Scottish AI Register

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53 "lifecycleStage": "Deployment",Saved payload input/systems/ai-document-understanding.jsonIn Saidot https://app-demo.saidot.ai/govern/s/cmljioupg01eq8t7m0sagltsk/systems/cmrd7egrw00347c01gar05zsvGET https://app-demo.saidot.ai/api/v1/space/cmljioupg01eq8t7m0sagltsk/systems/cmrd7egrw00347c01gar05zsv?humanReadable=trueProduction4 "name": "AI Document Understanding",Saved payload input/systems/ai-document-understanding.jsonIn Saidot https://app-demo.saidot.ai/govern/s/cmljioupg01eq8t7m0sagltsk/systems/cmrd7egrw00347c01gar05zsvGET https://app-demo.saidot.ai/api/v1/space/cmljioupg01eq8t7m0sagltsk/systems/cmrd7egrw00347c01gar05zsv?humanReadable=trueGeneralNew
4 "name": "AI Document Understanding",Saved payload input/systems/ai-document-understanding.jsonIn Saidot https://app-demo.saidot.ai/govern/s/cmljioupg01eq8t7m0sagltsk/systems/cmrd7egrw00347c01gar05zsvGET https://app-demo.saidot.ai/api/v1/space/cmljioupg01eq8t7m0sagltsk/systems/cmrd7egrw00347c01gar05zsv?humanReadable=trueAI Document Understanding
6 "intendedPurpose": "Overview — AI Document Understanding uses a machine-learning model together with optical charact…Saved payload input/systems/ai-document-understanding.jsonIn Saidot https://app-demo.saidot.ai/govern/s/cmljioupg01eq8t7m0sagltsk/systems/cmrd7egrw00347c01gar05zsvGET https://app-demo.saidot.ai/api/v1/space/cmljioupg01eq8t7m0sagltsk/systems/cmrd7egrw00347c01gar05zsv?humanReadable=true
Overview — AI Document Understanding uses a machine-learning model together with optical character recognition (OCR) to interpret, extract and process information from a dynamic application form in PDF format. It increases confidence when extracting data for subsequent recreation of the application form. How it is used — Once the model has been applied, OCR reads the PDF text and the model intelligently identifies and extracts data points within the form regardless of variability, by learning the patterns and context of the data fields rather than relying solely on their positions. This means that even if the form's content or structure changes over time, the model can still recognise and process the relevant information, improving efficiency and reducing the error rate associated with manual data entry. Scope and limitations — The system is designed specifically to extract predefined fields from a predefined digital document. It does not extract fields it has not been trained to extract, and it does not retrain itself. Human oversight — Where the model's confidence threshold is not met in identifying data, the document is referred to the business area for processing. An audit trail of the automation's output is retained in line with platform retention policy, and business-process data output is retained in line with the applicable data-retention policy.
Last published

8 "updatedAt": "2026-08-05T10:25:30.781Z",Saved payload input/systems/ai-document-understanding.jsonIn Saidot https://app-demo.saidot.ai/govern/s/cmljioupg01eq8t7m0sagltsk/systems/cmrd7egrw00347c01gar05zsvGET https://app-demo.saidot.ai/api/v1/space/cmljioupg01eq8t7m0sagltsk/systems/cmrd7egrw00347c01gar05zsv?humanReadable=true05.08.2026
53 "lifecycleStage": "Initiation",Saved payload input/systems/ai-driven-counter-fraud-system.jsonIn Saidot https://app-demo.saidot.ai/govern/s/cmljioupg01eq8t7m0sagltsk/systems/cmrnmk9my00u18w01egrg9dp1GET https://app-demo.saidot.ai/api/v1/space/cmljioupg01eq8t7m0sagltsk/systems/cmrnmk9my00u18w01egrg9dp1?humanReadable=trueIdea4 "name": "AI-Driven Counter Fraud System",Saved payload input/systems/ai-driven-counter-fraud-system.jsonIn Saidot https://app-demo.saidot.ai/govern/s/cmljioupg01eq8t7m0sagltsk/systems/cmrnmk9my00u18w01egrg9dp1GET https://app-demo.saidot.ai/api/v1/space/cmljioupg01eq8t7m0sagltsk/systems/cmrnmk9my00u18w01egrg9dp1?humanReadable=trueGeneralNew
4 "name": "AI-Driven Counter Fraud System",Saved payload input/systems/ai-driven-counter-fraud-system.jsonIn Saidot https://app-demo.saidot.ai/govern/s/cmljioupg01eq8t7m0sagltsk/systems/cmrnmk9my00u18w01egrg9dp1GET https://app-demo.saidot.ai/api/v1/space/cmljioupg01eq8t7m0sagltsk/systems/cmrnmk9my00u18w01egrg9dp1?humanReadable=trueAI-Driven Counter Fraud System
