Blog

AI agents, RAG, and integrations — notes from production.

How an AI Support Agent Stays Grounded in Your Help Center and Policies

Grounding an AI support agent: a relevance floor on retrieval, policy kept consistent with live order data, and why content quality decides the answer.

How AI Support Agents Handle Customer Data: PII in Prompts, Logs, and Transcripts

AI support agent data privacy: where PII flows - the prompt, retrieval index, tool calls, transcripts, logs - and how to minimize, retain, and delete it.

How to Measure ROI on a Voice AI Agent for a Call Center

Voice AI ROI for a call center: calls genuinely resolved, wait-time value, headcount redeployed, and after-hours capture - against a per-minute run cost.

Build vs Buy: Off-the-Shelf Voice Bots vs a Custom Voice AI Agent

Build vs buy for voice AI is three options: a packaged voice-bot platform, a from-scratch build, or a custom agent on managed speech and telephony components.

5 Mistakes That Make a Voice AI Agent Frustrating to Talk To

The voice AI agent mistakes that make callers hang up: broken turn-taking latency, no barge-in, dead air on lookups, cold transfers, and no clear escalation.

A Compliance Checklist for Voice AI: Consent, Disclosure, and Recording

A voice AI compliance checklist: call recording consent, AI disclosure, the human decision boundary, retention, identity, and scripted regulated language.

Why Fraud Models Decay, and How to Catch It Before It Costs You

Fraud model drift monitoring: fraud decays faster than most ML because an adversary optimizes against it. What to watch, in order of how early it warns you.

How a Low-Latency Voice AI Assistant Is Architected

Voice AI assistant architecture is a latency problem: native vs cascaded speech pipeline, barge-in, mid-turn tool calls, and state that survives the handoff.

How an Online Feature Store Works for Real-Time Fraud Scoring

A feature store for fraud detection serves velocity and behavioral features in milliseconds and makes training and serving compute them identically.

What Does It Cost to Build a Custom Fraud Scoring System?

Custom fraud detection cost has three parts: a one-time build dominated by the feature pipeline, a per-transaction run cost, and the ops nobody budgets for.