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Advice and examples on how to adopt AI in your company, automate workflows and reduce repetitive tasks with AI agents.
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Creditinfo and Itronauts: bringing business data to ChatGPT, Codex and Claude
Creditinfo Estonia and Itronauts have jointly developed a service that lets Creditinfo customers ask questions about companies in ChatGPT, Codex and Claude, using everyday language.
Itronauts Gains Access to OpenAI Daybreak: What This Rare Access Really Means
As an OpenAI partner, Itronauts has gained access to OpenAI Daybreak — a capability that requires separate approval, designed for authorized defensive cybersecurity work.
The Fable Block Shows Why Enterprise AI Must Not Become Hostage to a Single Model
The unexpected blocking of Anthropic's Fable 5 model is a useful reminder for every business embedding AI into real business processes.
MCP and AI Agent Tools: Why Standardized Connections Matter Also for Non-Technical Leaders
An AI agent is not just a smart chatbot. It is a digital worker that needs the right tools, boundaries and responsibility model.
The EU AI Act and Bringing AI Adoption Under Control: Five Questions Before August 2026
From a management perspective, the question is no longer whether a company should use AI, but whether its use is controlled, secure and supported by a clear business case.
An AI roadmap in 90 days: how leadership selects three use cases with real impact
A practical 90-day roadmap helps leadership move from AI demos to measurable process change by choosing three use cases with clear owners, data, and business impact.
Start with incoming workflows: invoices, requests, approvals, and manual work with data
The strongest place to start automation is often the inbox: invoices, requests, approvals, attachments, and data that people still move by hand.
Where to find funding for AI and automation in Estonia in 2026
Which AI grants are available in Estonia in 2026? We compare EIS funding for AI, automation and product development with relevant EU options.
The AI control package for 2026: five things that must be in place before broader AI use
A practical governance checklist for leaders: AI inventory, data classes, human approvals, logging, vendor controls, and security basics before scaling.
How to choose an agentic AI platform without investing in the wrong layer
A practical comparison of n8n, Make, and Microsoft Power Automate by hosting, RPA needs, governance, and cost model.
When to use an AI agent and when to use a regular workflow
A practical leadership rule of thumb for choosing between classic workflows and AI agents, with controls, guardrails, and human review built in.
The big signal of spring 2026: AI is moving from model comparison to the race for agent platforms
The next enterprise AI race is less about smarter answers and more about secure agent runtime, memory, tools, observability, and governance.
How an internal HR bot at XIBIX cut repetitive questions in half
A concrete XIBIX use case: an n8n-powered Ask HR bot made internal knowledge easier to find and reduced repetitive HR questions by more than half.