Training Chatbots on Your Data
Always acc
Generic chatbots give generic answers. We train AI models on your actual company data — your SOPs, product catalogue, pricing, documentation, and history — so the chatbot knows your business as well as your best employee.
Document ingestion
We ingest PDFs, Word docs, Google Docs, Notion pages, Confluence spaces, websites, and more — turning your existing knowledge base into AI training data.
RAG architecture
We use Retrieval-Augmented Generation (RAG) so the AI answers from your documents, accurately citing sources — not hallucinating from general knowledge.
Private & secure
Your data stays yours. We deploy on private infrastructure or your own cloud environment — your documents are never used to train public models.
Continuous updates
As your business changes, the knowledge base updates. We set up pipelines so new documents are automatically ingested and indexed.
Accuracy validation
We test the chatbot against real questions and review answers for accuracy. If it's wrong, we fix the source document or the retrieval configuration.
Internal & external use
Train a chatbot for customer-facing support OR for your internal team — a knowledge assistant that can answer staff questions across your entire document library.
The process.
Knowledge audit
We map your existing documentation — what exists, where it lives, what format it's in, and how complete and accurate it is.
Ingestion & indexing
We ingest, clean, chunk, and index your documents into a vector database. The AI can now retrieve relevant context for any question asked.
Model configuration & testing
We configure the LLM, define the system prompt, test against real questions, and refine until answer quality meets the bar.
Deployment & maintenance
We deploy the trained chatbot, connect it to your front-end, and set up a process to keep the knowledge base up to date as things change.
Common questions.
We configure honest fallback responses — "I don't have information on that, but you can contact us at..." is always better than a hallucinated answer. Accuracy is a hard requirement.
No. We use the OpenAI API in a way that doesn't use your data for model training. For sensitive data, we can deploy on-premise LLMs that never send data to third parties at all.
It depends on how often your documentation changes. We set up automated ingestion pipelines so new documents are indexed as they're published — typically requiring minimal manual effort.
Yes — internal AI assistants trained on your SOPs, HR policies, product specs, and processes are one of the highest-value applications. Staff get instant answers instead of searching through files.
Want AI that knows your business?
Let's talk.
Tell us what knowledge you want to make accessible and we'll design the right architecture.
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