Agent.nl

Blog

Inzichten over AI en e-commerce automatisering

  1. Voice AISTTLLM

    The Anatomy of a Modern AI-Powered IVR

    AI-powered IVR is a modular stack—STT, LLM, TTS, and orchestration—delivering real-time, humanlike conversations and scalable automation. Choose streaming, all-in-one API, or cascading pipelines. By 2026, ~80% of inbound calls could be automated.

    Lees meer →
  2. Agentic AIERPautomation

    From Email to ERP: What an Agentic AI Workflow Can Actually Do

    Agentic AI turns ERP from a passive record into a proactive action engine, linking inbox data to core processes and bridging apps via orchestration and human oversight. Epicor adds 200+ AI use cases with Grow AI, targeting 90-day cloud ERP go-lives.

    Lees meer →
  3. RAGdocumentsenterprise AI

    Why RAG Makes AI Useful for Businesses With Lots of Documents

    RAG (Retrieval-Augmented Generation) grounds AI in current, approved sources—policies, manuals, contracts—reducing hallucinations in legal/finance. It powers knowledge workers, support copilots, and CRM insights with governance. Which use case would you start with?

    Lees meer →
  4. Voice AIcall transfercontext

    AI Voice Agents That Transfer Calls With Full Context

    AI in customer service improves when context is preserved across transfers. Batteries Plus uses AI across 700+ stores to resolve 22k calls with warm handoffs carrying transcripts. Zoom enables context-sharing via API with CRM. Start with context to speed resolution and satisfaction. #AI #CX

    Lees meer →
  5. Document AIRAGemail automation

    Email Agents That Understand Attachments and Customer Context

    Real AI email wins come from agents that handle replies and ground answers in private docs, not just drafting messages. Aurora EngageLab Email scales inbound replies/CRM signals across Gmail/Outlook; n8n shows AI acting with external tools. Value today: close the post-send loop and surface internal data. Priority: reply handling or Document AI/RAG integration? #AI #EmailAutomation #RAG

    Lees meer →
  6. RAGsemantic searchknowledge base

    Let Customers Search Your Entire Knowledge Base Through Chat

    Static search is dead. Scale CX with chat-first, RAG-grounded access to your knowledge across Slack, Drive, Jira, Confluence & CRM. Semantic, source-grounded SaaS from GoSearch, Voiceflow, Elastic, Algolia, Moveworks. Which pilot will you run? #AI #RAG #SaaS #SMBs

    Lees meer →
  7. Voice AIschedulingfield service

    Voice AI for Service Companies: From Call to Scheduled Job

    Voice AI maakt service end-to-end: 24/7 bellen en leads kwalificeren, afspraken plannen, klanten via meerdere kanalen bedienen — in één systeem. Integraties met ServiceTitan, HubSpot. Voor kleine aannemers: Jobber AI Receptionist. Welke combinatie past bij jouw team? #VoiceAI

    Lees meer →
  8. Human escalationAI agentsworkflows

    What Happens When an AI Agent Gets an Email It Cannot Solve?

    AI support must be human-in-the-loop. If confidence is low, pause, assess, and escalate with context: history, a draft, and a concise rationale for a human to finish. Learn from stalled cases to improve KBs, prompts, and safety SLAs. #AI #HumanInTheLoop #Automation

    Lees meer →
  9. RAGproduct knowledgecustomer service

    Automatically Answer Product Questions From Your Documentation

    RAG lets AI answer from your docs with citations, turning static knowledge into dynamic product intelligence. It pulls passages from a vector store and generates on-brand replies with sources, while guardrails protect privacy, accuracy, and tone. It can reduce support load and boost CSAT. Your experience? #AI #RAG #CustomerSupport

    Lees meer →