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.

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.

2026-06-10

Durable Session Layer for AI Agents

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

2026-06-10

Why Step-Level Logging Matters for AI Agents

Use step-level logs and OpenTelemetry to find AI agent failures before they reach customers or teams.

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.

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.

2026-06-07

AI Invoice Processing: From OCR to Review

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

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.

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.

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.

2026-06-02

Durable Execution for Reliable AI Agent Workflows

Use durable execution to keep AI agents safe across retries, approval waits, timeouts, and long-running tool workflows.

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.

2026-06-02

Permission-Aware RAG for Regulated Search

Design permission-aware RAG that filters retrieval by user access, cites evidence, and blocks restricted documents.