Custom AI Solutions
Custom AI solutions are assistants that know an organisation's own documents and data, ground their answers in those sources and cite them. We design and build them using a RAG (Retrieval-Augmented Generation) architecture.
Who is it for?
- Organisations with many internal documents, policies or technical knowledge bases
- Teams that want to answer frequent employee or customer questions quickly and consistently
- Those frustrated that general-purpose chatbots do not know company-specific information
How we work
The steps show a general framework; scope and duration are adapted to each organisation.
Identifying data sources
We decide which of your PDFs, emails, databases and document systems will be used, and under whose access rights.
Architecture design
We design how data is split, indexed, searched and passed to the model, taking access rights and privacy requirements into account.
Prototype and evaluation
We measure answer accuracy and source citation on a test set of your real questions and improve the architecture accordingly.
Rollout and monitoring
We monitor the system through user feedback and quality metrics and refresh the index as data changes.
Deliverables
- An assistant design grounded in your data that cites sources
- An evaluation test set and quality report
- A data and security architecture that respects access rights
- An operations and update guide
Frequently asked questions
Does RAG completely prevent hallucination?
No. Grounding answers in your sources reduces the risk of hallucination but does not eliminate it. That is why we set up source citation, behaviour where the assistant says when it does not know, and regular evaluation tests.
Does our data go to the model and outside?
It depends on the architecture. With an Enterprise API only the document passages relevant to a question may be sent to the model; if privacy requirements are high, the model can run inside your organisation (on-premise). In every case we document the data flow.
Our other services
AI Strategy and Discovery
We review your existing workflows (HR, finance, customer service, operations). We map which processes AI can automate, where it can reduce cost and where it can raise efficiency.
Model Selection and Vendor-Independent Advisory
We choose the large language model (LLM) and tools that best fit your needs, budget and data policy. We are not tied to a single vendor.
Product Development, Security and Compliance
Enterprise API setups, integration of open-weight models running on your own servers (on-premise) where needed, and AI-integrated web and mobile application development when required.
Team Training and Prompt Engineering
Installing the technology is not enough; people need to use it well. We teach teams to use Copilot, ChatGPT or custom assistants and to write effective prompts.
Let's talk about this service
Let us listen to your processes and goals and evaluate together whether this service fits you.
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