What AI models does the agent use?

The agent has access to Claude, DeepSeek, Gemini, and other top models. It automatically routes to the best model for each task — you never have to think about API keys or token limits.

Yes. Each agent runs in an isolated environment. We don't train on your data, and you can export or delete everything at any time. The underlying engine (GoGogot) is open-source, so you can audit exactly how it works.

What can the agent actually do?

Browse the web, process files (CSV, PDF, images), run scheduled tasks, remember context across sessions, and communicate via Telegram or Slack. Think of it as a capable junior employee, not a chatbot.

How does memory work?

The agent maintains persistent memory across sessions. It remembers your preferences, past conversations, and task context. You can also explicitly tell it to remember or forget things.

Can I self-host the agent?

Absolutely. GoGogot is 100% open-source. Run it on your own hardware for free. cowork.ink is the managed version — we handle servers, model costs, updates, and uptime so you don't have to.

Is there a free trial?

We offer a 7-day money-back guarantee. Spin up an agent, give it real tasks, and if it doesn't save you time, we'll refund you — no questions asked.

What is AI document automation?

AI document automation uses machine learning and large language models to extract structured data from incoming documents, generate new documents from templates, and route them through business workflows automatically— replacing manual data entry. See our [guide to AI agent document processing](/blog/ai-agent-document-processing/) for the technical pipeline details.

How is AI document automation different from OCR?

OCR converts images of text into machine-readable characters but has no understanding of context or document structure. AI document automation goes further—it understands what extracted fields mean, validates data against business rules, handles varied layouts across vendors, and triggers downstream actions automatically.

What types of documents can be automated with AI?

Invoices, purchase orders, contracts, insurance claims, loan applications, HR onboarding forms, medical records, shipping manifests, and compliance documents. Any document with structured or semi-structured fields is a candidate for automation.

How accurate is AI at extracting data from documents?

Modern AI document systems achieve 95–99% extraction accuracy on well-trained models, compared to 60–70% for rules-based OCR. Accuracy depends on document variety and the quality of labeled training examples.

Can AI generate documents automatically, not just extract from them?

Yes. AI can generate documents outbound too—populating contract templates from CRM data, drafting offer letters from HR records, creating invoices from order data. Document generation is the often-overlooked second half of document automation.

AI Document Automation: Extract, Generate & Route with Agents

AI document automation extracts, generates & routes documents with agents. STEP-BY-STEP guide covering IDP, use cases & tools. Start automating today!

Frequently Asked Questions

What is AI document automation?: AI document automation uses machine learning and large language models to extract structured data from incoming documents, generate new documents from templates, and route them through business workflows automatically— replacing manual data entry. See our [guide to AI agent document processing](/blog/ai-agent-document-processing/) for the technical pipeline details.
How is AI document automation different from OCR?: OCR converts images of text into machine-readable characters but has no understanding of context or document structure. AI document automation goes further—it understands what extracted fields mean, validates data against business rules, handles varied layouts across vendors, and triggers downstream actions automatically.
What types of documents can be automated with AI?: Invoices, purchase orders, contracts, insurance claims, loan applications, HR onboarding forms, medical records, shipping manifests, and compliance documents. Any document with structured or semi-structured fields is a candidate for automation.
How accurate is AI at extracting data from documents?: Modern AI document systems achieve 95–99% extraction accuracy on well-trained models, compared to 60–70% for rules-based OCR. Accuracy depends on document variety and the quality of labeled training examples.
Can AI generate documents automatically, not just extract from them?: Yes. AI can generate documents outbound too—populating contract templates from CRM data, drafting offer letters from HR records, creating invoices from order data. Document generation is the often-overlooked second half of document automation.