d8n.ai expertise

Articles & research

Practical reading on AI, processes and enterprise governance.

AI transformation

How to Tell Whether Your AI Agent Actually Works

How to measure an AI agent before and after deployment: baselines, process metrics, DATM, and practical examples from Documentolog and Klarna.

Build in public

The Six Months When AI Agents Rewrote Our Company

Half-year results at Documentolog: eight AI agents inside real processes, every client moved to d8n.ai, and why our people became co-owners of the outcome.

AI transformation

I Want to Adopt AI: 7 Steps to a Measurable Result — and the «Records» AI Agent in Practice

Why 95% of AI pilots deliver no impact, the seven steps to a real result, and a hands-on breakdown of our «Records» AI agent with the metrics to track.

Build in public

How We Lost 14 Leads — and What We Rebuilt After

How Documentolog rebuilt Lead Engine after an AI outage hid 14 new leads—and why AI must accelerate critical processes, not hold them up.

digital signature

Legal validity of electronic signatures in Kazakhstan: what to know

An electronically signed document is equivalent to a paper one with a handwritten signature. Signature types, verification and cross-border exchange explained.

HR document management

Electronic HR document management: how to start the transition

A practical order for moving HR to electronic documents — from frequent paperwork and e-signatures to integration with the state employment system.

EDM

What electronic document management really is — and why it’s the foundation for AI

EDM is formalized correspondence with preserved history. That foundation is exactly what AI agents need to work accurately instead of guessing.

ai-transformation

Why chatbots don't transform companies

A chatbot answers questions. Real transformation happens when an agent works inside the process — with permissions, approvals and audit.

AI transformation

How to choose the first AI process

The best first AI pilot has volume, a clear owner, visible pain and enough governance to show why AI must be inside the process.

governance

What enterprise AI governance must prove

For regulated companies, AI value depends on permissions, source traceability, human approval and audit — as much as on model capability.