n8n is now the leading no-code platform for AI agents. We build production agentic workflows — LangChain, OpenAI, Claude, Gemini, RAG, tool calling, memory. From a customer-support agent in 3 weeks to a full multi-agent system in 8 weeks.
₹75,000
Quick AI Agent
₹2,00,000
Production multi-step
₹5,00,000+
Enterprise multi-agent
LangChain
Native integration
Tiered by agent complexity + integration depth. 40% deposit, 60% on delivery.
What customers most commonly need.
FAQ retrieval + ticket triage + tool calling for status checks. Reduces L1 support cost 50-70%.
Lead enrichment + qualification + outbound email/WhatsApp drafting. Plays nicely with voice agents.
PDF/email → extracted structured data → entered into systems. KYC docs, invoices, contracts.
Employees ask questions in Slack → agent searches docs/Notion/Confluence → answers with citations.
User asks 'how did last week's campaign perform' → agent queries DB → generates chart + summary.
Password resets, software access requests, leave queries — answered without humans for L1.
Product Q&A, order status, returns automation — pairs with WhatsApp + voice channels.
New user signs up → agent walks them through setup → answers questions → escalates to humans for blockers.
AI watches transactions/events for compliance flags, raises alerts, drafts SAR-style reports.
Visual editor: easier to debug + modify than pure code
Built-in integrations: 400+ apps (CRM, telephony, messaging, DB) work out-of-box
Production-grade infrastructure: queues, retries, monitoring already built
Non-developer can modify: ops team can tweak prompts/flows without dev help
Self-hosted: full data sovereignty for sensitive workflows
Cost: free (self-hosted) vs $0.10–$1.00/run for hosted LangChain platforms
Open-source: full transparency, no vendor lock-in
Multi-LLM routing: OpenAI for hard tasks, Claude for analysis, local for sensitive — all in one workflow
Pure conversational AI (chat-only) — voice/text agent platforms (Vapi, Edesy) handle conversation better than n8n's webhook-trigger model
Real-time streaming responses (typing animation) — n8n is request/response, not streaming
Highly custom agent architectures — at some point, code (LangChain Python / LangGraph) is more flexible
Sub-100ms latency requirements — n8n adds 100–300ms overhead per node
Edge deployment — n8n needs persistent server
Cross-cutting capabilities — pick one or combine for full coverage.
Single workflows or multi-flow projects built and deployed.
n8n deployed on your own infra — DPDP compliant, scalable.
Migrate from Zapier or Make.com to n8n. Slash costs, gain self-hosting.
Build agentic AI workflows with LangChain, OpenAI, Claude nodes.
Monthly retainer for new workflows + fixes + optimization.
Not sure if n8n is right? See our platform-agnostic automation service.
Book a 30-min scoping call. Fixed-price quote within one business day.