AI adoption in ServiceNow is accelerating, but many initiatives fail to deliver a clear ROI. As Vidyasagar Patro (ServiceNow CoE) highlights in our latest perspective, the problem is not the technology. It is treating AI as a feature instead of an architectural transformation. At Saksoft, we believe architecture and data determine your outcomes. Key Takeaways: - 𝗧𝗵𝗲 𝗠𝘂𝗹𝘁𝗶𝗽𝗹𝗶𝗲𝗿 𝗘𝗳𝗳𝗲𝗰𝘁: AI does not create excellence; it scales what already exists. If your CMDB and workflows are fragmented, AI only amplifies that fragmentation. - 𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻 𝗢𝘃𝗲𝗿 𝗦𝘂𝗴𝗴𝗲𝘀𝘁𝗶𝗼𝗻𝘀: The highest ROI comes from moving beyond "intelligent suggestions" to autonomous execution and self-healing workflows. - 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗮𝗹 𝗝𝘂𝗱𝗴𝗺𝗲𝗻𝘁: Success requires the foundation to be right first. This means CMDB remediation and workflow rationalization before AI is layered on top. - 𝗕𝗲𝘆𝗼𝗻𝗱 𝗚𝗼-𝗟𝗶𝘃𝗲: We measure success by the operational value delivered 12 months later, not just the initial launch. Read the full story here. Talk to our team: Shankar Harihara Iyer, George Roshan John, Manu Damodaran, Neeraj Kumar, Sivaraman Singaram, Ashithraj K, Kishore Kumar, Laviena Bagaria, Nalini Shyam Ambati, Sandeep Aggarwal #ServiceNow #EnterpriseAI #AIArchitecture #DigitalTransformation #Saksoft
Saksoft
IT Services and IT Consulting
AI-Led Software Engineering | Intelligent Products & Platforms | Transforming ISVs & Enterprises with AI
About us
We are an 𝗔𝗜-𝗹𝗲𝗱, 𝗱𝗮𝘁𝗮-𝗱𝗿𝗶𝘃𝗲𝗻 𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗮𝗻𝗱 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗠𝗼𝗱𝗲𝗿𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗽𝗮𝗿𝘁𝗻𝗲𝗿, helping businesses 𝗯𝘂𝗶𝗹𝗱 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝘀𝗼𝗳𝘁𝘄𝗮𝗿𝗲, 𝗱𝗿𝗶𝘃𝗲 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻, 𝗮𝗻𝗱 𝘀𝗰𝗮𝗹𝗲 𝗶𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻. By combining deep AI, data engineering, and platform expertise with industry insights, we empower our clients to stay ahead of the curve. Our 𝗔𝗜-𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 𝗮𝗻𝗱 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀 enable businesses to predict, adapt, and thrive in a dynamic market, unlocking new revenue streams and operational efficiencies. We partner with leading ISVs and SaaS providers , driving digital software engineering for scalable, high-performance, and AI-powered products. Our expertise accelerates growth, optimizes platform resilience, and enables continuous innovation to build next-gen, cloud-native solutions. 𝗪𝗵𝘆 𝗦𝗮𝗸𝘀𝗼𝗳𝘁? 𝗔𝗜-𝗟𝗲𝗱 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 – Intelligent products, AI-driven automation & decision intelligence 𝗔𝗜-𝗥𝗲𝗮𝗱𝘆 𝗗𝗮𝘁𝗮 & 𝗖𝗹𝗼𝘂𝗱 𝗠𝗼𝗱𝗲𝗿𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻 – Real-time analytics, cloud-native platforms & data governance 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝘆-𝗙𝗼𝗰𝘂𝘀𝗲𝗱 𝘀𝗼𝗹𝘂𝘀𝘁𝗶𝗼𝗻 – Tailored AI solutions for Hitech, ISVs, BSFI & Digital Commerce Trusted by global enterprises for mission-critical AI & data transformations 𝗦𝗲𝗲 𝗯𝗲𝘆𝗼𝗻𝗱. 𝗥𝗶𝘀𝗲 𝗮𝗯𝗼𝘃𝗲. 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺 𝘄𝗶𝘁𝗵 𝗔𝗜-𝗱𝗿𝗶𝘃𝗲𝗻 𝘀𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴.
