Most companies are rushing toward AI yet according to recent research, only about 1% are actually getting it right.
Why? Because the most successful enterprises don't start with isolated use cases or tactical tools. What sets the top 1% apart is a shift in mindset. They prioritize data unification, operational adaptability, and measurable impact over flashy experiments.
They build strong foundations first: unified data systems, intelligent operations, and the ability to adapt. The difference shows up not just in efficiency, but in decision quality, speed, and competitive advantage. We’ll dig into how those who lead in AI think, act, and measure differently so you can follow their path. In this issue, we unpack how leaders are making AI stick: from new platforms like DomainForge.ai and SafePrompt, to success stories that prove AI can move beyond pilots - to P&L impact.
Enterprises know the frustration: most AI models are built as generalists. They don’t understand industry nuance, compliance constraints, or the proprietary knowledge that makes your business unique. That’s why up to 80% of AI investments struggle to show meaningful impact because the models simply weren’t designed for your domain. DomainForge.ai changes the equation. This no-code platform allows subject matter experts not just data scientists to build smaller, smarter models trained on your organization’s own data. These right-sized Small Language Models (SLMs) capture real-world edge cases, delivering higher accuracy while cutting costs by as much as 90% compared to large generic models.
With built-in orchestration and retrieval-augmented intelligence, DomainForge.ai ensures your AI stays context-aware, grounded in enterprise knowledge, and deployable across your preferred environment on-prem, hybrid, or cloud. And because all training happens within your secure perimeter, your proprietary data stays private and compliant at every step.
Why settle for AI that doesn’t speak your language? With DomainForge.ai, your business gets intelligence that truly understands its world.
AI is fueling speed and creativity across enterprises, but every prompt typed into ChatGPT, Claude, or any LLM could pose a hidden risk. In high-velocity enterprise environments, sensitive information can be unintentionally exposed through everyday AI interactions.
Leading organizations are adopting prompt-level compliance by embedding controls into the user experience. These measures reinforce secure behavior while preserving productivity. This approach ensures that AI adoption aligns with enterprise-grade requirements for data protection, regulatory readiness, and operational integrity.
Ensure audit readiness while protecting what matters most: customer trust, proprietary data, and enterprise intelligence. Seamlessly integrate across cloud and private LLM environments. Deployable across Azure OpenAI, AWS Bedrock, Google Cloud AI, or your private LLMs, it adapts seamlessly to your infrastructure.
Responsible AI is no longer a policy. It is an embedded capability that must operate at scale.
What does it take to move AI from boardroom demos to enterprise-scale impact? At the UBS Asian Investment Conference 2025, Altimetrik CEO Raj Sundaresan joined UBS’s Nicolas Gaudois to explore how agentic AI is reshaping business from copilots that assist to autonomous agents that transform.
The big insight: while most enterprises are experimenting with AI, only 14% have reached production scale. The next wave is about building trust, scalability, and measurable value.
“Amit Singh is the Chief Strategy Officer and Chief of Staff to the CEO at Altimetrik, where he drives corporate strategy, growth acceleration, and value creation through transformation initiatives. In this dual role, he partners closely with leadership teams, investors, and the board to align business strategy with sustained, technology-driven growth.
With over two decades of experience at the intersection of technology, business, and transformation, Amit brings a unique perspective on how organizations can innovate and adapt in a rapidly evolving digital landscape. His career has been defined by building high-performing teams, scaling innovative platforms, and driving organizational change to deliver lasting impact.
Before joining Altimetrik, Amit held senior leadership roles at Visa, where he led technology strategy, engineering, and product development for Real-Time Payments and the Visa Developer Platform. Earlier, he served as Chief Product Officer at a startup and spent more than a decade at Oracle, leading product and engineering teams across a wide range of enterprise software applications.”
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