What is an AI Worker?

An AI Worker is an autonomous AI agent that works like a real teammate: it has a personality, specialized skills and memory, runs tasks end to end and integrates with your tools (Slack, Teams, Gmail, Notion…).

How many AI Workers are available?

15 specialized AI Workers are available, covering marketing, development, design, data, human resources, finance and customer support.

Can I try it for free?

Yes, a free trial is included with no commitment. You can add or remove AI Workers at any time and cancel whenever you want.

Yes. Your data is encrypted end to end, hosted in isolated environments, and never used to train models. Workers Delos is GDPR-compliant and SOC 2-certified.

Voix du Client par IA : Transformer les Retours Omnicanaux en Actions Produit en Temps Réel

Par Delos Intelligence — 2026-08-15

Découvrez comment les équipes produit et CX utilisent des workers IA pour agréger les retours non structurés et transformer des millions de points de données en feuilles de route produit prioritaires.

The Voice of Customer Paradox

Modern enterprises collect overwhelming volumes of customer feedback. Across App Store reviews, Trustpilot ratings, support conversations, NPS open text fields, sales call transcripts, and social media mentions, customer sentiment data pours in continuously.

Yet 70% of product leaders report lacking actionable, real-time insights into customer pain points. Unstructured customer feedback remains trapped in disparate functional silos, requiring manual tagging and subjective synthesis that lags weeks behind actual user sentiment.

!AI-Powered Customer Feedback Synthesis Flow

How AI Agents Power Continuous VoC Intelligence

AI workers revolutionize Voice of the Customer (VoC) analysis by transforming chaotic unstructured text streams into clear, quantifiable product signals.

1. Omnichannel Multi-Source Ingestion

AI agents connect seamlessly to Gong/Chorus call recordings, Zendesk/Intercom support tickets, survey tools (Typeform, Qualtrics), and review portals, ingesting millions of customer interactions in real time.

2. Aspect-Based Sentiment Analysis and Semantic Clustering

Rather than calculating a blunt positive/negative sentiment score, AI agents perform aspect-based extraction. They identify granular sentiment tied specifically to UI responsiveness, pricing tiers, onboarding friction, or specific feature requests, clustering recurring feedback themes dynamically.

3. Revenue-Weighted Impact Scoring

AI workers cross-reference customer feedback clusters with CRM contract values and churn risk metrics, calculating the exact ARR at risk for every product bug or requested enhancement.

4. Closed-Loop Product Backlog and Retention Triggers

When a critical issue spikes, the AI agent automatically synthesizes the incident, links relevant session replays and logs, creates structured tickets in Jira or Linear, and alerts Customer Success managers to engage at-risk accounts proactively.

!Feedback Triage and Analysis Time: Manual (weeks) vs AI (15 minutes)

Measurable Impact on Product and CX

15-Minute Insight Turnaround: From weeks of quarterly survey analysis to instant, continuous customer sentiment reporting.
35% Increase in Customer Retention: Proactive intervention on emerging friction points before churn occurs.
Data-Backed Product Prioritization: Product roadmaps aligned directly with revenue impact and high-frequency customer needs.
Cross-Functional Alignment: Engineering, Product, Sales, and Support teams operate from a single unified voice of customer reality.

Build Autonomous CX Intelligence

Delos AI Workers empower enterprise organizations to listen, analyze, and act on customer feedback at scale, ensuring data privacy and enterprise governance across every feedback channel.

This article was written with AI assistance.