The Hidden Cost of Unsanctioned AI: How to Avoid AI-Assisted Process Debt

We are living in an era of massive technological transition. But as organizations rush to integrate artificial intelligence into their workflows, many are falling into a dangerous trap: unsanctioned AI use and the resulting process debt. Instead of eliminating waste in knowledge work, haphazard AI adoption often multiplies it.

To move away from rigid, industrial-age operating models, companies need to build AI-native systems that prioritize human connection and smooth value flow. HubSpot expert Chris Carolan, co-author of Surviving the SaaSpocalypse and creator of the AI Native Shift Framework, advocates for a complete rethinking of how we integrate AI into our business processes.

Here is how you can avoid AI-assisted process debt and build a system that actually works for your human team and your buyers.

1. Stop Getting in the Way of Value Flow

In traditional business models—what Chris refers to as "industrial-age models"—companies operate with a mindset of scarcity. We lock our expertise behind forms. We make prospects jump through hoops, wait for marketing to qualify them, and sit through discovery calls with sales reps before they ever get to talk to the actual subject-matter expert or engineer.

The AI-native perspective is completely different: Do not get in the way of value flow.

If your buyer has a pain point and your company has the expert who can solve it, your internal processes shouldn’t act as a dam blocking that connection. Instead of relying on a convoluted marketing funnel, you can bypass the friction entirely. For example, simply recording a 15-minute video of an application scientist using their equipment—without fancy lighting or high production value—can directly answer buyer questions and result in closed deals just days later. Raw expertise always wins.

2. Time to Retire the Word "Lead"

One of the most profound shifts required for an AI-native business is changing the language used in CRMs. Since the early 2000s, businesses have inherently dehumanized their buyers by turning them into data points. Words like Lead, MQL (Marketing Qualified Lead), and SQL (Sales Qualified Lead) create artificial silos between marketing and sales.

When Chris asked Claude (an AI) how to fix this disconnect, the logic was simple: change the language. Instead of industrial acronyms, organizations should adopt a four-stage, human-centric framework:

• Audience: People who fit your ideal profile and might have the problem you solve.

• Researcher: People actively engaging with your content.

• Hand-Raiser: Someone explicitly saying, "I need help right now."

• Buyer: The person (and their internal buying committee) who is ready to transact.

These definitions don't require a boardroom explanation. They are intuitive, universally understood, and force the organization to focus on where the buyer actually is in their journey.

3. The Power of the Unified Customer View

Most companies suffer from massive process debt because they don’t have a single, unified view of their customer. The accounting system calls the company one name, the CRM calls it another, and the sales rep puts a completely different name on the final quote just to get the deal closed.

A unified customer view breaks down these silos. If a prospect asks a highly technical question on LinkedIn, marketing shouldn't just log it as a generic "social engagement." With a unified view and proper internal orchestration, marketing can instantly route that signal to the relevant engineer or salesperson to answer the question in the moment. It brings the dynamic of an in-person trade show booth directly into the digital realm.

4. Human + AI: The Orchestrator Model

There is an ongoing debate about whether companies should be "Human First," "AI First," or "AI Only." These extreme positions miss the mark.

AI is infrastructure—it is like electricity. Aiming for 100% AI autonomy is a recipe for disaster because the "last mile" of any process requires context, nuance, and human empathy.

The future belongs to the AI Orchestrator: a human who intimately understands the business process and uses AI to automate 95% of the heavy lifting. The true value of human workers is shifting away from repetitive tasks and toward managing exceptions, designing AI guardrails, and fostering genuine human relationships.

Finding Your "One Peace Flow"

In knowledge work, the ultimate goal is to eliminate process debt by finding your One Peace Flow. Inspired by Toyota’s revolutionary "one piece flow" in manufacturing, this concept is about peacefully pulling your work through the system to maintain our humanness in a chaotic digital world.

As Chris Carolan recently shared as a guest on Episode 98 of the Process Debt Podcast:

"You have to understand the value at any given point in the process. If you’ve been assigning value strictly to time, effort, or dollars, you're going to have a tough time right now. You have to sit down as a business and define what value looks like. In 99.9% of businesses, that value is the relationship with the human. Figure out when that relationship actually starts, and start designing your processes from that point."

Want to hear more? You can find Chris Carolan posting daily insights on LinkedIn at Chris-Carolan or visit his website at valuefirstteam.com. For the full conversation, listen to Episode 98 of the Process Debt Podcast on your favorite streaming platform!