AGENTIC AI & AUTOMATION
AI Agents That Actually Get Work Done
Not just chatbots. Custom AI agents that plan, decide, and act — handling support, lead routing, and workflows across the tools you already use.
What Is Agentic AI? (In Simple Words)
Regular automation follows fixed steps you set up in advance. Agentic AI is different — it uses AI agents that can plan, decide, and act on a goal in real time, adapting to new information instead of just following a script. That means it can handle things like customer support, lead routing, and incident triage with far less hand-holding.
What We Build
Customer Support Agents
Handle customer questions automatically, grounded in your real docs and data. See it live in our airline support case study.
Lead Routing
Automatically qualify and route leads to the right person or process, no manual sorting required.
Incident Triage
Agents that assess incoming issues and prioritize or escalate them based on real context.
Workflow Orchestration
Connect agents across your existing tools for end-to-end automation, not just single tasks.
How We Keep Agents Accurate
AI agents that make things up are a real risk. We build every agent on Retrieval-Augmented Generation (RAG), which grounds each response in your actual documents and data instead of the model’s memory alone. Read our deeper guide on how RAG helps prevent LLM hallucinations.
Tools & Platforms We Work With
We work across 250+ verified AI tools in 30+ categories, including OpenAI, Anthropic Claude, Google Gemini, Hugging Face, n8n, Langflow, Pinecone, and MongoDB. If a tool has an API, we can very likely connect it into your workflow.
Fits Your Existing Stack
Agents plug into what you already use — WordPress, CRMs, Google Sheets, Telegram, PostgreSQL, and more. Our Novamira connector brings AI directly into WordPress workflows.
No In-House Developers Needed
Agents are visually orchestrated and easy to manage. Our team handles setup, integrations, and ongoing support after launch.
Timeline & Data Safety
Most single-workflow agents (like automating customer queries, similar to our n8n automation build) can be scoped, built, and tested within a few weeks. Every agent includes safety guardrails, structured data handling, and human review checkpoints, so sensitive actions stay in your control.
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Real Example
See a RAG-based automation workflow built with n8n for handling customer queries automatically in our case studies.
Frequently Asked Questions
What is Agentic AI, and how is it different from regular automation?
Agentic AI uses autonomous AI agents that plan, decide, and act on goals in real time, rather than following fixed steps like traditional automation (RPA).
How do you stop AI agents from giving wrong or made-up answers?
We build every agent on Retrieval-Augmented Generation (RAG), which grounds each response in your actual documents and data instead of relying on the model’s memory alone.
How long does it take to build and deploy an AI agent?
Most single-workflow agents can be scoped, built, and tested within a few weeks. Complexity and number of integrations affect the timeline, which is why we start with a free assessment.
Is our business data safe when using AI agents?
Yes. Every agent includes safety guardrails, structured data handling, and human review checkpoints, so sensitive actions stay within your control.
How much does it cost to get started?
Cost depends on the number of agents, integrations, and data sources involved. Book a free demo for a tailored quote. See more questions on our FAQ page.