AI Automation

Agentic workflows and AI-driven automation that take repetitive operational work off your team's plate — from support triage to internal tooling.

Our AI Automation team combines product strategy, engineering, and performance optimization to build solutions that are discoverable, scalable, and ready for long-term growth.

Technology stack

  • LangChain / LangGraph
  • n8n
  • OpenAI / Claude Function Calling
  • Python
  • RAG Pipelines
  • Zapier / Make

Scope

Discovery, design, development, testing, and launch support.

Variants

6 implementation variants for different business models.

Outcomes

Performance, conversion quality, and maintainable architecture.

Delivery variants available: 6

Request a proposal

What's included

Multi-step agentic workflows with human-in-the-loop checkpoints
AI-powered support triage & auto-responses
Internal ops automation — reporting, data entry, approvals
Document processing & structured data extraction
Integration with your existing CRM/ERP/ticketing stack

AI Automation lives in our dedicated AI lab — see the AI-native products we've already shipped there.

Visit CognifixLabs

Frequently asked questions

What is included in AI Automation delivery?

AI Automation engagements include solution design, UI implementation, core development, QA, and deployment support tailored to your goals.

Which technologies do you use for AI Automation?

Our typical stack for this service includes LangChain / LangGraph, n8n, OpenAI / Claude Function Calling, Python, RAG Pipelines, Zapier / Make with architecture choices based on your scale, timelines, and integration needs.

How long does a AI Automation project take?

Timeline depends on scope, but most projects are planned in milestones from discovery to launch, followed by optimization and support.

Can you modernize an existing AI Automation product?

Yes. We can audit and improve existing systems through performance optimization, UX upgrades, feature expansion, and infrastructure hardening.