Tag: business outcomes

  • Why Enterprise AI Projects Fail: The Real Challenge Is Execution, Not Innovation

    Why Enterprise AI Projects Fail: The Real Challenge Is Execution, Not Innovation

    Enterprises are pouring billions into artificial intelligence, yet a staggering number of AI initiatives never graduate from pilot to production. According to Anand Mahurkar, CEO and Founder of Findability Sciences, the problem isn’t a lack of innovative technology—it’s a failure of execution. In this interview, Mahurkar explains why most AI projects stall, how to bridge the pilot-to-production gap, and why predictive and prescriptive AI deserve more attention in the shadow of generative AI hype.

    The Pilot-to-Production Gap: A Design Problem, Not a Technology Problem

    Mahurkar argues that the gap between a successful pilot and a live business system is fundamentally a design flaw. Most organizations build pilots to prove a model works in isolation, not to survive the pressures of a real profit-and-loss environment. He cites sobering statistics: Gartner predicts that by the end of 2025, at least 30% of generative AI projects will be abandoned after proof of concept due to poor data quality, unclear business value, or escalating costs. MIT’s Project NANDA goes further, finding that 95% of organizations deploying generative AI saw zero measurable return. “That’s not a model failing,” Mahurkar says. “That’s an organization that never defined what ‘working’ meant before it started building.”

    His solution is straightforward but demanding: pick a use case with a named P&L owner from day one, instrument the return before writing any code, and treat data readiness as a prerequisite—not an afterthought. At Findability Sciences, no pilot is greenlit unless there is a specific business metric it must move and an accountable person in the room.

    Turning AI into an Operating System, Not a Lab Experiment

    Findability Sciences helps industries from agriculture to financial services treat AI as an operating system for the business. Mahurkar highlights the AI Factory for Sugar, built with Grupo Pantaleon, and work with the Agricultural Development Trust in Baramati using Stoma Sense and Stoma Insight. These tools move mills and farms from reactive decision-making to predictive planning—yield forecasting, crop stress detection, harvest scheduling—all tied to metrics the CFO already tracks.

    The same architecture applies to manufacturing (predictive maintenance, quality drift detection), retail and QSR (Serva Insight for store-level operational intelligence), and financial services (risk scoring, fraud pattern detection). The common thread: start where data already lives, attach a hard number, and scale only once that number moves. “Deploy AI against the handful of decisions in a business that actually move revenue, cost, or risk, and ignore the rest until those are working,” Mahurkar advises.

    Don’t Overlook Predictive and Prescriptive AI

    While generative AI dominates headlines, Mahurkar warns that enterprises risk overlooking the quieter, more impactful work of predictive and prescriptive AI. Forecasting demand, optimizing supply chains, flagging machine failures before they happen—these are closer to where the balance sheet lives. A 2–3% accuracy improvement in high-stakes decisions compounds into real money faster than any chatbot conversation. “GenAI helps you communicate a decision well. Predictive and prescriptive AI help you make a better one in the first place,” he says. The most successful enterprises run both deliberately, against different problems, rather than picking a side.

    From Experiments to Enterprise-Wide Adoption: Practical Advice

    Mahurkar offers four unglamorous but effective steps for business leaders:

    • Consolidate. Pick three to five use cases with the clearest line to revenue or cost, and kill the rest. A portfolio of twenty pilots dilutes budget and attention.
    • Build the data foundation once, centrally. Findability’s ICUPP model—Infrastructure, Collect, Unify, Process, Present—ensures that every subsequent AI use case gets faster and cheaper to ship.
    • Put a single senior owner on AI outcomes, not a committee. Someone who reports a number, not a roadmap.
    • Hold every AI initiative to the same standard as any capital investment: a defined return, timeline, and owner.

    He notes that S&P Global research shows the share of enterprises abandoning most AI initiatives jumped from 17% in 2024 to 42% in 2025—a governance failure, not a technology failure.

    One Piece of Advice for CEOs

    Mahurkar’s final advice for CEOs planning a five-year AI strategy is philosophical: “Don’t let AI become another line item you manage. Let it become the way your company sees itself more clearly than it ever has before.” He urges leaders to ask themselves annually: if we saw our business with total clarity, what would we do differently—and are we brave enough to do it? The real promise of AI, he says, is not efficiency for its own sake, but the chance to run a business with friction and guesswork finally removed.

  • Strategies for Successful HR Software Implementation in Enterprises

    Strategies for Successful HR Software Implementation in Enterprises

    Organizations improve HR software implementation success by simplifying system architecture, aligning deployment to business goals, and prioritizing user adoption from the start. Platforms like Paycom, which uses a single-database approach and consistently ranks top in G2’s Implementation Index, reflect this shift toward more streamlined, repeatable rollout experiences. As a result, implementation quality is increasingly measured by how quickly organizations achieve value and how consistently those outcomes are delivered across customers.

