# Train on Your Knowledge

Upload documents and connect tools like Notion or Google Docs so your employee understands your business deeply.

Your AI employee only becomes valuable when it knows your business. Upload company documents, product specs, brand guidelines, process manuals, and internal policies. It reads, indexes, and understands everything, then uses that knowledge every time it works. The result is an employee that answers like someone who has been at your company for years.

Training sources go beyond simple file uploads. Connect Notion workspaces, Google Docs folders, Confluence spaces, and other knowledge bases. The training pipeline extracts content, processes it into structured knowledge, and indexes it for instant retrieval. When your employee writes a blog post, it pulls from your actual brand voice doc. When it answers a customer question, it references your real product documentation.

Training is incremental. Add new documents at any time and your employee absorbs them without losing what it already knows. Update a product spec, and the employee picks up the changes on its next interaction. Your knowledge base stays current because training never stops.

Works with PDFs, Word docs, text files, web links, and connected SaaS tools. No special formatting required. Feed it what you have, and it figures out the rest.

## Train Your AI Employees on Your Actual Business Knowledge

A generic AI agent knows what its training data covers. A Sista AI employee knows your products, your processes, your customers, and your brand, because you trained it on your own documents. Upload PDFs, Word files, internal wikis, and SOPs, and the agent ingests them as working knowledge.

Knowledge training is not keyword search. The AI employee builds a semantic understanding of your content, so it can answer nuanced questions, make connections across documents, and apply your knowledge to novel situations it has never seen before.

## Connect Live Sources: Notion, Google Docs, and More

Static file uploads are useful, but your knowledge is always changing. Sista AI connects directly to Notion workspaces and Google Docs so your AI employees stay current without manual re-uploads. When you update a document, the agent is aware of the change.

This live connection matters most for fast-moving information: pricing sheets, product specs, policy documents, and process guides. An AI agent trained on a stale document is a liability. One connected to a live source is always working from the latest version.

You can combine multiple knowledge sources for a single AI employee. A Customer Success agent might pull from your Notion knowledge base, your product changelog in Google Docs, and a set of uploaded case studies, all active simultaneously.

## Knowledge That Stays Inside Your Team

Every AI employee has its own knowledge base, scoped to what it needs for its role. A Sales agent does not need access to your engineering runbooks, and your DevOps agent does not need to know your sales scripts. Access is organized by role, not shared globally by default.

When you do want knowledge to spread across a team, Sista AI supports cross-employee shared knowledge. Train one agent and propagate relevant knowledge to the whole team, without duplicating uploads or maintaining separate knowledge bases for each agent.

## Use Cases

### Customer success team training an agent on product docs

Upload your documentation and the AI employee answers questions with accurate, company-specific knowledge from day one.

### Legal team training an agent on internal policies

Load contracts, policies, and procedures. The AI agent references the right document before taking any action.

### Sales team giving an agent competitive and product context

Train the AI employee on pitch decks, battle cards, and product sheets. Every response reflects your current positioning.

### Support team keeping an agent current as products evolve

Update training materials and the AI agent picks up the changes. No retraining sessions, no lag.

## Comparison

| Before | After |
|---|---|
| Generic AI tools give generic answers that don't reflect your business. | Train the AI employee on your docs and it answers with your knowledge. |
| Keeping an agent updated requires technical intervention. | Update training materials directly and the agent adapts immediately. |
| Agents hallucinate when they don't know the answer. | Grounded in your knowledge base, the agent stays accurate and on-topic. |
| New employees take weeks to learn the product. | Your AI agent arrives pre-trained and ready to use your knowledge from day one. |

## FAQ

### What file formats can I upload for knowledge training?

Sista AI supports PDF, DOCX, TXT, and Markdown files. You can also connect Notion databases and Google Docs directly as live knowledge sources. Support for additional formats is expanding.

### How long does it take for an AI employee to learn from uploaded documents?

Processing typically completes within seconds to a few minutes depending on document size. Once processing is complete, the AI employee can immediately draw on that knowledge in conversations and tasks.

### Can I control which AI employees have access to specific documents?

Yes. Knowledge bases are scoped per employee. You decide what each agent can access, so sensitive documents only reach the agents that need them for their role.

### What happens when I update a connected Notion page or Google Doc?

Changes are reflected in the AI employee knowledge base automatically, based on the sync frequency for your connection. You do not need to manually re-upload or retrain the agent when source documents change.

### Can my AI agent learn from my company's existing documents and knowledge base?

Yes. You can upload docs, connect Notion, Google Docs, and other sources, and the AI employee uses that knowledge when answering questions and completing tasks. Training updates take effect immediately.

> I uploaded our 80-page product spec and connected our Notion wiki. Now the agent answers questions about our product better than most people on the team.
> — Marcus L., Product Lead · SaaS company