Halmob: End-to-End AI Automation, n8n Workflow Orchestration and OpenClaw Multi-Agent Consultancy
Halmob is an AI automation and software engineering studio operating out of Kastamonu Teknokent in Turkey, serving clients in Europe, the United States and the MENA region. We help companies replace repetitive manual work with resilient AI-powered workflows built on n8n, large language models (ChatGPT, Claude, Gemini, Perplexity), and multi-agent orchestration patterns — including tailored OpenClaw rollouts for law firms, accounting teams, insurance, real estate, financial advisors and recruiting operations.
What is AI automation in 2026?
AI automation is the practice of combining traditional workflow automation (triggers, actions, integrations, queues) with modern AI capabilities such as large language models, retrieval-augmented generation (RAG), vector search, vision models and autonomous agents. Instead of writing brittle if/else rules, you build pipelines that understand context, extract structured data from unstructured input, make probabilistic decisions, and call out to humans when confidence is low. Halmob designs these pipelines end to end, from event ingestion to observability.
Why we choose n8n as the orchestration backbone
n8n is our default orchestration layer because it is open source, self-hostable, extensible with custom nodes, and integrates natively with OpenAI, Anthropic, Google Vertex AI, Perplexity, Pinecone, Supabase, Postgres, Google Workspace, Microsoft 365, Slack, HubSpot, Salesforce, Stripe, Shopify, WhatsApp Business and hundreds of other systems. We use n8n to schedule jobs, fan out to parallel sub-workflows, call LLMs, persist memory, handle retries and alert on failure — all with full version control, unit tests and staging environments.
Multi-agent orchestration and MCP
Modern AI problems rarely fit in a single prompt. We architect multi-agent systems where a planner agent decomposes a goal, specialist agents (retriever, coder, analyst, reviewer) execute sub-tasks, and a supervisor agent evaluates results. We rely on the Model Context Protocol (MCP) to expose tools and data sources in a standardized way across Claude, ChatGPT, Cursor and internal agents. This lets us swap models, add evaluation layers and enforce guardrails without rewriting the pipeline.
OpenClaw: the consultancy layer
OpenClaw is a multi-agent operations platform designed for high-trust professional services. Halmob's OpenClaw consultancy maps your existing workflow, configures industry-specific agents (matter intake, document review, claims triage, candidate screening, advisor onboarding), defines permissions and escalation paths, and rolls out the platform in a pilot-first manner. We measure adoption, hours saved and error reduction so the rollout has a verifiable ROI.
Mobile apps and AI integration
Beyond backend automation we ship production mobile apps for iOS and Android using Swift, Kotlin, Flutter and React Native. We integrate on-device and cloud AI models: image recognition, OCR, voice interfaces, personalized recommendations, and AI-generated content (see our AI Bouquet app). Where it makes sense, mobile apps are wired directly into the same n8n and OpenClaw backends so the entire customer journey is automated.
Security, observability and operations
Every workflow we ship includes structured logging, metrics, alerting and a clear runbook. For AI components we add prompt versioning, evaluation datasets, cost tracking and rate-limit handling. We self-host n8n and vector databases when data residency matters, and we are comfortable working within GDPR, KVKK and HIPAA-aware constraints. This is what separates a demo from an automation you can actually depend on in production.
If your team is exploring AI automation, n8n workflow orchestration, multi-agent systems, MCP integrations or OpenClaw rollouts, we are happy to have a short, no-pressure discovery conversation. We will tell you honestly whether automation is the right answer, what it will cost, and how long it will take.