6 "intendedPurpose": "Overview — The AI-Driven Counter Fraud System aims to detect and prevent fraud and error within …Saved payload input/systems/ai-driven-counter-fraud-system.jsonIn Saidot https://app-demo.saidot.ai/govern/s/cmljioupg01eq8t7m0sagltsk/systems/cmrnmk9my00u18w01egrg9dp1GET https://app-demo.saidot.ai/api/v1/space/cmljioupg01eq8t7m0sagltsk/systems/cmrnmk9my00u18w01egrg9dp1?humanReadable=true
Overview — The AI-Driven Counter Fraud System aims to detect and prevent fraud and error within Social Security Scotland's benefit lifecycle using AI technologies. It aims to increase efficiency by reducing manual tasks, improving detection speed and lowering false positives, while supporting fairness and accuracy in decision-making. How it is used — The system operates across a wide range of social-security processes, including applications, changes of circumstances and interventions, ingesting structured data, semi-structured forms and unstructured content such as documents and call recordings. It functions within operational fraud-investigation and intelligence workflows, supporting fraud intelligence, investigation, analysts and case managers, through the reactive and proactive identification of potential fraud and error cases and enriched, AI-driven investigative insights. It also aims to reduce operational costs and improve staff experience by streamlining these processes.
Last published

8 "updatedAt": "2026-08-05T10:27:41.383Z",Saved payload input/systems/ai-driven-counter-fraud-system.jsonIn Saidot https://app-demo.saidot.ai/govern/s/cmljioupg01eq8t7m0sagltsk/systems/cmrnmk9my00u18w01egrg9dp1GET https://app-demo.saidot.ai/api/v1/space/cmljioupg01eq8t7m0sagltsk/systems/cmrnmk9my00u18w01egrg9dp1?humanReadable=true05.08.2026
53 "lifecycleStage": "Verification_and_validation",Saved payload input/systems/amazon-q-developer-assistant.jsonIn Saidot https://app-demo.saidot.ai/govern/s/cmljioupg01eq8t7m0sagltsk/systems/cmrd83r63004q7c01ejihumn3GET https://app-demo.saidot.ai/api/v1/space/cmljioupg01eq8t7m0sagltsk/systems/cmrd83r63004q7c01ejihumn3?humanReadable=truePilot4 "name": "Amazon Q Developer Assistant",Saved payload input/systems/amazon-q-developer-assistant.jsonIn Saidot https://app-demo.saidot.ai/govern/s/cmljioupg01eq8t7m0sagltsk/systems/cmrd83r63004q7c01ejihumn3GET https://app-demo.saidot.ai/api/v1/space/cmljioupg01eq8t7m0sagltsk/systems/cmrd83r63004q7c01ejihumn3?humanReadable=trueGeneralNew
4 "name": "Amazon Q Developer Assistant",Saved payload input/systems/amazon-q-developer-assistant.jsonIn Saidot https://app-demo.saidot.ai/govern/s/cmljioupg01eq8t7m0sagltsk/systems/cmrd83r63004q7c01ejihumn3GET https://app-demo.saidot.ai/api/v1/space/cmljioupg01eq8t7m0sagltsk/systems/cmrd83r63004q7c01ejihumn3?humanReadable=trueAmazon Q Developer Assistant
6 "intendedPurpose": "Overview — Amazon Q Developer is a generative-AI assistant (built on Amazon Bedrock foundation m…Saved payload input/systems/amazon-q-developer-assistant.jsonIn Saidot https://app-demo.saidot.ai/govern/s/cmljioupg01eq8t7m0sagltsk/systems/cmrd83r63004q7c01ejihumn3GET https://app-demo.saidot.ai/api/v1/space/cmljioupg01eq8t7m0sagltsk/systems/cmrd83r63004q7c01ejihumn3?humanReadable=true
Overview — Amazon Q Developer is a generative-AI assistant (built on Amazon Bedrock foundation models and augmented with AWS-specific content) that supports software development and operations. It provides agentic coding, code generation, inline completions, unit-testing suggestions, vulnerability scanning, documentation generation and infrastructure analysis. How it is used — It works within IDEs (such as VS Code, JetBrains, Visual Studio and Eclipse), the AWS Management Console, the AWS Console Mobile app, the command line, and chat apps such as Teams and Slack. It is used to assist with AWS application development, operations, resource troubleshooting, code refactoring, documentation creation and cloud cost analysis, with access controlled through AWS IAM governance and managed service-linked roles. Scope and limitations — It is not intended for autonomous decision-making; developers retain responsibility for final code and actions. Human oversight — Developers remain responsible for reviewing and approving all code generated by Amazon Q Developer, which does not autonomously make production commits, so human supervision is required and the system does not override user decisions. Concerns about accuracy, security suggestions or behaviour are escalated through existing developer-review and AWS support channels, with governance managed via IAM identity and internal escalation protocols.
