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

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.

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.

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.

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

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 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.

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.

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.

The first wave of AI improved how organizations handle information. The next wave will reshape how work itself moves through enterprise workflows.
Fresh updates from our social channel. Open each post for full context and discussion.
Title: We were burning through tokens to give our AI agent context.
Read on LinkedInTitle: 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?
Read on LinkedInTitle: My team at Elba is free to use any coding agent and tool Copilot/Codex/Claude Code/Cursor, etc. .
Read on LinkedInExternal updates relevant to enterprise voice AI, customer operations, and compliance-led deployment.
Der EU AI Act, der im August in Kraft tritt, eröffnet Banken Spielraum für viele KI-Anwendungen bei überschaubarem Aufwand.
Read full newsAfter sixteen years building integration infrastructure for contact centers, I've watched enterprises make the same expensive ...
Read full newsContact centers are becoming the first operational proving ground for agentic AI—and the first place where enterprise data debt ...
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