Overview
The Cloudscaler + Anthropic Police Transcript Service provides a secure, governed transcription capability designed specifically for UK policing. Deployed entirely within a force-owned AWS environment, the service enables officers to convert handwritten notes, typed content, and dictated audio into structured digital records more efficiently, improving timeliness, consistency, and operational productivity while preserving human oversight and professional judgement.
The solution is delivered on Amazon Web Services using Cloudscaler’s Enhanced Landing Zone (ELZ), providing a multi-account AWS architecture with centralised identity and access management, encryption at rest and in transit, comprehensive logging, monitoring, and audit controls. Anthropic’s Claude models are used strictly for transcription and text normalisation tasks, with tightly constrained prompts and interaction patterns. The service is explicitly designed not to generate investigative conclusions, legal interpretations, risk assessments, or operational recommendations. All AI outputs are treated as draft artefacts and require human review and approval.
This AWS Marketplace offering relates to AWS services including, but not limited to, AWS Lambda, Amazon S3, AWS IAM, AWS CloudTrail, AWS CloudWatch, AWS Organizations, AWS Security Hub, AWS GuardDuty, AWS Audit Manager, AWS Network Firewall, AWS Transit Gateway, and AWS Certificate Manager. It is intended for UK law-enforcement organisations seeking a low-risk, responsible entry point for AI-enabled productivity tooling that aligns with public-sector security, assurance, and data-protection expectations.
Highlights
- Secure AI transcription for UK policing, deployed entirely within a force-controlled AWS environment. Converts officer notes and dictated audio into structured digital records while preserving evidential integrity, auditability, and strict governance.
- Built on AWS using Cloudscaler’s Enhanced Landing Zone (ELZ), delivering encryption in transit and at rest, centralised identity and access management, comprehensive logging, and audit controls aligned to public-sector and policing assurance expectations.
- Uses Anthropic’s Claude models strictly for transcription and text normalisation only. No investigative analysis or decision-making. All outputs require human review, providing a responsible, low-risk entry point for AI-enabled productivity in policing.
Details
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