LinkedIn
We were burning through tokens to give our AI agent context.
Title: We were burning through tokens to give our AI agent context.
Read on LinkedInRecent Articles
Compliance
Most compliance problems are design problems
Most teams treat compliance as something you deal with at the end. In reality, most problems are created much earlier in system design, data handling, and everyday engineering decisions. If your system cannot explain what happens to data, you don’t have a legal problem. You have a design problem.
Engineering
Claude Code source map leak: What exactly happened!
Claude Code source map leak: what Anthropic exposed and how to prevent npm source map leaks
Engineering
What Claude Code’s Architecture Teaches Us About Building Production AI Agents
Building AI that can actually operate inside enterprise workflows requires more than model access. It requires orchestration, controls, and observability.
Engineering
Telnyx PyPI Package Compromised: Another supply chain attack you didn't see coming
Telnyx PyPI Package Compromised: Another supply chain attack you didn't see coming. TeamPCP attacks again.
Engineering
Operating agentic workflows - the part no one shows you
Human-in-the-loop governance, observability as distributed systems, measuring outcomes not activity
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.
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.
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.
Technology
Beyond Chatbots: Why Most AI Assistants Fail
A short note on the difference between conversational AI and operational AI.
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.
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.
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.
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.
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.
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?
Read on LinkedInLinkedIn
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 LinkedInLatest in Voice AI & Regulated Industries
External updates relevant to enterprise voice AI, customer operations, and compliance-led deployment.
digital-magazin.de
EU AI Act: Was der KI-Regulierungsrahmen für Verbraucher bedeutet
EU AI Act kompakt: Was verboten ist, welche KI-Systeme strenge Auflagen haben und welche Rechte Verbraucher ab 2026 bekommen.
Read full newsCash.
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.
Read full newsForbes
Understanding Why Contact Center AI Projects Fail
After sixteen years building integration infrastructure for contact centers, I've watched enterprises make the same expensive ...
Read full newsRelated Resources
Explore comparisons and industry pages connected to these blog topics.
Compare AI voice platforms
Review side-by-side enterprise comparisons before choosing a stack.
Elba vs Bland AI
Understand differences in compliance, rollout, and workflow execution.
Elba vs Retell AI
See where voice-first tooling differs from regulated workflow operations.
AI workflows for healthcare
How operational AI supports patient coordination and service continuity.
AI workflows for insurance
How insurers reduce claim friction and improve execution reliability.
AI workflows for financial services
Explore regulated operations use cases for banking and finance teams.