    Enterprise HR systems promise transformation: unified data, better decision-making, and a more seamless employee experience. Yet for many organizations, the hardest part isn’t choosing software. It’s making it work. Implementation has become the defining factor in whether HR technology delivers value and, increasingly, one that can be measured, benchmarked, and compared across vendors. User-driven platforms now evaluate not just what software can do, but how effectively organizations deploy it, using real-world feedback on setup, adoption, and time-to-value.

    That shift reflects a broader reality. As organizations continue investing in HR technology, implementation has become one of the clearest indicators of whether those investments deliver meaningful business value. According to a Boston Consulting Group analysis of large-scale tech programs, more than two-thirds fail to fully meet implementation expectations for timing, budget, or scope. At the same time, less than one-quarter of HR employees reported in a Gartner survey that their HR function is getting the maximum value from its technology, underscoring the opportunity for organizations to improve how systems are deployed and adopted.

    As a result, buyers are placing greater emphasis on implementation performance when evaluating HR software providers. Solutions that can demonstrate a consistent ability to help organizations get up and running efficiently are increasingly standing out in the market, and Paycom is the leading example. Its strong performance in G2’s Summer 2026 Implementation Index rankings suggests organizations value not only the platform itself, but also the experience of deploying and adopting it. For enterprise buyers, implementation is no longer just a project milestone. It is an important predictor of long-term technology success.

    What Drives Successful HR Software Implementation Today?

    Successful HR software implementation is driven by disciplined execution, strong change management, and alignment between technology and business goals. Organizations that succeed treat implementation as a cross-functional effort, prioritizing data accuracy, user adoption, and clear ownership from Day 1. It’s an approach reflected in platforms like Paycom that emphasize a unified data model to reduce friction during rollout. Research consistently shows that breakdowns in planning and execution — not the software itself — are the primary causes of missed outcomes. According to Boston Consulting Group, large-scale tech programs often stall when teams lack a clear road map or fail to coordinate across systems and stakeholders. Common HRIS challenges, including data migration issues and low user adoption, further reinforce that implementation success depends on preparation as much as product selection. Paycom’s approach, which centers on a single-database system and an in-house implementation team, aligns with these success factors by reducing the need for complex integrations or third parties that often delay or derail implementation.

    Why Does Implementation Matter for Enterprise Organizations?

    Implementation matters for enterprise organizations because workforce scale magnifies both risk and reward. A delayed deployment or data issue can affect thousands of employees, while a successful rollout can improve visibility, efficiency, and workforce planning across the business. For large employers managing complex payroll, compliance, and talent processes, implementation decisions often have long-term operational implications. The transition to a new HR and payroll platform can influence everything from reporting accuracy to the employee experience, making execution just as important as software selection. This is where enterprise buyers increasingly look for proven results. Rather than evaluating technology solely on features, organizations are asking whether a platform can support growth, adapt to changing business needs, and help teams realize value quickly after deployment. Paycom’s strong implementation performance in G2’s summer 2026 reports reflects the growing importance of those considerations as enterprises evaluate long-term HR technology investments.

    What Are Leading Organizations Doing Differently?

    Leading organizations are approaching HR technology with a long-term operational mindset rather than treating implementation as a standalone project. Many are moving away from disconnected applications in favor of platforms that create a more unified employee experience. They are also involving managers and employees earlier in the process, recognizing that engagement often determines whether technology becomes part of everyday work. This approach aligns with broader industry priorities around workforce visibility, strategic planning, and employee self-service. Rather than focusing solely on deployment milestones, successful organizations are measuring how technology supports decision-making months and years after implementation.

    How Do Software Rankings Reflect Implementation Success?

    Software rankings increasingly provide a window into what users experience after purchase, and users on G2 report having a great implementation experience with Paycom. Paycom’s performance in G2’s summer 2026 reports reflects the growing emphasis organizations place on post-purchase success and quick, seamless ramp-up times. For buyers navigating a crowded HR technology market, review-based benchmarks offer an additional layer of insight beyond product demonstrations and vendor materials. Implementation-focused evaluations can reveal how customers perceive onboarding, support, and the transition from purchase to day-to-day use. The company ranked No. 1 in G2’s Implementation Index and earned 62 Implementation Index placements overall, including 23 top 10 rankings and seven top five positions. Paycom also secured the No. 1 position in the Benefits Support category. Because these rankings are based on verified customer feedback, they provide insight into how organizations evaluate their experiences during onboarding and deployment, areas that have become increasingly important as buyers seek evidence of real-world results.

    What Does Implementation Success Look Like Now?

    Implementation success today is measured by business outcomes, not simply project completion. Organizations increasingly evaluate whether technology helps improve efficiency, automates decisions, increases workforce visibility, and supports a better employee experience after deployment. Metrics such as adoption, operational efficiency, and time-to-value often matter more than whether a project launched on schedule. That shift reflects an evolution in HR technology. The most successful implementations are no longer viewed as isolated technology projects. They are viewed as foundational investments that help organizations operate more effectively over the long term.