top of page

Déjà Vu in Tech: GenAI and Cloud’s Shared Lessons

  • Scott McIsaac
  • 2 days ago
  • 3 min read
GenAI chatbot on mobile, customer engagement integrated into real workflows.

A recent MIT report revealed that despite $30–$40 billion invested in enterprise GenAI, a stunning 95% of pilots yield no measurable financial return or boost profits.  But if you look deeper, the reality is more nuanced. The study is survey-based and often lumps together casual adoption (like giving every employee a chatbot login) with enterprise-scale transformation projects. Without training, process change, and integration, simply “deploying” AI doesn’t deliver meaningful value. That’s not failure; it’s a sign that enterprises are still learning how to apply the technology. The disconnect between massive investment and tangible outcomes feels like déjà vu for those of us who navigated the cloud revolution over a decade ago. The key insight then, and now, is that success comes not just from technology, but from partnering with experts who can guide the journey every step of the way.

Lessons from Cloud’s Early Days: Hype vs. Reality

Just as with GenAI today, enterprise cloud in the early 2010s was surrounded by transformational promises: lower costs, more agility, and new business models. Yet results lagged. Gartner and market watchers marked 2010 as “the year of realism,” with organizations realizing that moving to the cloud was just the start. True success required skilled partners who could integrate, optimize, and help companies adapt, not just deploy technology.

At Helios Core, this lesson is personal.  In our previous company, a cloud MSP, we witnessed firsthand how enterprises who partnered with seasoned experts, rather than going it alone, were the ones who managed change, tamed complexity, and actually achieved the value cloud was supposed to deliver. This was never about technology alone, but about deep collaboration, proven frameworks, and measurable business outcomes.

GenAI pilot stall, integration friction and low ROI causing user frustration.

Why “Going It Alone” Fails (Then and Now)


Looking at both GenAI today and cloud adoption then, the pitfalls are clear:

  • Integration Friction: Solutions stall unless deeply woven into real workflows, something few can do without help.

  • ROI “Mirages”: Measurable value requires more than pilots; it needs ongoing tuning, managed deployment, and relentless focus on real business outcomes—areas where experienced partners excel.

  • Cultural Change: Navigating people, process, and technology is a journey, not an event, a journey smoother and far more successful with the right guide.

Why the Partner Matters: Helios Core’s Approach


Enterprise cloud foundation for GenAI transformation and managed services.

Fast forward to today: True GenAI transformation hinges on finding a partner who brings both experience and the right playbook. Helios Core was founded specifically to be that guide, marrying decades of cloud-scale operational know-how with best-in-class AI advisory and agentic managed services.

  • AI Isn’t Just Tech; It’s About Outcomes: Helios Core simplifies complexity, unlocks insights, and drives real business performance.

  • From Strategy to Execution: Our approach spans advisory, readiness, custom AI agent design, integration, and continuous value optimization.

Agentic Managed Services: We manage AI agents throughout their lifecycle, so customers can focus on business growth, knowing our team is optimizing, securing, and improving outcomes every step of the way.

GenAI vs. Cloud and the Helios Core Difference

Pattern

GenAI/Cloud Adoption

With Helios Core as Partner

High Investment, Low ROI

95% of pilots stall[1]

We ensure integration, value, and scale

Integration Challenges

Tech doesn’t fit workflows

Advisory, design, and managed ops

Ongoing Optimization

Often missing

Lifecycle management, continuous tuning[8]

True Business Transformation

Rare alone

Achievable with a trusted guide

Where the Value Really Lies: Agentic AI

Chatbots are useful, but they’re not the endgame. Agentic AI—systems that can learn, remember, and adapt—are what enterprises truly need. Unlike static chatbots, agentic systems can integrate into real workflows: processing contracts end-to-end, managing customer inquiries, or optimizing back-office operations.

That’s a bigger lift than handing out chatbot licenses, but it’s also where the durable ROI will be found. And it requires finding the right use cases and building adoption step by step.

Agentic AI lifecycle, advisory-led, continuous tuning integrated into production workflows.

The Real Moral: Choose a Partner as Invested as You Are

The best cloud transformations were those we delivered shoulder-to-shoulder with our clients, acting as more than vendors, being true navigators and enablers of change. With GenAI, the stakes and complexity are even higher. Don’t let your investments become another statistic. The difference between hype and authentic business impact is a partner like Helios Core.


If you’re ready to cross the GenAI divide, and want a partner who’s journeyed this path before, let Helios Core help bring your vision to life.

By building on your history and showcasing the managed services edge of Helios Core, this blog post positions you as the essential partner for customers seeking real value from GenAI.[7][6][8][1]

 
 
 

Comments


Commenting on this post isn't available anymore. Contact the site owner for more info.
bottom of page