Last published

8 "updatedAt": "2026-08-05T15:20:12.710Z",Saved payload input/systems/amazon-q-developer-assistant.jsonIn Saidot https://app-demo.saidot.ai/govern/s/cmljioupg01eq8t7m0sagltsk/systems/cmrd83r63004q7c01ejihumn3GET https://app-demo.saidot.ai/api/v1/space/cmljioupg01eq8t7m0sagltsk/systems/cmrd83r63004q7c01ejihumn3?humanReadable=true05.08.2026
53 "lifecycleStage": "Verification_and_validation",Saved payload input/systems/amazon-translate.jsonIn Saidot https://app-demo.saidot.ai/govern/s/cmljioupg01eq8t7m0sagltsk/systems/cms64gns603wc2701m9cxgdx1GET https://app-demo.saidot.ai/api/v1/space/cmljioupg01eq8t7m0sagltsk/systems/cms64gns603wc2701m9cxgdx1?humanReadable=truePilot4 "name": "Amazon Translate",Saved payload input/systems/amazon-translate.jsonIn Saidot https://app-demo.saidot.ai/govern/s/cmljioupg01eq8t7m0sagltsk/systems/cms64gns603wc2701m9cxgdx1GET https://app-demo.saidot.ai/api/v1/space/cmljioupg01eq8t7m0sagltsk/systems/cms64gns603wc2701m9cxgdx1?humanReadable=trueGeneralNew
4 "name": "Amazon Translate",Saved payload input/systems/amazon-translate.jsonIn Saidot https://app-demo.saidot.ai/govern/s/cmljioupg01eq8t7m0sagltsk/systems/cms64gns603wc2701m9cxgdx1GET https://app-demo.saidot.ai/api/v1/space/cmljioupg01eq8t7m0sagltsk/systems/cms64gns603wc2701m9cxgdx1?humanReadable=trueAmazon Translate
6 "intendedPurpose": "Overview — Amazon Translate is a cloud-based machine-translation service. This record covers a p…Saved payload input/systems/amazon-translate.jsonIn Saidot https://app-demo.saidot.ai/govern/s/cmljioupg01eq8t7m0sagltsk/systems/cms64gns603wc2701m9cxgdx1GET https://app-demo.saidot.ai/api/v1/space/cmljioupg01eq8t7m0sagltsk/systems/cms64gns603wc2701m9cxgdx1?humanReadable=true
Overview — Amazon Translate is a cloud-based machine-translation service. This record covers a proof of concept testing whether it can reliably and accurately translate Social Security Scotland letters and notifications. How it is used — The proof of concept explores an alternative to the current process for translating client letters, which is manual, costly and time-consuming, requires significant operational effort and agency spend, and can mean clients on a non-English journey do not receive information on time. Amazon Translate can help improve accessibility and service reach for multilingual communities. Scope and limitations — It is not a substitute for human translation in sensitive or nuanced contexts, but is used to accelerate translation tasks, reduce costs and support broader engagement across language barriers.
