Recent Articles

Operating agentic workflows - the part no one shows you
Engineering

Operating agentic workflows - the part no one shows you

Human-in-the-loop governance, observability as distributed systems, measuring outcomes not activity

Our Security and Compliance Foundation
Compliance

Our Security and Compliance Foundation

Security is not defined by the number of frameworks listed, but by how they are implemented in practice. This is the foundation behind how we approach compliance at Kolsetu. Within this post I explain the foundation and their interaction.

Multilingual Customer Engagement in AI Systems
Technology

Multilingual Customer Engagement in AI Systems

Customers stay longer when companies serve them in their own language. But dialects and accents still challenge modern AI, making multilingual customer engagement a systems design problem, not just a translation one.

Designing Systems That Survive Us
Compliance

Designing Systems That Survive Us

Personal loss can have unexpected parallels with how organizations function. This short reflection explores what mortality, institutional memory, and operational resilience have in common - and why systems should always be designed to survive us.

Beyond Chatbots: Why Most AI Assistants Fail
Technology

Beyond Chatbots: Why Most AI Assistants Fail

A short note on the difference between conversational AI and operational AI.

Operational AI in Regulated Environments
Compliance

Operational AI in Regulated Environments

AI is increasingly used in operational systems, but regulated industries require it to be transparent, auditable, and compliant. The article explains why governance must be built into AI platforms from the start to safely support real operational workflows.

AI Systems Should Not Learn From You
Compliance

AI Systems Should Not Learn From You

AI systems don’t just raise questions about where data is stored, but how it influences behaviour. This article explains why architectural boundaries matter - and how we ensure data stays contained, predictable, and under control.

From Prototype to Production
Technology

From Prototype to Production

AI demos and prototypes can make the technology look ready for deployment. The real challenge begins when systems move into production environments, where integrations, workflows, and governance determine whether the technology actually survives.

AI as an Operational System
Technology

AI as an Operational System

Early AI deployments produced impressive demos, but many hit a wall when faced with real-world operations. The reason? A conversational layer cannot replace an execution layer. In this deep dive, we examine why the future of enterprise technology lies in Systems of Execution.

Workflows Are the Real Battleground for AI
Technology

Workflows Are the Real Battleground for AI

The first wave of AI improved how organizations handle information. The next wave will reshape how work itself moves through enterprise workflows.

Latest from LinkedIn

Fresh updates from our social channel. Open each post for full context and discussion.

We were burning through tokens to give our AI agent context.
LinkedIn

We were burning through tokens to give our AI agent context.

Title: We were burning through tokens to give our AI agent context.

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When we started building Elba 1.5 years ago, the first decision was the hardest: what do you build a real-time voice AI on?
LinkedIn

When we started building Elba 1.5 years ago, the first decision was the hardest: what do you build a real-time voice AI on?

Title: When we started building Elba 1.5 years ago, the first decision was the hardest: what do you build a real-time voice AI on?

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My team at Elba is free to use any coding agent and tool ( Copilot/Codex/Claude Code/Cursor, etc.).
LinkedIn

My team at Elba is free to use any coding agent and tool ( Copilot/Codex/Claude Code/Cursor, etc.).

Title: My team at Elba is free to use any coding agent and tool Copilot/Codex/Claude Code/Cursor, etc. .

Read on LinkedIn

Latest in Voice AI & Regulated Industries

External updates relevant to enterprise voice AI, customer operations, and compliance-led deployment.

EU AI Act: Nicht jede KI-Anwendung ist für Banken ein Hochrisikofall
Cash.

EU AI Act: Nicht jede KI-Anwendung ist für Banken ein Hochrisikofall

Der EU AI Act, der im August in Kraft tritt, eröffnet Banken Spielraum für viele KI-Anwendungen bei überschaubarem Aufwand.

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Forbes

Understanding Why Contact Center AI Projects Fail

After sixteen years building integration infrastructure for contact centers, I've watched enterprises make the same expensive ...

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No Jitter

Agentic AI meets data debt first in contact centers

Contact centers are becoming the first operational proving ground for agentic AI—and the first place where enterprise data debt ...

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