I’ve noticed that AI adoption has been declining over the last couple of years.

The decline isn’t a failure of the technology.

It’s a correction back to how successful business is really conducted.

It’s a return to sensible people making sensible business decisions after two years of the “shiny new toy syndrome” (SNTS) nonsense.

Look at the stats

19/20AI projects since 2022 have delivered nothing. Zilch.

The best AI models hallucinate 10-12% of the time. It’s simply how large language models work. That means:

1 in 10 customer service responsescould be completely wrong
1 in 10 financial calculationscould be made up
1 in 10 legal clausescould potentially be invalid
1 in 10 medical diagnosescould be incorrect

Are you willing to accept these error rates?

AI doesn’t simply plug into existing IT systems

Yurix Ventures is a US-based AI Integration services company. Their recent research found that 73% of companies underestimated the complexity of AI integration. They found that AI doesn’t simply plug into existing IT systems. It requires fundamental process redesign.

Compare the two systems below:

Define inputs and outputs
Build connectors
Test and deploy

3 steps

The complexity multiplies exponentially with scale.

A new trend is emerging: Human-AI Orchestration

The good news is that while large companies have retreated from pure AI plays, a new trend is emerging from what they’ve learned.

Upwork is a U.S.-based freelancing platform. The company’s latest data shows that the Human-AI Orchestration phenomenon is surging demand for hybrid roles involving human specialists interacting with AI in the following capacities:

AI Fact-Checkers+312% growth
AI Orchestrators+256% growth
Domain Experts with AI Skills+189% growth
AI Quality Validators+167% growth
AI Trainers+143% growth

These aren’t traditional tech roles. They’re actual human business specialists capable of amplifying AI’s strengths while compensating for its weaknesses.

AI Only v. Human-AI Orchestration Integration

To illustrate this, let’s compare the following two Yurix Ventures integration case studies, featuring two real companies that took very different approaches on how they utilized AI. Names have been withheld for confidentiality.

These integrations represent two different paths with two very different outcomes.

The AI-Only Approach (Limited human involvement)

The Strategy: Replace customer service with AI.

Investment$4.2 million
Timeline6 months

Implementation

  • Deployed state-of-the-art chatbots
  • Automated 80% of inquiries
  • Reduced headcount by 60%
  • Celebrated early “success”

The Reality after 90 Days

  • Customer satisfaction: -34%
  • Escalation rate: +67%
  • Cart abandonment: +23%
  • Brand sentiment: severely damaged
This approach ultimately resulted in a complete rollback after a $4.2 million loss, and the CMO resigned.

The difference is clear.

Company B understood that AI amplifies human capability; it doesn’t replace it. Company A did not.

What successful AI implementations have in common

Upwork’s research also discovered the following patterns in successful AI implementations:

1. Companies need to ask, “How can AI multiply human capability?” rather than, “What can AI automate?”

Let’s look at how AI can multiply human capability, for example:

Sales reps using AI effectively for prospect research and then actually meeting them
Analysts using AI to better understand data processing
Writers using AI to develop content that actually makes sense to customers and motivates them into action
Designers using AI to create sensible variations to elevate the online customer experience

2. It is not simply about AI automation; it’s about amplifying human value.

Consider the following workflow:

Human

A human defines objectives and parameters.

Step 1 of 6

By refocusing on humans as thinkers in this approach, Upwork research found that AI has the potential to create additional jobs requiring new skill sets that outweigh the loss of existing traditional roles, providing an excellent opportunity for employee enhancement and development.

The paradox here is that forward-thinking companies will need more and different human expertise to properly leverage AI, not less.

Tomorrow’s valuable employees will combine deep knowledge in their field with the ability to direct AI tools, spot AI errors, and guide AI creativity to make values-based decisions.

These skills can’t be automated because they require human judgment, creativity, and values.

At Enova, We Embrace Human-AI Orchestration

At Enova, we embrace the Human-AI Orchestration philosophy and approach.

As digital experience creators and web migration specialists we integrate systems seamlessly to drive robust sales channels for our clients that return a positive ROI by tapping into revenue potential. To do this, we leverage the benefits of AI every day and encourage our team members to embrace this phenomenal tool to amplify their presence with our clients.

We believe our team members should ultimately be the guardians of responsible AI use in what we do, and that responsibility is reflected in how we work, how we ask our clients questions, and in driving every aspect of every project our clients entrust to us.

We’re not about replacing humans because we see ourselves operating in a people business using the latest technologies to deliver our services. We use AI to create super humans who can effectively work within the new Human-AI model to amplify our capability and thus, multiply our value to our clients.

We believe the future isn’t about humans just using AI. It’s about humans + AI.

We believe this approach assures our clients they can trust us to deliver what’s needed to help them elevate their digital presence with confidence.

We understand this. We live this. It’s sewn right into our business fabric.

Nothing else matters.

Which brings us back to…

The Handshake

I’ve been in the marketing world a long time. Since the last century.

I’ve seen a lot of fads, gaffes, and greatness over the years.

The one constant I’ve noticed is that after we mess things up, we have this unbelievable capacity to right the ship and get right back on track.

I’m beginning to see that now in how we’re using AI.

After playing around with it for a few years, we’re now beginning to realize that when used responsibly it’s simply a productivity tool, albeit a powerful one, and we control its outcomes.

In short, AI works for humans.

The process is simple: We think creatively, and sometimes emotionally, to come up with the next great idea to get people to do the things we want or need them to do.

AI tirelessly mines data to give us food for thought to support, or refute, that great idea, based on our ability to ask the right questions.

Asking the right question is key. That takes a human skill.

AI doesn’t have all the answers without us.

It doesn’t think for itself.

It doesn’t have feelings, yet.

Until it does, one thing still holds true.

It’s been my experience that sales success still comes from building and nurturing meaningful human relationships. Business success is about trust and confidence. Trust we instill in our clients to give them the confidence to elevate their digital experience.

Yes, the handshake is still the most powerful way to close a deal.

The trick is finding the right hands.

That’s where Enova comes in.

Many thanks to Yurix Ventures and Upwork for sharing their research.

This opinion was written without AI. AI was used to check the grammar and spelling.