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 do AI agents actually do in sales?

AI agents in sales handle research, outreach, lead qualification, follow-up sequencing, CRM updates, and pipeline forecasting. They operate autonomously or as assistants that prepare work for human review. They don't replace relationship-building or complex deal closing — that stays with humans. See our [guide to AI agent use cases](/blog/ai-agent-use-cases/) for a broader picture.

How are AI sales agents different from marketing automation?

Marketing automation runs fixed, rules-based workflows in batch mode. AI sales agents make decisions in real time — they read signals, personalize messages per prospect, qualify leads through conversation, and adapt cadences based on engagement. The difference is reasoning vs. scripting.

Why do AI sales agent projects fail?

Gartner predicts over 40% of agentic AI projects will fail or be canceled by end of 2027. The main culprits are poor data quality (agents amplify bad data), inadequate governance (no clear rules for autonomous decisions), and adoption resistance (only 20% of reps use AI tools daily). Starting with human-in-the-loop before going fully autonomous dramatically reduces risk.

How long until AI sales agents show ROI?

Assistive agents (human reviews before action) show time-savings ROI in 4-8 weeks. Revenue impact — higher conversion rates, shorter sales cycles — typically takes 3-6 months to measure clearly. Organizations that track the right metrics (rep productivity, lead quality, conversion rate, not just emails sent) see $3.70-$10 return per $1 invested.

Should I use cowork.ink for sales AI agents?

cowork.ink is built for teams that need shared AI agent workflows — making it ideal for sales teams where multiple reps and managers need visibility into agent activity, shared playbooks, and coordinated outreach. Visit [cowork.ink](https://app.cowork.ink) to set up your first sales agent workflow.

AI Agents for Sales: Automate Outreach, Follow-Ups & Pipeline

AI agents for sales automate outreach, follow-ups & pipeline in 2026. See 8 tasks agents handle, why 40% of projects fail, and how to deploy in 30 days. FULL guide.

Frequently Asked Questions

What do AI agents actually do in sales?: AI agents in sales handle research, outreach, lead qualification, follow-up sequencing, CRM updates, and pipeline forecasting. They operate autonomously or as assistants that prepare work for human review. They don't replace relationship-building or complex deal closing — that stays with humans. See our [guide to AI agent use cases](/blog/ai-agent-use-cases/) for a broader picture.
How are AI sales agents different from marketing automation?: Marketing automation runs fixed, rules-based workflows in batch mode. AI sales agents make decisions in real time — they read signals, personalize messages per prospect, qualify leads through conversation, and adapt cadences based on engagement. The difference is reasoning vs. scripting.
Why do AI sales agent projects fail?: Gartner predicts over 40% of agentic AI projects will fail or be canceled by end of 2027. The main culprits are poor data quality (agents amplify bad data), inadequate governance (no clear rules for autonomous decisions), and adoption resistance (only 20% of reps use AI tools daily). Starting with human-in-the-loop before going fully autonomous dramatically reduces risk.
How long until AI sales agents show ROI?: Assistive agents (human reviews before action) show time-savings ROI in 4-8 weeks. Revenue impact — higher conversion rates, shorter sales cycles — typically takes 3-6 months to measure clearly. Organizations that track the right metrics (rep productivity, lead quality, conversion rate, not just emails sent) see $3.70-$10 return per $1 invested.
Should I use cowork.ink for sales AI agents?: cowork.ink is built for teams that need shared AI agent workflows — making it ideal for sales teams where multiple reps and managers need visibility into agent activity, shared playbooks, and coordinated outreach. Visit [cowork.ink](https://app.cowork.ink) to set up your first sales agent workflow.