Services
Make knowledge easier to find, turn speech into text or answer enquiries through chatbots and voice assistants. I integrate AI into your software and workflows around the tasks you want to simplify or automate.
Make an enquiryA searchable knowledge base, an assistant or a repeated workflow: the task comes before the model. We first clarify what information is available and what makes a result useful.
The integration can be part of a new application or connect to existing systems. Straightforward rule-based automation remains an option when it already meets the need.
Some functions can run locally; others use external services. Data volume, confidentiality, hardware requirements and operating costs determine the suitable approach.
Before connecting a service, we define which data may be processed and which results need human review. An AI system’s output is not always factually correct.
A manageable first use case makes quality, limitations and effort visible. It needs representative examples and requirements for the results.
We then decide how the function should fit into the workflow and be maintained. Model or API costs depend on the chosen technology and usage.
The knowledge app brings together articles, personal notes and voice recordings. Its integrated AI search finds relevant content through meaning and context, alongside traditional full-text search. This AI search runs locally on the user’s device.
Video: demo build with sample content
Explore this projectOptions range from chatbots for customer questions and internal support to voice assistants that take requests through conversation. Other uses include turning speech into text for dictation or conversation notes, searching your own documents, summarising and organising information, and supporting repetitive workflows. We identify the functions that make sense for your business by looking at your tasks and the systems you already use.
An integration is possible when suitable interfaces and the necessary data are available. I review the requirements with you and clarify which steps can be automated and where human approval is still needed.
We decide this before implementation. Depending on the task, processing may run locally on your devices or use a suitable external service. Confidentiality, access rights and ongoing costs are considered.
AI can produce incorrect or invented answers even when they sound convincing. Before deployment, I test the application with typical tasks, known correct answers and difficult cases such as missing or conflicting information. Answers based on your own documents can include source passages for checking. We define when the system should ask a follow-up question, flag missing information or hand over to a person. Outputs and actions with significant consequences require human approval. Problematic answers are investigated so the underlying data or processing can be improved. When models, data sources or functions change, the affected test cases are run again.
That depends on the task, the features and the connections to your existing systems. Preparing the data and testing the results also affect the work involved. Depending on the solution, there may be ongoing costs for AI services or running it yourself. Send me an enquiry and we can discuss what you have in mind. Together, we will define the scope and a suitable approach. I will then prepare a free quote and explain the expected ongoing costs.
Tell me briefly what you have in mind, even if it's still fuzzy. I'll get back to you within 48 hours.
