Workers using AI report an average 66% increase in overall productivity, with many recapturing 1–2 hours of daily work time.[02],[03]
AI-augmented support agents handle 13.8% more customer inquiries per hour compared to non-AI teams, while programmers leveraging AI complete 126% more projects per week.[04]
74% of enterprises using generative AI are already seeing a return on investment, with another 30–35% expecting ROI within 12 months.[06]
Companies that have fully integrated AI boast 2.5x higher revenue growth than those stuck in traditional methods.[07]
92% of companies are already achieving an ROI from their investment in AI [08]
If your team isn’t tapping into AI, they’re losing an hour (or more) per day that your competitors are reclaiming.[02]
Multiply that by every staff member, every day, and the impact on your bottom line becomes colossal.
A Growing Productivity Gap
AI-led organizations achieve 2.4x greater productivity compared to their peers,[09] pulling ahead at a pace that makes it increasingly difficult for late adopters to catch up.
Staying on the sidelines could cost you thousands of lost hours—and hand a golden opportunity straight to your competitors.
Senior leaders whose organizations are investing in AI are experiencing positive ROI across various business functions. Specifically:
Faced with complex production schedules and tight deadlines, Siemens deployed an Al-driven planning solution that analyzes historical data to predict workflow bottlenecks.
The payoff was a remarkable 15% reduction in production time, allowing entire teams to refocus on innovation and faster go-to-market strategies-without compromising quality
When one of Europe’s largest banks sought to free its financial advisors from endless paperwork, they turned to AI tools.
By automating client-call documentation, Commerzbank’s team reclaimed valuable hours each week—hours they immediately reinvested into deeper client relationships and strategic growth.
The result? A higher volume of client calls handled without the burnout.
To enhance customer service without ballooning costs, American Express rolled out a 24/7 AI-powered chatbot.
This digital assistant tackled routine inquiries in record time, slashing response delays and driving a 25% reduction in customer service costs.
Meanwhile, human agents were freed to handle higher-value client issues and forge stronger relationships.
From banking to manufacturing, Al is helping businesses reclaim hours,
cut costs, and accelerate growth - why not yours?
Many of your competitors are already in the game, waiting any longer isn’t an option.
We’re not here to bury you in tech jargon; we’re here to deliver fast, measurable results that save every person on your team 8 hours per week.
Our Proven Rapid AI Implementation Framework
1. Immediate AI Implementation
We leverage your existing systems—no complex overhauls required.
Start seeing a positive impact in days, not months.
2. Human-Centric Adoption
Clear, step-by-step guidance so your team embraces AI instead of fearing it.
Real-time training and quick-win projects that free up countless hours.
3. Quantifiable ROI
We calculate time saved × your hourly rate × team size—showing you exact returns on your AI investment.
Typical results: 8+ hours saved per employee, per week.
It’s been about 2 years since ChatGPT was released. But still, most of the workforce is just getting started with AI.
47% of respondents are AI Novices, 34% are AI Experimenters – and only 9% have a strong level of proficiency (that’s your Practitioners and Experts). Beyond that, 11% are still Skeptics – not using AI or tried using it once and bounced off.
But the matter of AI proficiency is more nuanced than we previously knew. While company policies matter, 43% of employees in companies that ban AI are still using it as frequently as once a week. And in companies where AI is openly approved of by the organization, the number of AI Experts and Practitioners is cut in half when a direct manager discourage AI use.
The result is an anxious and overwhelmed knowledge workforce still figuring out how navigate and leverage the new superpower. The implication of the leaders: We need clearer AI policies and more robust, hands-on training focused on how to safely and effectively get value from AI.
The knowledge workforce is split into 5 classifications of AI proficiency. In our previous report, we identified 4 classifications. Since then, we’ve adapted these to better encapsulate the nuance of AI use and proficiency in the workforce.
1. FREE UP TIME - 8 hours per week for every team member
2. REDIRECT FOCUS - Move your team to high-impact activities
3. ACCELERATE RETURNS - Exponential Growth and Profitability
Private AI Opportunity Assessment
and keep you ahead of the curve...
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