Klei Aliaj
Founder & AI Engineer - Dialogo - Italy
AI Engineer with 6+ years shipping production LLM systems, AI operations platforms, and multi-model inference infrastructure across healthcare, government, insurance, and fintech. Building Dialogo - an AI operating layer for turning repeatable company workflows into auditable autonomous work.
Previously: AI Delivery Lead at Raiffeisen Bank, built Albania's first government AI agent for e-Albania, published Bleta-8B - a custom multilingual European LLM - and contributed AI features to Vodafone's Super Tobi assistant now deployed across multiple countries. Also creator of Tuner UI, an open-source LLM development platform. Currently pursuing an MSc in Data Science at Universita degli Studi di Milano.
Articles
Industrial AI Needs Governed Execution, Not Just Better Insights
Industrial systems can reveal an event. The harder task is coordinating the people, systems, and approvals that resolve it. Here is a practical model for cross-system industrial exception resolution.
The Model Is Only One Component of an Autonomous Agent
Across every model evaluated to date, Dialogo improved autonomous tool-use performance by 8–12 percentage points without fine-tuning or modifying the underlying model weights.
OpenClaw Is Going Viral. Enterprise Agentic Orchestration Has Been Real for 2 Years.
OpenClaw hit 250,000 GitHub stars in record time. Gartner calls it "insecure by default." 512 vulnerabilities at last audit. For teams who have been running autonomous agentic orchestration in enterprise production since 2024, none of this is surprising.
What is AI Agent Orchestration? A Complete Guide for Operations Teams (2026)
AI agent orchestration is the practice of coordinating multiple AI agents to complete multi-step operational tasks end-to-end: without human intervention at each step. Here is how it works, why it matters, and how teams are using it today.
AI Agents vs Automation Tools: Why Zapier Is Not Enough for Modern Operations
Zapier and Make are rule-based automation tools. AI agents reason, adapt, and complete multi-step tasks across your stack without manual workflow design. Here is what the difference means in practice.
How to Automate Lead Enrichment with AI Agents (Save 15+ Hours Per Week)
Manual lead enrichment costs sales teams 15+ hours per week on average. AI agents can handle the entire process: from data gathering to personalized outreach drafts: autonomously. Here is how to set it up.
Dialogo in Action: Watch AI Agents Complete Real Workflows Autonomously
See Dialogo orchestrate a complete multi-step workflow: from summarizing emails to scheduling meetings and creating presentations: without a single manual step. Two live demos with real tools.
Case Study: How I Automated My Entire LinkedIn Workflow and Saved 5+ Hours Per Week
I was spending 5+ hours per week on LinkedIn: drafting posts, analyzing engagement, finding leads, and writing outreach. Here is how I automated the entire workflow using Dialogo AI agents, and what the results looked like after 90 days.
The 7 Best Zapier Alternatives for AI-Powered Automation in 2026
Zapier is strong for rule-based triggers. Compare alternatives when your team needs multi-step reasoning, exception handling, workflow controls, or a different operating model.
How to Automate Customer Support With AI Agents (Without Losing the Human Touch)
AI agents can help route, triage, and prepare responses for repeatable support requests. Here is how to evaluate automation without losing human judgment or customer context.
What is Agentic AI? The Shift from Chatbots to Autonomous Operations
Agentic AI systems don't just answer questions: they plan, execute, and deliver work across multiple tools autonomously. Here is what the term actually means, how it differs from traditional AI, and why enterprise operations teams are paying attention.