Custom conversational AI trained on your docs, wikis, policies, and SOPs. Every employee gets instant, accurate answers without digging through folders or pinging colleagues.
Confluence, SharePoint, Google Drive, Notion, Slack threads, email chains. Your team knows the answer exists somewhere, but they can't find it fast enough.
Onboarding means shadowing colleagues and bookmarking wikis. Every question interrupts someone, and the same questions get asked over and over.
Your senior people spend hours each week answering the same internal questions instead of doing high-value work. When they leave, that knowledge walks out with them.
Keyword search across your docs returns dozens of results. Your team needs answers to questions, not a list of documents to sift through.
Employees ask questions in natural language and get answers sourced directly from your internal docs, with citations pointing to the exact source.
HR policies, compliance procedures, security protocols. Employees get instant, authoritative answers instead of guessing or escalating to managers.
New hires get a 24/7 onboarding buddy that knows every process, system, and procedure. Ramp-up time drops dramatically when answers are always one question away.
Connects to Confluence, SharePoint, Google Drive, Notion, and custom sources. One unified interface across all your knowledge repositories.
Respects your existing permission structure. Employees only see answers from content they're authorized to access. Role-based visibility across departments.
See what employees are asking about most, where the AI can't find answers, and which docs are outdated. Data-driven insights to improve your internal knowledge.
Hi! I can help you find information from our internal docs, policies, and procedures. What do you need?
What’s our policy on remote work for international employees?
International remote work requires pre-approval from your manager and the People team:
Where do I submit the approval request?
You can submit the request through the People Ops portal. The form requires your destination country, dates, and manager approval. Processing typically takes 3-5 business days.
Every answer is grounded in your actual internal documentation. The AI cites its sources so employees can verify and dive deeper. The chatbot retrieves from your approved documentation and includes checks to reduce unsupported responses.
A 50-person company deployed ChatBotHouse as their internal knowledge assistant. Senior staff reported saving around 3 hours per week that was previously spent answering the same questions from colleagues.
The AI respects your existing access controls. It only returns information from documents that the requesting user is authorized to see. Role-based permissions can be configured per department, team, or individual.
Depending on the integration done, knowledge base can sync automatically. When docs are updated, the AI reflects changes within the configured sync interval. This is typically near real-time.
No, and that is by design. The AI only answers from your verified internal content. Unanswered questions are logged as knowledge gaps so you know what documentation to create.
Studies show knowledge workers spend 20-30% of their time searching for information. An AI assistant that answers in seconds what used to take 10-20 minutes of searching across Confluence, SharePoint, and Slack threads can save each employee several hours per week. Senior staff save even more because they're no longer the go-to person for every process question. We track answer times and query volume through the dashboard, so the time savings are measurable from day one.
No. The AI uses retrieval-augmented generation (RAG). It searches your documents at query time and generates answers from what it finds. Your data is never used for model training.
Internal knowledge base deployments are our fastest: 1-2 week discovery, 3-5 week proof of concept with your actual content, then staged rollout. Most companies are live within 6-8 weeks.
Yes. Shared company-wide knowledge alongside department-specific bases. Engineering sees engineering docs, HR sees HR docs, everyone sees company-wide policies.
It doesn't replace your wiki. It makes your wiki actually useful. Most company wikis have the right information buried under layers of outdated pages and confusing structure. An AI assistant sits on top of your existing content (Confluence, SharePoint, Notion, Google Drive) and lets employees ask questions in plain language. "What's our expense policy for client dinners?" gets a direct answer with a source link, instead of 15 search results the employee has to sift through. Your wiki stays as the source of truth. The AI just makes it accessible.
We set up source priority rules during the build. If the same topic appears in both a 2024 policy document and a 2021 wiki page, the AI prioritizes the newer source. When conflicting information exists, the AI can flag the discrepancy rather than guessing which is correct. Outdated documents can be excluded from the knowledge base entirely, or marked as archived so the AI knows to prefer current versions. The knowledge gap analytics also surface which documents are being cited most and which ones employees are finding unhelpful, giving your team a clear signal about what needs updating.
Significantly. New hires typically spend their first weeks asking the same questions: "Where do I submit expense reports?", "What's the VPN setup process?", "Who approves time off?" Instead of waiting for a colleague to respond or digging through onboarding documents, they ask the AI and get an instant answer with a link to the source. This reduces the "I don't want to bother anyone" hesitation that slows new employees down. It also reduces the interruption load on experienced team members who would otherwise be answering those questions repeatedly.
We'll build a working demo using a sample of your internal docs. See how your team would interact with it before committing to anything.
No commitment. No sales deck. Just a real conversation about your use case.