How to Prepare Documents for AI Customer Support

Prepare documents for an AI customer-support agent by choosing answers your business stands behind. A folder may contain a current manual, old price sheet and email promising a special refund. Not all belong in customer answers.

This guide turns scattered files into a reviewed folder for your AI knowledge base. Gather current material, extract readable text, recover useful conversation answers and record unwritten knowledge. Then use a desktop AI assistant to organize copies for review. You’ll have a small, traceable support document collection ready for your chosen system’s upload and indexing.

1. Choose current support documents

Choose a few topics, such as billing, setup and common errors. Gather current PDF manuals, Word instructions, FAQs, policies and solved support cases.

Preserve originals and record each item’s source, owner, approval or review date, version, and visibility (customer-facing or internal). An old email offering one customer a special refund shows an exception, not current refund policy. Confirm current policy with its owner before adding it to support documents.

2. Convert support documents into readable text with extraction and OCR

Text extraction reads a file’s stored characters. Scanned pages need OCR (optical character recognition) to convert word images into text.

Upload a PDF or DOCX to Google Drive and choose Open with > Google Docs. A DOCX may stay in Office editing mode; convert as needed with File > Save as Google Docs. See Google’s document import guidance. Inspect the text, then choose File > Download > Plain text (.txt) using the download menu.

Google recommends files 2 MB or smaller for best PDF and image conversion. Tables, columns and footnotes may not transfer correctly. Google Drive OCR guidance.

Compare extracted text and OCR output with originals: check headings, prices, error codes and tables. For example, rewrite scrambled pricing tables as sentences preserving each plan’s price and billing period.

3. Choose an open-source conversion tool when needed

Choose by document type; inspect output.

Tool	Suitable use	Main limit
pdfplumber	Extract text and tables from machine-generated PDFs with Python.	No built-in OCR.
OCRmyPDF	Add a searchable text layer to scanned PDFs.	Its sidecar is not a complete mixed-document export.
Pandoc	Convert DOCX to plain text or Markdown.	Not a PDF OCR tool.

With Pandoc installed, use pandoc instructions.docx -t plain -o instructions.txt. The Pandoc manual explains its formats and options.

OCRmyPDF’s --sidecar contains newly recognized OCR text and may omit existing text. Fully extract mixed PDFs with pdftotext after OCR. OCRmyPDF cookbook.

4. Turn resolved conversations into support knowledge

Have your Slack workspace owner or admin export authorized support conversations for relevant dates; retain needed channels. Exports contain JSON messages and file links, not necessarily attachments. Private-channel and DM exports depend on plans and permissions. Slack export instructions.

Preserve the question, accepted answer, context and source. Copy selected resolved email threads into text, preserving sequence and the final approved answer. Remove signatures, repeated quoted chains and private customer details. Turn this into reusable AI knowledge base instructions; exclude whole inboxes from the knowledge folder.

5. Capture missing support knowledge with voice

Have experienced staff dictate general rules, common use cases, exceptions, good replies and when to escalate to a human.

In Google Docs, use Tools > Voice typing in a supported browser. Google instructions. On Mac, enable System Settings > Keyboard > Dictation. Apple Mac instructions. On iPhone, enable Dictation under Settings > General > Keyboard, then tap the keyboard microphone. Apple iPhone instructions.

For existing recordings, OpenSuperWhisper is an MIT-licensed open-source app for Apple Silicon Macs. It supports audio drag-and-drop, queued transcription, and Whisper and Parakeet models.

Transcribe recordings only with permission. Check names, numbers and negations: a missing not can reverse a refund rule. Humans must review transcriptions before approving them as support knowledge.

6. Give your AI knowledge base a clear folder structure

Separate source material, extracted text and approved support documents:

support-knowledge/
├── originals/
├── extracted/
├── ready/
│   ├── billing/
│   ├── getting-started/
│   └── troubleshooting/
└── review-needed/

Limit each approved support document to one subject. Use a meaningful filename like reset-password.txt; record source, owner, review date, version and visibility inside. Exclude internal-only material from customer-facing uploads; visibility labels alone don’t enforce access.

For broader organization, see Ayodesk’s small-business knowledge-base setup guide.

7. Ask a desktop AI assistant to organize copies of support documents

ChatGPT Work on desktop can use available, approved local files, apps and tools. Claude Desktop’s new experience combines chat and Cowork; authorized folders appear under Trusted folders. Interfaces and availability vary.

Share only prepared copies through approved local access, or attach a few files. Attachment-based chat may return recommendations or downloads without other local file access. Desktop access does not guarantee offline processing.

Use this prompt:

Work only on these prepared copies. Read every accessible file; inventory unread or inaccessible files and explain why. Propose clear filenames and subfolders. Remove duplicates while preserving exceptions, metadata and source links. Flag conflicting policies for human review; never invent answers. Create upload-ready text files and a manifest mapping inputs to outputs, listing all changes and unresolved issues. If file writing is unavailable, return downloadable files or their contents for review.

8. Review and upload approved documents

Have a human owner approve current policies, resolved conflicts and permissions before moving documents into ready. Check your indexer’s accepted formats and size limits, then upload only the ready folder.

Indexing generally enables retrieval of relevant passages; it doesn’t automatically train the model on your business. OpenAI’s retrieval guide describes this search process.

Test your customer support automation with 10 real questions against approved answers. Include an exception and a question the documents cannot answer; verify human escalation when the agent cannot answer. Record failures, correct documents and retest. Keep originals and the review manifest to trace future policy changes.