The Rules of Engagement

Good Morning, Leaders!

Today we’re taking you from the C-suite to the call center—and back again—to break down how AI is reshaping enterprise growth, rewriting the timeline for development, and raising urgent new questions about trust, autonomy, and control.

Let’s get into it.

When Growth Strategy Meets AI, and Everything Changes

“Where should we expand next?”
“What do our customers want?”
“How fast can we launch?”

These used to be boardroom questions. Now, they’re API calls.

In today’s enterprise environment, growth strategies are being rebuilt from the core outward. That includes how products are built, how markets are entered, and how companies are structured. AI is now dictating the timeline, and in some cases, the entire trajectory, of business expansion.

Here’s what’s shifting:

• AI is redefining the competitive timeline: Faster pilots, accelerated feedback loops, and real-time consumer modeling.

  • Product development is going from quarterly sprints to real-time iteration, powered by AI copilots and generative research tools.

• Strategy is shifting from static to adaptive: Leaders are relying on AI to simulate, test, and adjust growth bets in-flight.

  • Go-to-market (GTM) strategies are being redesigned for velocity, testing, and hyper-personalization at scale.

• Org structures are flattening: Cross-functional teams are being replaced with AI-powered work streams and decision layers.

  • Executive teams are aligning KPIs with AI integration milestones, not just revenue or market share.

The takeaway is this: you’re no longer selling AI adoption. You’re selling survival strategy.

What to Watch: The AI Agent Effect

AI capability is no longer doubling every 18 months—it’s leapfrogging expectations every 18 weeks.

In 2022, ChatGPT could handle a 30-second coding task. Today, AI agents can autonomously complete tasks that take human developers over an hour. That’s not linear growth—it’s exponential devaluation of task-based labor.

Why enterprises should care:

• AI agents are evolving into team members, not just tools.

• Your cost assumptions about labor, delivery timelines, and innovation cycles are now outdated.

• Vendor evaluations must consider capability velocity, not just current features.

Bottom line: If you think your org is agile, compare it to a self-improving bot and get back to us.

Latest in AI Strategy, Automation & Trust:
The stories your CTO hasn’t told your GC yet—but should.

1. WhatsApp’s AI is “optional”—unless you try to turn it off.
   Meta’s assistant is baked into WhatsApp’s UI and search, whether you opt in or not. It’s collecting usage data, sparking new privacy concerns. If your product roadmap includes embedded AI, don’t forget: dark patterns invite lawsuits.
   Full story →
   

2. Vodafone and ServiceNow team up to automate customer service.
   Think ticket resolution, proactive alerts, zero human escalation. This isn’t just about cutting costs—it’s about reengineering CX at scale. If your support stack still needs human triage, you’re already playing catch-up.
   Full release →
   

3. California’s bar exam was written (partly) by AI. Cue the outrage.
   The State Bar admitted it quietly used AI to draft some test questions. Transparency? Missing. Enterprise lesson? If you're using AI in high-stakes decisions, you need an audit trail—yesterday.
   Full story →

TL;DR:

1. Enterprise strategy is getting an AI overhaul—from boardroom goals to product roadmaps.

2. AI agents now perform complex tasks in minutes. Moore’s Law can’t even keep up.

3. WhatsApp’s not-so-optional AI tool is a case study in trust erosion.

4. Vodafone + ServiceNow show how to automate without alienating users.

5. California’s bar exam just went AI—and the public backlash is a warning.

Stay sharp,

Cat Valverde
Founder, Enterprise AI Solutions
Navigating Tomorrow’s Tech Landscape Together