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.

How are AI agents different from RPA for business automation?

RPA (Robotic Process Automation) follows fixed rules and breaks when UI or process steps change. AI agents understand natural language, handle exceptions contextually, and adapt to process variations without reprogramming. AI agents can also execute tasks across unstructured data like emails and PDFs that RPA cannot process reliably.

What business processes are best suited for AI agent automation?

The best candidates are processes with unstructured inputs (emails, documents, voice), decision points requiring judgment, multi-system workflows requiring data aggregation, and high-volume repetitive tasks where exceptions are common. Examples include invoice processing, customer onboarding, support ticket routing, and contract review.

How much can AI agents reduce operational costs?

Early adopters report 40–70% reduction in labor costs for automated processes. Customer support automation typically reduces cost per ticket by 60–80%. Document processing automation cuts processing time by 80–90%. ROI timelines range from 2–6 months for well-scoped implementations.

Do I need technical staff to deploy AI agents for business automation?

It depends on the platform. No-code tools like n8n and Relevance AI let business teams build agents without coding. For self-hosted enterprise deployments like cowork.ink Business, you need basic Kubernetes familiarity for setup (roughly 1 hour), but ongoing agent management is non-technical.

AI Agents for Business Automation: Automate Workflows Beyond RPA

AI agents automate complex business workflows that RPA can't handle. Learn how to deploy AI agents for business automation with real examples and ROI data.

Frequently Asked Questions

How are AI agents different from RPA for business automation?: RPA (Robotic Process Automation) follows fixed rules and breaks when UI or process steps change. AI agents understand natural language, handle exceptions contextually, and adapt to process variations without reprogramming. AI agents can also execute tasks across unstructured data like emails and PDFs that RPA cannot process reliably.
What business processes are best suited for AI agent automation?: The best candidates are processes with unstructured inputs (emails, documents, voice), decision points requiring judgment, multi-system workflows requiring data aggregation, and high-volume repetitive tasks where exceptions are common. Examples include invoice processing, customer onboarding, support ticket routing, and contract review.
How much can AI agents reduce operational costs?: Early adopters report 40–70% reduction in labor costs for automated processes. Customer support automation typically reduces cost per ticket by 60–80%. Document processing automation cuts processing time by 80–90%. ROI timelines range from 2–6 months for well-scoped implementations.
Do I need technical staff to deploy AI agents for business automation?: It depends on the platform. No-code tools like n8n and Relevance AI let business teams build agents without coding. For self-hosted enterprise deployments like cowork.ink Business, you need basic Kubernetes familiarity for setup (roughly 1 hour), but ongoing agent management is non-technical.