AI-FAQ implementation
We implement AI-FAQ: a smart assistant that answers routine customer questions based on your knowledge base/content (often on an LLM). To take the load of repetitive questions and help instantly. Honestly upfront: AI can err and make things up (hallucinations), so it needs quality source content and review; it answers routine things but does NOT replace humans on complex, non-standard and sensitive questions (it must honestly hand over to a human); it requires maintenance and updates; and it is not a guarantee of 'support without people'. We make an honest AI assistant with boundaries, not a 'robot instead of support'.
AI-FAQ implementation — overview
AI-FAQ is an intelligent assistant (usually based on an LLM tied to your knowledge base/documentation) that understands a customer's free-form question and answers it from your materials rather than giving a rigid list of links. The goal is to instantly close routine repetitive questions and reduce the support load. Honestly about hallucinations, this is key: AI models can confidently give wrong or fabricated answers (hallucinations). So AI-FAQ must not be let loose 'as is' — it must answer STRICTLY based on your verified content (not 'off the top of its head'), and answers on critical topics are worth verifying. Promising 'AI always answers correctly' would be dishonest. We set up source grounding and boundaries, reducing the risk of fabrication. Honestly about 'good source content is needed': the quality of AI-FAQ answers directly depends on the knowledge-base quality. No proper documentation/FAQ — the AI has nothing to answer from, there will be gaps and guesses. Good content comes first (see knowledge base 1010), then AI on top of it. Honestly about limits and handover to a human: AI closes routine things well but should NOT solve complex, non-standard, emotional or sensitive questions (complaints, money, special cases). A good AI-FAQ honestly says 'not sure' and hands over to a human rather than fabricating an answer and locking the customer in. Honestly about 'not a replacement for people': AI-FAQ reduces the flow of routine questions but does not replace support entirely — people are needed for everything beyond the routine. Promising 'support without people' is dishonest. Honestly about maintenance: AI-FAQ must be maintained — update content, monitor answer quality, improve on gaps. It is a living process. Honestly about the effect: with good content and boundaries it offloads support and speeds up answers to routine things, but it is not a guarantee or a 'robot instead of people'. Honestly about access: a knowledge base/content, integration, a maintenance resource are needed. An important boundary: this is AI-FAQ; the knowledge base (source) — 1010; AI agent suggestions — 1021; live chat — 1008. Picture this: instead of 'the same questions by hand' — instant answers to routine things with honest handover of the complex to a human. The base price starts from 50,000 ₽ (depends on content and integration).
Problems we solve
- Support drowns in the same routine questions.
- Customers wait for answers to simple things that are in the documentation.
- An old FAQ is a rigid list where the answer is not found.
- No instant help on routine questions outside work hours.
What's included in the AI-FAQ implementation service
- AI-FAQ implementation based on your knowledge base/content
- Grounding answers in verified source (against hallucinations)
- Honest handover to a human on the complex/sensitive
- An assessment of content readiness (no content — nothing to answer from)
- Honest boundaries (AI errs; good content needed; not a replacement for people; maintenance)
- A link with the knowledge base (1010), AI suggestions (1021), chat (1008)
- A maintenance and update plan
- Handover and review with you
What you get
- Instant answers to routine questions from your content
- Reduction of the repetitive-request flow
- Honest handover of the complex/sensitive to a human
- Honest boundaries (AI errs; content needed; not a replacement for people; no guarantee)
How the work goes: steps
- We assess the knowledge base/content as a source for AI
- We implement AI-FAQ with source grounding and boundaries
- We set up handover to a human and maintenance, honestly set boundaries with you
Why PDV Expert
- Fixed price and timeline — no surprises on the invoice.
- Report and recommendations in plain language — clear without a technical background.
- In touch at every step and answering questions about the result.
FAQ
Will AI always answer correctly?
No, honestly: AI models can confidently give wrong or fabricated answers (hallucinations). So AI-FAQ must not be let loose 'as is' — it must answer strictly based on your verified content, and critical topics are worth verifying. We set up source grounding and boundaries to reduce the risk of fabrication, but honestly warn: AI does not guarantee 100% correctness, and a human is needed for the complex.
Will AI-FAQ replace support and people?
No, honestly: AI closes routine repetitive questions well and reduces the flow but does NOT replace people on complex, non-standard, emotional and sensitive questions (complaints, money, special cases). A good AI-FAQ honestly says 'not sure' and hands over to a human rather than fabricating and locking the customer in. Promising 'support without people' would be dishonest — it is offloading, not replacement.
Can AI-FAQ be made without a proper knowledge base?
Well — no, honestly: AI answers directly depend on source-content quality. No proper documentation/FAQ — the AI has nothing to answer from, there will be gaps and guesses (and guesses are hallucinations). Good content comes first (knowledge base, 1010), then AI on top of it. Plus AI-FAQ must be maintained and updated. We will honestly assess content readiness rather than launch AI on emptiness.
About the provider
The «AI-FAQ implementation» service is provided by PDV Expert — a team specialising in «Customer retention». We work under contract and deliver a written report with recommendations.