Businesses across industries are rapidly adopting AI to enhance efficiency and stay competitive. According to CISCO's AI Readiness Report, companies are now spending 10–30% of their IT budgets on AI initiatives. Yet, many struggle to achieve the expected ROI, especially when trying to scale AI beyond pilot phases. This highlights a gap between the interest of AI adoption and true AI Data readiness. 

The main issue? A lack of data readiness. 

For ISVs and SaaS companies, the stakes are even higher. Without a solid data foundation, AI often turns into a costly experiment rather than a transformational tool. In fact, 95% of organizations report facing challenges in AI implementation, due to poor data quality and disorganized data. 

In this blog, we'll dive into the top data challenges and how Saksoft can help accelerate AI adoption through a structured, data-first approach. 

Data Challenges Slowing Down Your AI Strategy: 

The first step to overcome data challenges is identifying them. Well structured, high-quality and unbiased data is essential for training AI models that address business challenges. Effective AI deployment relies on AI-ready data.  Poor data readiness is consistently linked with wasted time and resources, inaccurate insights, slow information retrieval, and ultimately lost revenue. Here's where businesses often struggle: 

  1. Data Silos: Think of your data as pieces of a puzzle. If different departments keep their pieces separate—CRM data in one place, sales data in another—you'll never see the full picture. 
  2. Poor Data Quality:  AI is only as good as the data feeding it. Errors, duplicates, outdated records… they all lead to misleading insights and and inaccurate outcomes. 
  3. Compliance Can Be a Minefield: Regulations around data privacy and security are getting stricter. Mishandling data doesn't just risk fines—it can erode customer trust. 
  4. Outdated Technology Makes Integration Harder: Legacy systems weren't built for AI. Outdated infrastructure can create bottlenecks, making it difficult to integrate new data tools that enable AI adoption. 
  5. Limited Resources, Slow Progress: Many companies understand the value of AI-ready data but struggle with execution. Whether it's a lack of expertise, budget, or the right technology, businesses need to invest in the right data management solutions and talent to stay competitive. 

Why Data-Readiness Matters? 

Thankfully, companies are waking up to the need for stronger AI readiness, with 51% prioritizing scalable, flexible, and manageable IT infrastructure. The access to high-quality, ready-to-use data is the cornerstone of successful AI onboarding. Here's how: 

  1. It Catches Costly Errors Before They Happen: Data readiness isn't just about organization—it's about quality control. Fixing duplicates, mismatched fields, or legacy errors early means you save time and resources, reaping benefits of AI implementation early. 
  2. Ensures Timely Data Availability: When data is well-structured, organized, and readily accessible, it reduces the time spent searching, cleaning, or reprocessing it. This boosts efficiency in storage and retrieval, supports faster decision-making, and allows different teams to reuse the same data confidently—without duplicating efforts or introducing inconsistencies. 
  3. Strengthens Data Governance for AI Use: Data readiness lays the foundation for effective governance by establishing clear policies, ownership, and standards. This is crucial for managing data responsibly across its lifecycle—through documentation, data assessment and collaboration —ensuring transparency, compliance, and trustworthy outcomes. 
  4. It Aligns Teams Around Shared Data Goals When teams discuss data readiness early, everyone—from IT to business units—gets on the same page. This alignment strengthens collaboration, reduces back-and-forth, and ensures the solution reflects real business needs. It's not just technical prep—it's strategic communication. 
  5. It Speeds Up Your Go-Live Plan: Let's face it—every extra day a project takes is a hit to your ROI. When your data is clean, structured, and available upfront, you drastically cut down on delays and rework. With better data visibility, you can set accurate timelines, reduce last-minute scrambles, and launch your AI initiatives with confidence. 

Fast-Track AI Success with Saksoft's Data Readiness Services: 

Saksoft's Data Readiness Services are purpose-built to help organizations unlock the full value of their data and accelerate AI adoption.   

  • Data Masking
    Keeps your data safe and compliant, so AI and analytics teams can work freely without exposing sensitive information. 
  • Data Modelling
    Speeds up AI implementation by delivering ready-to-use, error-free dimensional models that reduce manual effort and accelerate insights. 
  • Data Mapping & Profiling
    Uncovers hidden data issues early, ensuring clean, reliable data that improves AI accuracy and overall performance. 
  • ER Diagram Generation
    Clarifies complex data relationships, helping teams make informed design choices and build stronger AI-ready systems. 
  • API Ingestion Framework
    Feeds real-time data into AI pipelines, improving decision-making speed and keeping insights fresh and relevant. 
  • ETL Framework
    Simplifies data preparation with automated ETL processes, making data consistently AI-ready without heavy lifting. 

Together, these capabilities create a secured, centralized foundation for scalable,  and intelligent business transformation reducing 40% manual effort for AI deployment 

The Next Step: AI-Ready Data – Ready for Deployment 

Saksoft speeds up and simplifies AI onboarding with the perfect blend of expertise and technology: a team of AI-skilled data architects, engineers, and SMEs, along with our AI-powered SolidHub framework. It's the ultimate fusion of brains and innovation 

Why Partner with Saksoft? 

  • Access Top AI & Data Talent—On Demand
    Tap into a strong bench of AI/ML experts, data scientists, and solution architects. Whether you're scaling an AI pilot or deploying enterprise-wide, we bring the skills to accelerate your goals. 
  • Experience That Speaks for Itself
    With over 25 years of industry experience, we've been the trusted partner for enterprises across sectors—turning their digital transformation ambitions into tangible, impactful results. 
  • Solutions That Grow with You
    Whether you're a startup or a global SaaS company, our data readiness services are designed to flex and scale with your needs. 

Wrapping Up: 

Data transformation isn't just a cleanup exercise—it's a strategic move to unlock AI's full potential. The more structured and accessible your data, the smarter your AI becomes. 

Ready to achieve data readiness for faster AI deployment? Contact us for assessing your current data landscape and discuss more about the transformation strategies together.