How to Build an Internal Support Bot from Docs

Internal teams waste time answering the same setup questions over and over. A docs-based support bot can handle the repeat questions and leave the edge cases for humans.

The right implementation is narrow: search the company docs, summarize the relevant sections, and point to the source.

What the bot should cover

Focus on repeated operational questions:

• account setup
• API keys
• environment variables
• deployment steps
• usage limits

Do not try to make the bot answer every business question. Keep it scoped to docs and internal runbooks.

Prismfy example

curl -X POST https://api.prismfy.io/v1/search \
  -H "Authorization: Bearer ss_live_YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "query": "How do we configure staging credentials?",
    "domain": "docs.yourcompany.com",
    "language": "en",
    "engines": ["brave", "bing"]
  }'

From search to answer

import requests

def docs_bot_answer(question: str) -> str:
    data = requests.post(
        "https://api.prismfy.io/v1/search",
        headers={"Authorization": "Bearer ss_live_YOUR_KEY"},
        json={
            "query": question,
            "domain": "docs.yourcompany.com",
            "language": "en",
            "engines": ["brave", "bing"],
        },
        timeout=30,
    ).json()

    top = data.get("results", [])[:2]
    evidence = "\n\n".join(
        f"{r['title']}\n{r['url']}\n{r.get('content', '')}"
        for r in top
    )

    return f"Answer only from this docs evidence:\n\n{evidence}"

Common mistakes

• Letting the bot search the entire web.
• Returning overly long answers.
• Answering with no sources attached.
• Using broad "AI assistant" language instead of a specific support workflow.

If you want an internal support bot that stays within your docs, start with Prismfy docs and build a domain-scoped POST /v1/search workflow.