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.
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.
Chatbot flows, intent maps, dialog scripts, and escalation paths. ICX builds AI that resolves issues on the first try.
Learn moreSystem prompts, guardrails, and tests that keep AI accurate, on-brand, and safe before it reaches customers.
Learn moreWhat to automate, what to measure, and what to ship next. ICX ties the plan to the metrics your leaders already track.
Learn moreICX uses a four-step engagement model: Discover, Design, Build, and Measure. The model ships production AI in weeks, not quarters.
ICX runs a 2-4 week sprint. The sprint audits the current customer experience and produces a roadmap.
ICX writes the conversation flows, intent maps, prompts, and guardrails. Written, not slide-decked.
ICX works with your engineers on your platform (Dialogflow, Azure, AWS, or custom LLM).
ICX sets baseline metrics, builds eval sets, and runs a review cadence. The AI keeps improving after launch.
Two anonymized case studies from real enterprise engagements show what ICX work produces in production.
A global tech company needed consistent support across 8 markets. ICX built the multi-language intent architecture, escalation paths, and production prompts.
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.
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
ICX publishes original research on prompt engineering, conversation design, AI governance, and agentic AI.
On May 19, 2026, KPMG and Anthropic announced a global alliance that puts Claude in front of all 276,000+ KPMG employees and embeds it in client work across tax, legal, and private equity. The headline is the scale. The real lesson is what KPMG paired it with: research on the human judgment that turns AI access into actual value.
Project Glasswing is a new Anthropic-led effort, with partners like Amazon, Google, Microsoft, and JPMorganChase, to secure critical software using Claude Mythos Preview, a model that finds software flaws better than almost any human. Most coverage will focus on the hacking. This opinion piece reads it through a conversation designer's eyes: the names, the framing, and what it means for any business whose AI talks to customers.
Enterprise teams are moving past individual prompts toward prompt systems: versioned, tested libraries of prompts treated as production infrastructure. In 2026, 45 percent of organizations plan to scale generative AI to production. The top blockers are guardrails (76 percent) and data readiness (62 percent). Prompt systems address both. Prompt engineering by itself does not scale. Prompt systems do.
Start with a free 30-minute discovery call. ICX audits your current CX stack and maps a roadmap on the call.