
AI Agent Builder for Context Aware Automation Across Your Apps
Use Latenode's AI agent builder to create agents fast: connect data, add natural language instruction, and automatically execute action across your apps with chat support.
Explore AI agents for business workflow automation
Explore use cases across sales, support, finance, and marketing. See where to automate service, approvals, and reporting with a custom AI agent.
AI agents for sales workflow automation
Automate lead qualification, CRM records, and one follow-up
Build AI agents that qualify inbound leads, enrich company records, assign owners, score opportunities, and alert sales teams when deals need action.
Conversational AI agents for customer service
Resolve, route, and summarize customer requests faster
Use support agents that classify tickets, summarize history, draft replies, check order or subscription status, escalate urgent cases, and sync Zendesk, Intercom, Slack, or your CRM.
AI agents for finance automation and decision support
Automate invoice, expense, procurement, and approval workflows
Build agents that read invoices and requests, validate them against policy, check payment status, route approvals, notify stakeholders, and maintain an audit trail across spreadsheets, accounting systems, email, and a finance tool.
AI agents for marketing workflow automation
Automate campaign, content, SEO, and reporting processes
Agents research topics, generate briefs, sync campaign records, prepare reports, monitor SEO changes, and publish tasks into CMS, project management, analytics, and a marketing tool.
AI agents for HR automation and employee workflows
Help employees get answers and complete employee processes
Build agents that answer questions, collect employee requests, route onboarding tasks, summarize documents, open tickets, and connect internal HR apps, knowledge bases, Slack, email, and approvals.
Keep AI Agents Grounded in Your Business Data
Connect documents, knowledge bases, policies, databases, and app data so agents make decisions with context your team already uses.

Visual when simple. JavaScript when complex
Build agents with natural language in the studio. Use guided development to create, refine stages, include rules, and attach data as the process grows.

Release AI Agent Changes with Control
Test, debug, and monitor agent versions with a scenario dropdown to ensure accuracy before production.

Integrate Agents with 5,500+ Apps, LLMs, Custom APIs, and Company Records
Give agents access to the tool they need — from CRMs, databases, files, and messaging apps to LLMs, webhooks, and custom API connectors.

Deploy Agents in a Production Environment
Run agents from real triggers, expose them to other systems, and keep each production path easy to monitor and adjust.
Expose agents as API endpoints
Turn an agent into an endpoint external systems can call.
Trigger agent flows with webhooks
Launch agents from forms, CRMs, product events, payment events, and private apps.
Run scheduled agent jobs
Run agents hourly, daily, weekly, or on custom schedules.
Embed agent action into an application
Trigger agents inside the tools your team already uses.
Build chat-based conversational agent flows
Use agents in client chat experiences when conversation is the right interface.
Explore Pre-built AI Agent Templates
Start instantly with pre-built automation. Tailor one template with no code required.
HealthcareReal estateSupply chainEcommerceInsurancePharmacovigilance
About Latenode
From simple automations to production-ready agents, Latenode brings AI models, custom logic, and safeguards into one visual studio.
Security, compliance, access controls, and audit logs
Protect customer data, credentials, and each connected system with encrypted traffic and encrypted stores. Latenode supports OAuth where available and uses centralized logs to help trace audit-relevant activity.
Run securely with scoped permission, private-network infrastructure, least-privilege practices, vulnerability scanning, penetration testing, intrusion detection, and encrypted backups.
Run multi-step AI agents without per-operation fees
Scale production agents without paying a separate fee for every operation they run. Latenode keeps pricing predictable as workflows branch, retry, and call multiple apps.
That makes it easier to budget for high-volume automation and keep agent workloads running without trimming useful steps just to control usage spikes.
Overviews and webinars
FAQ
What is an AI agent builder?
An AI agent builder is a platform to create, connect, and manage agents that reason, act, use a tool, and take action across apps. Latenode's agent builder combines a visual studio, coding support, 5,500+ integrations, and control in one place.
Do I need to know how to code to build agents?
No. You can build agents with Latenode's visual builder without writing code. For custom logic or API calls, write code when needed.
Can I use my own sources and systems?
Yes. Latenode connects to databases, CRMs, APIs, file storage, webhooks, and MCP servers. Give each agent the data sources it needs and query them directly at runtime.
How do I launch an AI agent once it's built?
Publish agents as API endpoints, scheduled jobs, webhook triggers, or embedded actions inside another tool. The same process you build and test runs in production with no migration.
Can I use Latenode for complex enterprise use cases?
Yes. Combine natural language, prompt design, custom logic, approvals, and integrations to deliver flexible processes for advanced work.
Learn how to customize agentic workflows
Guides for teams building agents from first release to observability, architecture choices, and enterprise rollout.
Guide
What is AI Agent: Artificial Intelligence Agents Explained
See the power of autonomous agents in automation, decision-making, and operating efficiency.
TutorialHow to Build an AI Agent from Scratch: Developer Tutorial + Code Examples 2025
Learn how to assemble custom AI agents from scratch with essential architecture, one development step, and security measures.
Deep DiveAI Agent Architecture: Intelligent Design
Understand the core system patterns that enable reliable agentic design in a dynamic environment.
Use CaseAI Agent Use Cases: Practical Applications and Implementation Examples
See practical examples for service, marketing, and operations automation.
GuideAI Automation Agents in 2025: Implementation Strategies
Accelerate rollout with setting choices, testing loop design, integration planning, and speed improvements.


