Quellix Insights

AI Field Notes for Real Business Workflows

Readable guides on building, evaluating, and shipping AI systems that survive real tools, approvals, risks, and handoffs.

Every article is written as an implementation note: what changes in the workflow, where human approval belongs, what can break, and which service path gives the buyer a realistic next step.

Claude Fable 5 evaluation ledger with test rows, deployment status, and performance charts.

2026-06-10

Claude Fable 5 for Enterprise AI Agents

Evaluate whether Claude Fable 5-style autonomy, visual reasoning, and tool use fit enterprise AI workflows.

Persistent AI agent session module connecting workflow steps across a durable execution path.

2026-06-10

Durable Session Layer for AI Agents

Design durable session layers that preserve AI chat state across retries, pauses, approvals, and handoffs.

Customer preference card feeding ranked recommendation columns in a personalization system.

2026-06-09

Personalization Engine for Ranked Recommendations

A personalization engine implementation path for turning B2B customer signals into governed rankings, offers, and next-best actions.

Lead-scoring system ranking sales signals across connected account and recommendation layers.

2026-06-08

Predictive Lead Scoring That Sales Teams Trust

Turn sales signals into lead scores and next-best actions your reps can inspect, challenge, and use.

Layered document data planes connected through routing, validation, observability, and decision checkpoints.

2026-06-07

AI Invoice Processing: From OCR to Review

Replace brittle OCR handoffs with invoice extraction, validation rules, exception queues, and approvals.

AI agent evaluation pipeline connecting reliability, risk, and ROI checkpoints.

2026-06-07

Evaluate AI Agents by ROI, Reliability, and Risk

Measure AI agent performance with business outcomes, failure modes, approval paths, and operating cost.

Layered sales agent architecture with a build decision diagram above connected system components.

2026-06-06

Reliable AI Sales Agents: A Build Decision Guide

Decide when AI sales agents should research, update CRM, draft follow-ups, or stop for human review.

Enterprise search architecture routing documents through separate RAG and fine-tuning paths.

2026-06-06

RAG vs Fine-Tuning for Enterprise AI Search

Choose RAG or fine-tuning by comparing permissions, source freshness, accuracy, cost, and update frequency.

Layered workflow checkpoints connected by thin blue execution paths.

2026-06-02

Durable Execution for AI Agents: When a Tool Times Out

When an AI agent times out after issuing a credit, safe recovery depends on approval checks and a receipt from the billing system.

Abstract AI governance workflow with approval checkpoints, review gates, and fallback paths.

2026-06-02

AI Workflow Governance with Approval Gates

Govern AI workflows with approval gates, fallback paths, and logs so risky actions stay reviewable before execution.

Transparent agent workflow architecture with blue checkpoints mapped across an observability blueprint.

2026-05-31

Step-Level Logging for Agentic AI Systems

Use step-level logs and traces to evaluate agentic AI behavior, catch failures, and prove what happened.

Abstract fraud decision workflow with risk cards, approval paths, and evidence panels.

2026-05-08

Decision-First AI Fraud Scoring

Modernize fraud scoring with reviewable predictions, risk queues, and controls that reduce customer friction.