AI-Native Engineering
Initializing AI stack…
We connect your entire technology stack using n8n, Make, and Zapier — then layer AI intelligence on top, so your team focuses on strategy while automation handles operations.
Every engagement comes with these capabilities tailored to your requirements.
Self-hosted n8n deployed on your AWS or on-premise infrastructure — giving you complete data control, 400+ pre-built integrations, custom JavaScript/Python code nodes, and unlimited workflow executions at a fixed infrastructure cost.
Software robots that automate repetitive, rules-based tasks in legacy desktop and web applications — browser automation with Playwright/Puppeteer and enterprise RPA platforms for processes that lack APIs.
Intelligent decision automation engines that embed LLMs and ML models into business workflows — classifying inbound requests, routing work intelligently, scoring risk, and generating structured outputs with human-in-the-loop oversight for low-confidence decisions.
Professional configuration of Zapier and Make (Integromat) automation platforms — from simple two-step Zaps to complex multi-branch Make scenarios with routers, aggregators, and AI steps connecting 6,000+ business apps.
Structured process discovery workshops, swimlane documentation, ROI modelling, and automation opportunity prioritisation — giving you a clear, stakeholder-aligned roadmap before a single line of automation code is written.
Deep domain expertise across regulated and high-growth sectors in the GCC and globally.
A proven engagement process with complete visibility at every stage.
Structured interviews and process mapping sessions to identify the top 10 automation candidates ranked by time saved × error rate × strategic value.
Quantified business case for each automation: hours saved per week, error reduction percentage, and projected 12-month ROI — signed off by stakeholders before build.
n8n or equivalent platform deployment, secure credential management, webhook endpoint configuration, and integration authentication setup.
Build and test automations in a staging environment — starting with highest-ROI flows, iterating with business stakeholders until outputs match requirements exactly.
Comprehensive test suite covering happy paths, error states, API timeouts, data validation failures, and volume spike scenarios.
Production deployment with real-time monitoring, Slack/email alerts for failures, daily execution reports, and a 30-day hyper-care period.
Answers to the questions our clients ask most before engaging.
Real outcomes from real engagements.
IoT sensor data pipeline and ML-powered predictive maintenance system predicting equipment failures 48 hours in advance — reducing unplanned downtime by 35% for an energy infrastructure operator.
AI-powered citizen knowledge base with Arabic-English RAG pipeline serving 2M+ monthly queries for a GCC government ministry — deflecting 78% of call centre volume while maintaining 99.2% response accuracy.
Real-time shipment intelligence platform processing 500K daily tracking events with ML-powered exception prediction — cutting delivery exceptions by 40% for a regional logistics operator.
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