AI in the Enterprise: 7 Proven Strategies That Actually Work in 2025
At Latenode, we've studied these AI frontrunners and discovered something surprising: their success isn't about having the biggest budgets or the most advanced tech teams. It's about having the right approach—and the right tools that make AI accessible, manageable, and actionable.
"We saw a 20% productivity boost in the first month."
"Our customer response time dropped from 11 minutes to just 2."
"98% of our team now uses AI daily."
These aren't cherry-picked statistics from AI vendors. They're real results from companies like Morgan Stanley, Indeed, and Klarna—businesses that have moved beyond the AI hype cycle to create genuine business value.
The truth? While everyone talks about AI, only a handful of companies are implementing it in ways that deliver measurable ROI.
At Latenode, we've studied these AI frontrunners and discovered something surprising: their success isn't about having the biggest budgets or the most advanced tech teams. It's about having the right approach—and the right tools that make AI accessible, manageable, and actionable.
In this post, I'll share the 7 implementation strategies that separate AI winners from the countless organizations still struggling to generate value. Plus, I'll show how our AI-native workflow automation platform helps businesses implement these strategies without the usual headaches of managing multiple AI tools and complex integrations.
Ready to join the 15% of companies actually getting results from AI? Let's dive in.
7 Proven Strategies for Enterprise AI Success
1. Start with Rigorous Evaluations
The Problem: How do you know if AI is actually delivering better results than your existing processes?
When Morgan Stanley first considered implementing AI, they faced understandable skepticism. After all, financial services are built on trust, precision, and personal relationships.
Their solution? Create a structured evaluation framework (or "evals") to measure AI performance against clear benchmarks.
Morgan Stanley started by testing:
- Language translation accuracy
- Information summarization quality
- Results comparison with expert financial advisors
This methodical approach gave them the confidence to deploy AI, leading to remarkable results: 98% of advisors now use AI daily, document access increased from 20% to 80%, and client follow-ups that once took days now happen within hours.
Your Action Step: Before wide deployment, define clear metrics for what success looks like. Test AI outputs against your current processes using consistent, measurable criteria.
How Latenode Helps: With our hybrid no-code/low-code platform, you can quickly build evaluation workflows that test multiple AI models side-by-side. Our unified subscription gives you access to all leading LLMs—including OpenAI, Claude, Deepseek, and LLaMA—without managing separate API keys, making it easy to find which model performs best for your specific use case.
2. Embed AI Directly Into Your Products
The Problem: How can AI enhance your core product experience in ways customers will actually value?
Indeed, the world's leading job site, faced this challenge head-on. Rather than creating a separate AI feature, they integrated GPT-4o mini directly into their job matching process.
The key insight? Job seekers needed to understand why a particular job was recommended to them.
By using AI to analyze candidate backgrounds and craft personalized explanations for job matches, Indeed achieved:
- 20% increase in job applications
- 13% higher employer hiring rates
"We see a lot of opportunity to continue to invest in this new infrastructure in ways that will help us grow revenue," says Chris Hyams, Indeed's CEO.
Your Action Step: Identify where AI can enhance your core product functionality, rather than creating standalone AI features. Focus on solving specific customer pain points.
How Latenode Helps: Our AI-native platform makes it seamless to embed intelligent workflows into your existing products. With our JavaScript customization capabilities, developers can integrate AI-powered functions directly into applications while business users create and modify the workflows without coding. This flexibility lets you rapidly experiment with AI enhancements without disrupting your product development cycle.
3. Start Now and Invest Early
The Problem: When is the right time to begin implementing AI in your organization?
Klarna, the global payments network, didn't wait for AI to be "perfect." They launched their AI assistant early and continuously refined it through real customer interactions.
The results speak for themselves:
- Two-thirds of service chats now handled by AI
- Resolution time cut from 11 minutes to 2 minutes
- $40 million profit improvement
- 90% of employees using AI in daily work
The critical insight: AI benefits compound over time. The earlier you start, the more your organization learns, adapts, and improves.
Your Action Step: Begin with a targeted pilot in one high-impact area. Use the learnings to refine your approach before expanding to other departments.
How Latenode Helps: Unlike traditional automation platforms that bolt on AI as an afterthought, Latenode is built with AI at its core. Our platform eliminates the complexity of getting started with AI by providing pre-built templates for common business scenarios. You can deploy your first AI workflow in minutes, not weeks, while maintaining the flexibility to customize as you learn what works for your specific needs.
4. Customize and Fine-tune Your Models
The Problem: Generic AI models don't understand your specific business context.
Lowe's, the home improvement giant, discovered this when trying to improve product search on their e-commerce platform. With thousands of suppliers and inconsistent product data, generic AI struggled with accurate categorization.
By fine-tuning AI models on their specific catalog and customer search patterns, Lowe's achieved:
- 20% improvement in product tagging accuracy
- 60% better error detection
"Excitement in the team was palpable when we saw results from fine-tuning GPT 3.5 on our product data. We knew we had a winner on our hands!" says Nishant Gupta, Senior Director of Data, Analytics and Computational Intelligence.
