Knowledge assistants
Search internal information and answer questions with source references using retrieval-augmented generation (RAG).
AI Development · South Africa & remote
Practical AI development and integration for South African businesses. Help your team find information, process documents and reduce repetitive work with tools designed around a measurable need.
Free estimate · Requirements reviewed by the studio · No obligation
AI is useful when it helps someone complete a task more accurately or with less effort. We first identify the bottleneck, the available data and how you will judge whether the result is useful.
A focused proof of concept can test quality, cost and data access before a wider rollout. Human review, source references and fallback behaviour belong in the design.
What we can build
Search internal information and answer questions with source references using retrieval-augmented generation (RAG).
Extract and structure information from documents, with validation and review for uncertain results.
Assist with response drafting, information retrieval and routing while keeping escalation to people clear.
Connect LLM APIs to business workflows with scoped permissions, approval steps and limits on actions.
Built into the process
From concept to launch
We discuss your users, goals and constraints. Together we define the essential features, dependencies and a sensible first milestone.
Review the main journeys and working software as it takes shape. Feedback stays close to the build, with changes discussed openly.
Test the important workflows, prepare deployment and handover, then agree what support and iteration should look like.
Your next step
Share your goals and a little about the project. We’ll review the details and discuss a practical next step.
Free project estimate · No obligation
Technology with a purpose
We choose tools around the product, integrations and maintenance needs. The final stack is agreed during technical planning.
From the studio
For AI work, we begin with a bounded use case and representative examples. Together we agree what a useful result looks like, test the quality and operating costs, and review the findings before committing to a broader build.
Before we begin
Often an existing model with access to the right context is a useful starting point. We assess retrieval, prompting and integration before considering a more specialised approach.
Potentially, with appropriate permission and access controls. We review the data, provider terms and storage requirements before connecting documents to a model.
We design evaluation cases, source references, human review and fallback paths around the task. AI output should not be treated as automatically correct, especially for consequential decisions.
Your next step
Share your goals and a little about the project. We’ll review the details and discuss a practical next step.
Free project estimate · No obligation