Last published

8 "updatedAt": "2026-08-05T15:23:49.041Z",Saved payload input/systems/amazon-translate.jsonIn Saidot https://app-demo.saidot.ai/govern/s/cmljioupg01eq8t7m0sagltsk/systems/cms64gns603wc2701m9cxgdx1GET https://app-demo.saidot.ai/api/v1/space/cmljioupg01eq8t7m0sagltsk/systems/cms64gns603wc2701m9cxgdx1?humanReadable=true05.08.2026
53 "lifecycleStage": "Initiation",Saved payload input/systems/artificial-intelligence-aided-resource-planner-airp.jsonIn Saidot https://app-demo.saidot.ai/govern/s/cmljioupg01eq8t7m0sagltsk/systems/cms67hm6x04cz27014utqoditGET https://app-demo.saidot.ai/api/v1/space/cmljioupg01eq8t7m0sagltsk/systems/cms67hm6x04cz27014utqodit?humanReadable=trueIdea4 "name": "Artificial Intelligence aided Resource Planner (AIRP)",Saved payload input/systems/artificial-intelligence-aided-resource-planner-airp.jsonIn Saidot https://app-demo.saidot.ai/govern/s/cmljioupg01eq8t7m0sagltsk/systems/cms67hm6x04cz27014utqoditGET https://app-demo.saidot.ai/api/v1/space/cmljioupg01eq8t7m0sagltsk/systems/cms67hm6x04cz27014utqodit?humanReadable=trueGeneralNew
4 "name": "Artificial Intelligence aided Resource Planner (AIRP)",Saved payload input/systems/artificial-intelligence-aided-resource-planner-airp.jsonIn Saidot https://app-demo.saidot.ai/govern/s/cmljioupg01eq8t7m0sagltsk/systems/cms67hm6x04cz27014utqoditGET https://app-demo.saidot.ai/api/v1/space/cmljioupg01eq8t7m0sagltsk/systems/cms67hm6x04cz27014utqodit?humanReadable=trueArtificial Intelligence aided Resource Planner (AIRP)
6 "intendedPurpose": "Overview — The Artificial Intelligence aided Resource Planner (AIRP) is a cloud-based, AI-enhanc…Saved payload input/systems/artificial-intelligence-aided-resource-planner-airp.jsonIn Saidot https://app-demo.saidot.ai/govern/s/cmljioupg01eq8t7m0sagltsk/systems/cms67hm6x04cz27014utqoditGET https://app-demo.saidot.ai/api/v1/space/cmljioupg01eq8t7m0sagltsk/systems/cms67hm6x04cz27014utqodit?humanReadable=true
Overview — The Artificial Intelligence aided Resource Planner (AIRP) is a cloud-based, AI-enhanced resource-planning tool that enables efficient planning and replanning of resources. How it is used — AIRP is designed to report and update changes to resource-management systems in real time and to allocate and reallocate tasks and resources across offices and teams as priorities or staffing change, including dynamic reallocation where actual volumes or times differ from predictions. It provides timely, automated management information and scenario modelling, links with Scottish Government corporate systems (such as HR) to reuse up-to-date workforce information, and reconciles allocated resources against those actually used to improve future predictions. The aim is a more efficient, stable system that reduces cost and manual data entry and gives both local offices and Scotland-level planners better insight into how time, money and skills are used. It was developed through the Scottish Government's CivTech programme. Human oversight — Human decisions are made to accept or reject AIRP's suggestions, based on knowledge of established ways of working and of the staff involved, information that is not available to AIRP. All updates to AIRP are recorded in a change log, and data is independently analysed by RPID to trace changes to suggestions and check that they reflect expected patterns; any reviews raised through the planning and performance team are investigated by RPID.
