AI CX Consulting · Dallas–Fort Worth

AI that your customers actually want to use.

Intelligent CX Consulting (ICX) is a Dallas–Fort Worth firm. ICX designs AI chatbots, voice agents, and agent systems for enterprise customer service teams. ICX-built systems have served 20 million users across 8 global markets.

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Built on platforms that power enterprise AI

Google Cloud
Azure AI
AWS Bedrock
Anthropic
Dialogflow CX
RAG Pipelines
What ICX builds

What does ICX build for CX teams?

ICX builds three things for mid-market and enterprise CX, support, digital, and product teams: conversation design, prompt engineering, and CX strategy. Each one ships to production on your stack.

Conversation design

Chatbot flows, intent maps, dialog scripts, and escalation paths. ICX builds AI that resolves issues on the first try.

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Prompt engineering

System prompts, guardrails, and tests that keep AI accurate, on-brand, and safe before it reaches customers.

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CX strategy

What to automate, what to measure, and what to ship next. ICX ties the plan to the metrics your leaders already track.

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$2M+
In AI-driven cost savings
20M+
Users served by AI globally
25%
Faster AI response times
40%
Customer satisfaction improvement
How ICX works

How does ICX deliver AI projects?

ICX uses a four-step engagement model: Discover, Design, Build, and Measure. The model ships production AI in weeks, not quarters.

01

Discover

ICX runs a 2-4 week sprint. The sprint audits the current customer experience and produces a roadmap.

02

Design

ICX writes the conversation flows, intent maps, prompts, and guardrails. Written, not slide-decked.

03

Build

ICX works with your engineers on your platform (Dialogflow, Azure, AWS, or custom LLM).

04

Measure

ICX sets baseline metrics, builds eval sets, and runs a review cadence. The AI keeps improving after launch.

Results

What results has ICX delivered?

Two anonymized case studies from real enterprise engagements show what ICX work produces in production.

Enterprise Tech

Multilingual Virtual Agent Serving 20M+ Users

A global tech company needed consistent support across 8 markets. ICX built the multi-language intent architecture, escalation paths, and production prompts.

$2M+
Cost Savings
25%
Faster Response
8
Global Markets
E-Commerce

AI Self-Service Transformation for Customer Support

A mid-market e-commerce team was drowning in tickets. ICX rebuilt the customer-facing AI end to end: new flows, guarded prompts, and a self-service strategy that pulled volume off live agents.

40%
CSAT Improvement
35%
Self-Service Adoption
60%
Ticket Reduction
ICX brings a rare combination of deep technical prompt engineering expertise and genuine empathy for the end user. The results speak for themselves.

Enterprise AI Engagement, Anonymized Client Feedback

Latest insights

What is ICX writing about?

ICX publishes original research on prompt engineering, conversation design, AI governance, and agentic AI.

Two people in a business meeting reviewing an AI strategy plan on a laptop, representing the convergence of model providers and consulting services in enterprise AI transformation
Industry Trends June 19, 2026 20 min read

When the Model Maker Becomes the Consultant: Anthropic's $1.5B Enterprise Move

Anthropic launched a $1.5B enterprise AI services firm with Blackstone, Hellman & Friedman, and Goldman Sachs in May 2026 to embed engineers inside companies and redesign workflows around Claude. For CX leaders, the move carries a specific message: the AI bottleneck has moved from model capability to deployment expertise. The new firm covers technical integration. It does not cover conversation design, content engineering, or experience measurement—the layers that determine whether an AI deployment improves customer experience or degrades it.
Enterprise data dashboard showing multiple analytics panels — representing the visibility gap between AI deployment velocity and governance infrastructure
AI Governance June 18, 2026 26 min read

The AI Control Gap: Why Enterprise Leaders Are Accountable for AI They Can't Control

Two-thirds of CIOs and CTOs are accountable for AI systems they don't fully control, per a June 2026 IBM study of 2,000 executives. Seventy percent say business teams deploy AI faster than IT can track. Organizations embedding control deploy 16 times more agents with 25 percent fewer incidents than those relying on manual governance. The AI Control Gap is structural and solvable — but only by treating governance as a deployment prerequisite, not a follow-on project.
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Ready to ship AI your customers actually want?

Start with a free 30-minute discovery call. ICX audits your current CX stack and maps a roadmap on the call.

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