Your Action Step: Identify where generic AI understanding falls short in your specific domain. Invest in fine-tuning to close those gaps.
How Latenode Helps: Our platform allows you to easily create workflows that leverage multiple AI models in concert—using the right model for each specific task. Need reasoning power for one step and fast processing for another? Combine OpenAI and Deepseek models in the same workflow without managing multiple subscriptions. This intelligent orchestration ensures you get optimal performance and cost-efficiency across your AI operations.
5. Get AI in the Hands of Experts
The Problem: Centralized AI teams can't possibly understand all the nuanced challenges across different departments.
Banking leader BBVA took a radically different approach. Rather than limiting AI to specialized teams, they put ChatGPT Enterprise in the hands of employees throughout the organization—after collaborating with Legal, Compliance, and IT Security to ensure responsible use.
The results were astounding:
- 2,900+ custom GPTs created by employees in five months
- Legal team now answers 40,000 policy questions per year with AI
- Credit risk assessment, marketing, and operations all transformed
"We consider our investment in ChatGPT an investment in our people. AI amplifies our potential and helps us be more efficient and creative," says Elena Alfaro, Head of Global AI Adoption.
Your Action Step: Create a framework for safe, responsible AI use, then empower domain experts to build their own solutions.
How Latenode Helps: Our AI agent building capabilities allow domain experts to create specialized AI workers for their specific needs—no coding required. Marketing teams can build customer engagement agents, sales can create lead qualification workflows, and support can develop autonomous troubleshooters—all on the same platform. Plus, our template marketplace lets teams share successful workflows across the organization, accelerating company-wide adoption.
6. Unblock Your Developers
The Problem: Developer resources are the main bottleneck for innovation in most organizations.
Mercado Libre, Latin America's largest e-commerce platform, solved this by building Verdi—an AI development platform powered by GPT-4o and GPT-4o mini that helps their 17,000 developers build applications faster and more consistently.
By unifying language models, Python nodes, and APIs, Mercado Libre achieved:
- 100x more products cataloged through automated tagging
- 99% fraud detection accuracy
- Multilingual product descriptions optimized for regional dialects
- Higher customer engagement through personalized notifications
"We designed our ideal AI platform using GPT-4o mini, with a focus on lowering cognitive load and enabling the entire organization to iterate, develop, and deploy new, innovative solutions," explains Sebastian Barrios, SVP of Technology.
Your Action Step: Invest in tools and platforms that democratize AI development, particularly ones that integrate with your existing development workflows.
How Latenode Helps: Our flexible platform bridges the gap between technical and non-technical teams. Business users can build workflows with our intuitive no-code interface, while developers can extend functionality with JavaScript when needed. This hybrid approach means your development team isn't burdened with building every AI integration—they can focus on the complex challenges that truly require their expertise, while empowering business users to handle straightforward automations independently.
7. Set Bold Automation Goals
The Problem: Most business processes involve significant amounts of routine, repetitive work.
Even OpenAI itself found their support teams getting bogged down in repetitive tasks—accessing systems, gathering context, crafting responses, and taking actions.
Their solution? An internal automation platform that works on top of existing workflows to accelerate insight and action. The system now handles hundreds of thousands of tasks monthly, freeing team members to focus on complex, high-value work.
Your Action Step: Audit your workflows to identify repetitive tasks that could be automated. Set ambitious goals—aim for 80%+ automation rather than incremental improvements.
How Latenode Helps: Our autonomous AI workers can handle complex, multi-step processes that traditional automation tools can't touch. For example, our platform enables unique capabilities like automating customer communication via personal WhatsApp accounts without typical restrictions—a game-changer for sales and support teams. These intelligent agents don't just follow rigid rules; they make decisions, learn from outcomes, and continuously improve their performance.
Beyond Simple Automation: Creating Truly Intelligent Workflows
The examples above reveal a crucial insight: The most successful AI implementations don't just automate isolated tasks—they create intelligent, end-to-end workflows that combine multiple AI capabilities with human expertise.
This is where traditional automation platforms fall short. Tools like Zapier and IFTTT can connect apps but lack deep AI integration. Enterprise platforms like Workato offer power but with complexity and cost that make rapid iteration difficult.
At Latenode, we've built the first truly AI-native workflow automation platform. What does that mean for you?
- Access to all leading AI models through a single subscription (no more juggling API keys and multiple billing cycles)
- Intelligent orchestration that uses the right model for each specific task (optimal performance and cost-efficiency)
- Both no-code simplicity and low-code flexibility (start simple, scale to sophisticated)
- The ability to build autonomous AI agents that handle complex processes end-to-end
Ready to Transform Your Business with AI?
The seven strategies above aren't theoretical—they're being used right now by leading companies to drive measurable business results.
The question is: which strategy will you implement first? And more importantly, do you have the right tools to execute it effectively?
At Latenode, we're helping companies at every stage of their AI journey build and deploy intelligent workflows that deliver real value. Whether you're just starting out or looking to scale existing AI initiatives, our AI-native platform makes implementation faster, more flexible, and more accessible for your entire team.
Ready to see what AI-native workflow automation can do for your business? Start a free trial or view a demo with our team of AI implementation experts.
