RHIBUSTECH
DIGITAL PARTNERS. INTELLIGENT SOLUTIONS.
RHIBUSTECH
DIGITAL PARTNERS. INTELLIGENT SOLUTIONS.
We build generative AI assistants and custom AI solutions around your own data, and train your teams to use AI well, from a first workshop to production.
What we doOff-the-shelf chatbots know the internet. Yours should know your policies, products and processes. We build generative AI assistants that answer from your own documents and data, show where an answer came from, and stay inside the guardrails you set.
Documents, SharePoint, databases, email
Finds the passages that matter for each question
Writes the answer from what was retrieved
Filters, access control, audit trail, cost tracking
Web chat, Microsoft Teams, internal apps or an API
Retrieval-augmented generation (RAG) lets the model answer from your documents and cite them, instead of guessing from general knowledge.
Prompts, filters, access controls and logging around the model, with quality and token costs tracked so you can see what it does and what it costs.
Agents that act, not just answer: they use tools, call your systems and follow the rules you set. Built on Microsoft Foundry (formerly Azure AI Foundry), with logging and human approval where it matters. See Azure cloud services.
A web chat, a Microsoft Teams assistant, a feature inside an internal application or an API for other systems, whichever fits how your people work.
We start by checking whether a product you already pay for does the job. Where it does not, we build: AI wrappers that put your prompts, rules and data behind your own app or API, document and email processing, and predictive models for demand, risk or maintenance.
For the strategy side, including which use cases to pick and how to stay on the right side of the EU AI Act, see Digital Strategy & AI Consulting.
The best AI tool is wasted on people who are unsure how to use it. Our hands-on workshops and bootcamps give teams practical skills, with responsible use built in.
Hands-on sessions covering Claude and ChatGPT, prompt engineering, responsible AI use, enterprise integration patterns, and practical application in day-to-day workflows.
Intensive, practitioner-led training on Lovable (AI-powered no-code application development), GitHub Copilot (AI-assisted coding for engineering teams), and Claude Code (agentic, conversational software development and the frontier of vibe coding).
Ready to set priorities and rules? Our consulting service covers use case registers, prioritisation, governance and EU AI Act readiness.
Digital Strategy & AI Consulting →Plain answers to what teams ask us before they start with generative AI.
A generative AI solution uses a large language model to write, summarise, answer questions or extract information. A custom solution connects that model to your own documents and systems, adds guardrails and logging, and puts it where your people work, such as a web chat, Microsoft Teams or an internal application.
RAG is a pattern where the system first searches your own documents for the passages that matter and then asks the language model to answer from them. It gives more accurate, current answers than the model alone and lets the assistant show where an answer came from.
An AI wrapper is your own application or API placed around a language model. It holds your prompts, business rules, data access and logging, so you can change models, control costs and keep sensitive logic in one governed place.
An AI agent is a language-model-powered assistant that can take actions as well as answer questions: it uses tools, reads and updates your systems and follows rules you define. We build custom agents on Microsoft Foundry (formerly Azure AI Foundry), with access controls, logging and human approval for sensitive steps.
That depends on the service and its settings. Enterprise-grade AI services are generally configured so that your prompts and data are not used to train public models, and we choose and configure services with data privacy in mind. We confirm the position for any service we propose before you commit.
Yes. We run hands-on generative AI awareness workshops covering Claude and ChatGPT, prompt engineering and responsible use, and a one-day AI tools bootcamp on Lovable, GitHub Copilot and Claude Code.
Yes, where a product you already have does not do the job. Typical examples are predictive analytics and forecasting models for demand, risk or maintenance, built and monitored so they keep performing after launch.
Tell us where you want to go. Your first 60-minute consultation is free, and we reply to every enquiry within 48 hours.