6 pillars connected to 14 Centriu systems. Original frameworks and in-depth analyses — no fluff, no clichés.
24 articles published
The most recent posts from Centriu Editorial.
Post-quantum cryptography is no longer an exclusively experimental topic. Organizations need to identify where RSA, ECC, certificates, keys, and cryptographic libraries support critical processes. This article proposes a method for building a risk-oriented cryptographic inventory, defining migration waves, and requiring crypto-agility from vendors. The objective is to turn a long, technical transition into a governable program.
Data contracts and data observability are often treated as alternatives. They are not. Contracts define what a source must deliver; observability reveals what actually happened in production. This comparison details architecture, operations, metrics, and decision criteria for using both precisely in analytics and AI systems.
Responding quickly does not mean resolving the issue. In AI-enabled operations, first contact resolution is only valid when customers complete their request without repeating information, switching channels, or returning shortly afterward. This article presents a method for redefining FCR, instrumenting the journey, and preventing automation from inflating indicators while increasing customer effort.
SaaS renewal governance must go beyond tracking contract dates. This article introduces the FAROL Framework, a six-step method for deciding whether to renew, right-size, consolidate, renegotiate, or retire applications. The model connects actual usage, operational criticality, risk, architecture, and financial value. The result is a more defensible portfolio, with less waste and lower vendor exposure.
Continuous evaluation of AI agents turns quality into an operational practice rather than a one-time project review. The method combines case sets, outcome metrics, trajectory analysis, and calibrated human review. The focus should be on the real effect of the action taken, not just the apparent quality of the final response. This helps teams reduce regressions, constrain autonomy where risk exists, and learn from real failures.
Answer engine optimization, or AEO, has become an operational acquisition function. B2B buyers use AI tools to compare vendors, validate requirements, and create shortlists. This reduces the value of raw traffic as a standalone metric. The priority is to build verifiable evidence, citable pages, and a measurement routine that connects presence in responses to pipeline.
Each pillar is a complete strategic front. Explore the collection of articles by area.
Context memory in customer service is no longer a convenience feature. It determines whether AI reduces effort or simply speeds up disconnected responses. The challenge is to combine journey data, operational policies, and real-time signals without creating opaque profiles or carrying errors across channels. This article explains what has changed and how to structure a reliable context operation.
Post-quantum cryptography is no longer an exclusively experimental topic. Organizations need to identify where RSA, ECC, certificates, keys, and cryptographic libraries support critical processes. This article proposes a method for building a risk-oriented cryptographic inventory, defining migration waves, and requiring crypto-agility from vendors. The objective is to turn a long, technical transition into a governable program.
Data contracts and data observability are often treated as alternatives. They are not. Contracts define what a source must deliver; observability reveals what actually happened in production. This comparison details architecture, operations, metrics, and decision criteria for using both precisely in analytics and AI systems.
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