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AI PRO Limited

Automation • Product • Growth

AI Speech Pro Limited

AI Transcription Platform for the Judiciaries of Kenya, Mauritius, and Mozambique

A secure judicial speech-to-text platform delivered through aispeechpro.com to support faster transcript creation, searchable records, and structured review across court environments.

Challenge

Court reporting teams were spending too much time on manual transcription, delayed file circulation, and inconsistent storage of proceedings across registries and hearing rooms.

Solution

AI PRO Limited built a web-based transcription workflow with speaker labelling, timestamps, human review, searchable archives, and export tools suitable for operational and legal follow-up.

Results

  • Faster transcript turnaround across hearing workflows
  • Better search and retrieval of proceedings
  • Reduced dependence on fully manual transcription processes

Context

A secure judicial speech-to-text platform delivered through aispeechpro.com to support faster transcript creation, searchable records, and structured review across court environments. In this environment, the goal was not just digitisation for its own sake, but a measurable improvement in how work moved from intake to review, action, and reporting.

Operational problem

Court reporting teams were spending too much time on manual transcription, delayed file circulation, and inconsistent storage of proceedings across registries and hearing rooms. These issues often lead to duplicated effort, inconsistent response times, and limited confidence in the underlying records or workflow data.

Delivery approach

AI PRO Limited built a web-based transcription workflow with speaker labelling, timestamps, human review, searchable archives, and export tools suitable for operational and legal follow-up. We approached the work as both a technology implementation and an operating model upgrade, ensuring teams had the right permissions, review paths, status visibility, and integration points to make the solution sustainable.

Outcomes and next steps

Faster transcript turnaround across hearing workflows. Better search and retrieval of proceedings. Reduced dependence on fully manual transcription processes. More importantly, the organisation gained a clearer foundation for scaling services, improving governance, and introducing the next layer of automation without disrupting core operations.

Technology

Next.jsNestJSSpeech AIPostgreSQLSecure Review Workflow

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