling users to cross‑reference information from multiple systems.- Benefit: Improves the ability to identify relationships and potential leads across incidents and jurisdictions.
- Built‑In Auditing and Data Traceability
Temporal-table auditing tracks changes to records over time, supporting reporting and accountability requirements.- Benefit: Provides confidence in data integrity for mission‑sensitive investigative workflows.
Strategic Impact
Beyond operational efficiency, AIS helped the organization establish a scalable foundation for long‑term investigative data management.
The automated ingestion and normalization framework enables the organization to onboard new data sources more easily as participation from state and local agencies grows. This minimizes future reliance on manual processes while supporting consistent data standards across contributors.
Geospatial address verification and event mapping add location context to incidents, enhancing analytical capabilities without requiring separate tools or manual enrichment.
By combining Agile delivery, CI/CD automation, and ongoing operational support, AIS ensured the platform could evolve over time while remaining reliable for daily investigative use. This delivery model supports continuous improvement and positions the organization to expand analytical and reporting capabilities as mission needs change.
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