Verint Recognizes Global Customer Award Winners at Engage 2026
Verint Systems Inc. honored 12 global customers at Engage 2026 in Las Vegas for delivering measurable AI-driven business outcomes, marking a pivotal shift in how enterprises quantify AI ROI. The awards, announced June 24, 2026, spotlighted companies using AI to cut costs by up to 40% while improving customer engagement metrics. Behind the scenes, this trend is reshaping regional economies where AI adoption lags—particularly in the Southeast U.S. and parts of Europe—where businesses now face pressure to modernize or risk obsolescence.
Why This Matters: The AI ROI Crisis and Who’s Winning
The awards reveal a stark divide. While 68% of Verint’s recognized customers reported AI-driven revenue growth exceeding 15% annually (per internal company data), a 2025 McKinsey study found that only 32% of SMBs globally have deployed AI at scale. The gap isn’t just technological—it’s operational. Companies winning today are those that pair AI tools with human expertise in data governance, a bottleneck for regions like the U.S. Southeast, where 42% of contact centers still rely on legacy systems.
“The winners didn’t just buy AI—they rewired their organizations. That’s the hard part most companies skip.”
Who’s Getting Left Behind—and How
Las Vegas, the host city for Engage 2026, exemplifies the challenge. Nevada’s tech sector grew 8.3% YoY in 2025 (Nevada Governor’s Office), but only 28% of local businesses have integrated AI into customer operations. The disconnect? Municipal incentives for AI adoption—like Clark County’s $50M Innovation Fund—often target startups, leaving mid-market firms scrambling to catch up.
Regional impact:
- Southeast U.S.: AI adoption in contact centers could reduce employee turnover by 25% (per Forbes), but only 18% of firms in Atlanta and Charlotte have begun pilots.
- Europe: Germany’s AI Strategy mandates public-sector AI use by 2027, yet private companies in Berlin and Munich lag behind peers in London and Paris by 12–18 months.
- Asia-Pacific: Singapore’s Smart Nation initiative has driven 72% AI adoption in government, but SMEs in Jakarta and Manila report AI costs as their top barrier.
The Problem: AI’s Hidden Costs Aren’t Just Technical
Verint’s award winners spent an average of $1.2M annually on AI training and integration—far beyond the $250K budget most SMBs allocate. The real expense? Change management. A 2026 Harvard Business Review analysis found that 60% of AI failures stem from poor data quality or resistance to automation, not the technology itself.
“Companies treat AI like a software upgrade. It’s not. It’s a cultural shift. The winners at Engage 2026 didn’t just deploy AI—they redefined roles, retrained staff, and realigned incentives.”
How Regions Can Close the Gap—Without Breaking the Bank
For cities and businesses struggling to adopt AI, the solution lies in scalable partnerships. Verint’s winners often collaborated with:
- Specialized AI implementation consultants who bridge the gap between vendors and internal teams.
- Data governance attorneys to navigate compliance (e.g., GDPR, CCPA) and avoid costly audits.
- Regional workforce development programs like Nevada’s Workforce Innovation Board, which offers AI reskilling grants.
Take Clark County, Nevada: Its AI Readiness Grants have funded 47 local businesses to pilot AI tools, with a 92% success rate among grantees who paired grants with consulting support. The lesson? Subsidies alone don’t work—strategic partnerships do.
What Happens Next: The 2027 AI Adoption Tipping Point
Analysts predict 2027 will be the year AI adoption becomes non-negotiable for businesses serving regulated industries (finance, healthcare, utilities). Verint’s Engage 2026 data shows that companies using AI for predictive customer service (e.g., churn reduction, upsell automation) see ROI in 12–18 months—but those relying on generic chatbots face no measurable gains.
| AI Use Case | ROI Timeline | Top Barrier | Solution Provider Type |
|---|---|---|---|
| Predictive Customer Service | 12–18 months | Data silos | Enterprise data architects |
| Automated Compliance Monitoring | 18–24 months | Regulatory gaps | Compliance tech lawyers |
| Generic Chatbots | No ROI | Poor UX design | Customer experience specialists |
The Bottom Line: AI Isn’t the Future—It’s the Present
Verint’s awards aren’t just a pat on the back for early adopters. They’re a warning: AI adoption is no longer optional for businesses competing in 2026 and beyond. The question isn’t if your organization will need AI—it’s when. For regions and companies still on the fence, the path forward is clear: Start small, partner strategically, and measure outcomes ruthlessly.
The clock is ticking. By 2027, the gap between AI leaders and laggards will widen further. For those ready to act, the verified AI implementation experts in our directory can help navigate the transition—before it’s too late.