Automation & AI
AI and workflow automation that takes the repetitive work off your team
Workflows built with n8n, Make, Zapier and Dify, or fully custom services with OpenAI, Gemini and Claude inside, connected to your CRM, ERP, Telegram and the tools you already use.
Most of the work in a business is the same work, again
Copying orders into a spreadsheet, answering the same customer question, formatting reports, posting the same content in five places, chasing invoices. Each takes minutes. Together they take a team.
We map those loops and replace them with workflows that run on their own: triggers from your tools, steps that transform and route the data, and AI models where judgment is needed, for summarizing, classifying, drafting and answering. Multi-stage flows we have built run past 450 nodes and handle thousands of runs a day.
Who it's for
A good fit when
- Your team spends hours a week moving data between tools by hand.
- You want a customer-facing assistant, a content engine or a Telegram bot that actually works with your data.
- You started with Zapier or Make and hit its limits in complexity, cost or reliability.
Deliverables
What we deliver
n8n, Make, Zapier and Dify workflows
Self-hosted n8n when you want control and no per-task fees; Make or Zapier when speed matters more. We choose with you.
AI agents and assistants
Assistants grounded in your documents with retrieval (RAG), support bots and content pipelines, with OpenAI, Gemini or Claude, and local models when data must stay in-house.
Telegram, WhatsApp and web bots
Bots for support, orders, notifications and internal operations, connected to your backend and your team's chat.
CRM, ERP and e-commerce integration
Two-way sync between shops, CRMs, accounting and messaging: orders, leads, invoices and stock where they belong.
Content and social automation
Pipelines that draft, review, schedule and publish blog posts, product descriptions and social content, with a human approval step where you want one.
Custom services when needed
When a visual tool is not enough, we write the service in Node.js or Python and keep the same triggers and integrations.
Process
How an automation project runs
- 01
Map the loop
We sit with the people doing the work, record each step, and find the triggers, decisions and exceptions.
- 02
Build the first flow
A working workflow on your real accounts within the first week, running on a small slice of the traffic.
- 03
Add AI where it earns its place
Models handle the steps that need judgment; plain logic handles the rest, so the flow stays predictable and cheap.
- 04
Monitor and extend
Error handling, retries, logs and alerts, then the next loop. Most clients keep adding flows for years.
FAQ
Questions we hear
n8n when you want to self-host, run high volumes without per-task pricing, or need custom code inside flows. Make for fast building with a large app library. Zapier for the simplest cases. We have shipped on all three and will recommend one for your case.
OpenAI, Google Gemini and Anthropic Claude for text and reasoning, plus image, video and music models such as Suno and Kling for content pipelines. When data cannot leave your servers, we deploy open models locally.
Yes. That is retrieval-augmented generation: your PDFs, help articles, product data or database are indexed, and the assistant answers from them with citations rather than from memory. See the custom RAG assistants case study.
Each flow ships with error handling, retries, dead-letter queues and alerts to your chat. We monitor runs and fix breakages when a connected app changes its API.
Self-hosted n8n runs on a small server for a fixed monthly cost. Make and Zapier bill per operation. AI models bill per token; we design flows to keep those calls minimal and cache what can be cached.
Which task should stop being manual first?
Tell us the loop. We will map it, estimate the build, and show the first working flow within a week.