Last published

8 "updatedAt": "2026-08-05T15:27:12.557Z",Saved payload input/systems/artificial-intelligence-aided-resource-planner-airp.jsonIn Saidot https://app-demo.saidot.ai/govern/s/cmljioupg01eq8t7m0sagltsk/systems/cms67hm6x04cz27014utqoditGET https://app-demo.saidot.ai/api/v1/space/cmljioupg01eq8t7m0sagltsk/systems/cms67hm6x04cz27014utqodit?humanReadable=true05.08.2026
53 "lifecycleStage": "Verification_and_validation",Saved payload input/systems/artificial-intelligence-to-redact-sensitive-information.jsonIn Saidot https://app-demo.saidot.ai/govern/s/cmljioupg01eq8t7m0sagltsk/systems/cms785cad000acw01w9ce0be3GET https://app-demo.saidot.ai/api/v1/space/cmljioupg01eq8t7m0sagltsk/systems/cms785cad000acw01w9ce0be3?humanReadable=truePilot4 "name": "Artificial Intelligence to redact sensitive information",Saved payload input/systems/artificial-intelligence-to-redact-sensitive-information.jsonIn Saidot https://app-demo.saidot.ai/govern/s/cmljioupg01eq8t7m0sagltsk/systems/cms785cad000acw01w9ce0be3GET https://app-demo.saidot.ai/api/v1/space/cmljioupg01eq8t7m0sagltsk/systems/cms785cad000acw01w9ce0be3?humanReadable=trueGeneralNew
4 "name": "Artificial Intelligence to redact sensitive information",Saved payload input/systems/artificial-intelligence-to-redact-sensitive-information.jsonIn Saidot https://app-demo.saidot.ai/govern/s/cmljioupg01eq8t7m0sagltsk/systems/cms785cad000acw01w9ce0be3GET https://app-demo.saidot.ai/api/v1/space/cmljioupg01eq8t7m0sagltsk/systems/cms785cad000acw01w9ce0be3?humanReadable=trueArtificial Intelligence to redact sensitive information
6 "intendedPurpose": "Overview — This proof of concept examines whether AI can assist with the redaction of sensitive …Saved payload input/systems/artificial-intelligence-to-redact-sensitive-information.jsonIn Saidot https://app-demo.saidot.ai/govern/s/cmljioupg01eq8t7m0sagltsk/systems/cms785cad000acw01w9ce0be3GET https://app-demo.saidot.ai/api/v1/space/cmljioupg01eq8t7m0sagltsk/systems/cms785cad000acw01w9ce0be3?humanReadable=true
Overview — This proof of concept examines whether AI can assist with the redaction of sensitive information within Scotland's Children's Hearings System, the statutory system of care and justice that makes decisions about compulsory measures of supervision for children and young people in need of care, support and protection. It forms part of SCRA's wider AI programme, which identifies and tests potential applications of AI in the Children's Hearings System, based on engagement with staff about how AI might address common challenges and free up staff to better support children and families. How it is used — SCRA safeguards children partly through non-disclosure provisions, which allow information that would otherwise be shared to be withheld from an individual, for example withholding address information where a child's whereabouts must not be disclosed to a parent, by redacting it from materials issued for Hearings. In this proof of concept, the AI scans the text of multiple documents to recognise patterns of words and phrases that should not be disclosed and highlights them as suggestions to the staff carrying out redaction. It draws on the non-disclosure information held in SCRA's case-management system, such as a child's, parent's or carer's name or address, and places such as their school or medical centre, and learns to identify patterns indicating the whereabouts of a child, applying this across other reports and documents. Human oversight — The redaction itself is not automatic. Staff check the AI's suggestions and remain responsible for reading through reports to identify any information not previously considered for redaction, such as the name of a sports or youth group a young person attends. Overall accountability for redaction remains with human decision-makers. Assessment and impact — The tool will be tested on 50-100 cases over three months to establish how long AI-based redaction takes, how accurately it identifies the required information, the number and causes of any data breaches, and staff confidence in using it. As with the related proof of concept, a wider research project is gathering the views of children, families, carers, social workers, safeguarders, advocates, solicitors, SCRA staff and panel members on the ethics, rights and legalities of using AI, and equality and human rights, children's rights and data-protection impact assessments have been undertaken.
Last published

8 "updatedAt": "2026-08-05T15:22:40.623Z",Saved payload input/systems/artificial-intelligence-to-redact-sensitive-information.jsonIn Saidot https://app-demo.saidot.ai/govern/s/cmljioupg01eq8t7m0sagltsk/systems/cms785cad000acw01w9ce0be3GET https://app-demo.saidot.ai/api/v1/space/cmljioupg01eq8t7m0sagltsk/systems/cms785cad000acw01w9ce0be3?humanReadable=true05.08.2026

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