- Website
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https://www.saksoft.com
External link for Saksoft
- Industry
- IT Services and IT Consulting
- Company size
- 1,001-5,000 employees
- Headquarters
- New Jersey
- Type
- Public Company
- Founded
- 1998
- Specialties
- Customer Experience, Digital Transformation, Enterprise Application, Augmented Analytics, Intelligent Automation, Enterprise Cloud, Mobile Apps, ECommerce, Omni Channel, Machine Learning, Artificial Intelligence, RPA, Internet of Things, Test Automation, Quality Assurance, Employee Wellbeing, AI, Software Engineering, Intelligent Platforms, Digital Engineering, Enterprise Modernization, Cloud, Automation, BFSI, ISV, Hitech, SaaS, Cloud Native, and AI Ready Data
Locations
Employees at Saksoft
Updates
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AI is fundamentally reshaping IT delivery economics, but are commercial models keeping pace? As AI compresses development cycles and scales automation, value is shifting 𝗳𝗿𝗼𝗺 𝗲𝗳𝗳𝗼𝗿𝘁 𝘁𝗼 𝗼𝘂𝘁𝗰𝗼𝗺𝗲𝘀. Measuring success solely by hours worked no longer reflects the true ROI of intelligent engineering. In this featured article, Niraj Ganeriwal outlines a strategic shift toward commercial frameworks that mirror the speed of AI. The focus is on moving beyond a "one-size-fits-all" mindset to drive better alignment: • 𝗢𝘂𝘁𝗰𝗼𝗺𝗲-𝗟𝗶𝗻𝗸𝗲𝗱 𝗩𝗮𝗹𝘂𝗲: Scaling engagements based on efficiency gains and business impact. • 𝗛𝘆𝗯𝗿𝗶𝗱 𝗖𝗼𝗺𝗺𝗲𝗿𝗰𝗶𝗮𝗹 𝗦𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲𝘀: Balancing cost predictability with the flexibility needed for innovation. • 𝗖𝗼𝗻𝘀𝘂𝗺𝗽𝘁𝗶𝗼𝗻-𝗔𝘄𝗮𝗿𝗲 𝗠𝗼𝗱𝗲𝗹𝘀: Accounting for the new realities of compute and model execution. • 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗲𝗱 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲: Ensuring accountability and traceability in AI-led decision-making. The organizations that lead the next era won’t just adopt AI—they will align value, cost, and outcomes far more effectively. Read the full story: Talk to our team: Shankar Harihara Iyer, George Roshan John, Manu Damodaran, Neeraj Kumar, Sivaraman Singaram, Ashithraj K, Kishore Kumar, Laviena Bagaria, Nalini Shyam Ambati, Sandeep Aggarwal #EnterpriseAI #FinOps #AIGovernance #Saksoft #DigitalTransformation #Innovation
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AI has transformed development speed, but it has also created a critical reliability gap in Banking and Financial Services (BFS). Dhiraj Mangla, Chief Customer Officer at Saksoft, breaks down why quality must now outpace code to ensure rapid innovation does not become a strategic liability. For BFS organizations, speed without verified reliability creates compliance risks and financial exposure. To scale effectively, the enterprise must pivot from traditional, manual-heavy testing to a robust 𝗤𝗔𝗢𝗽𝘀 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸. 𝗦𝗶𝘅 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗰 𝗦𝗵𝗶𝗳𝘁𝘀 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗔𝗜-𝗙𝗶𝗿𝘀𝘁 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲: • 𝗔𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗶𝗻𝗴 𝗤𝘂𝗮𝗹𝗶𝘁𝘆: QA must shift from reactive checkpoints to continuous engineering embedded within the development cycle. • 𝗧𝗲𝘀𝘁𝗶𝗻𝗴 𝗔𝗜-𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗲𝗱 𝗟𝗼𝗴𝗶𝗰: Systems must evolve to validate non-deterministic, context-aware AI decision engines rather than just human-written code. • 𝗗𝗮𝘁𝗮-𝗙𝗶𝗿𝘀𝘁 𝗩𝗮𝗹𝗶𝗱𝗮𝘁𝗶𝗼𝗻: Privacy-compliant, simulated patterns are now foundational to testing edge cases that real data cannot safely touch. • 𝗭𝗲𝗿𝗼 𝗗𝗲𝗳𝗲𝗰𝘁 𝗟𝗲𝗮𝗸𝗮𝗴𝗲: In high-stakes environments, the enterprise must validate AI explainability, bias, and end-to-end traceability. • 𝗔 𝗨𝗻𝗶𝗳𝗶𝗲𝗱 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸: QAOps integrates automation and AI-aware validation directly into the production pipeline. • 𝗧𝗵𝗲 𝗖𝗼𝗻𝗳𝗶𝗱𝗲𝗻𝗰𝗲 𝗘𝗻𝗴𝗶𝗻𝗲: Quality functions must move from being a cost center to a strategic driver that enables faster, safer releases. Reliability, alignment, and control are the new benchmarks for AI success. 𝗥𝗲𝗮𝗱 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗽𝗲𝗿𝘀𝗽𝗲𝗰𝘁𝗶𝘃𝗲 𝗯𝘆 𝗗𝗵𝗶𝗿𝗮𝗷 𝗠𝗮𝗻𝗴𝗹𝗮 𝗼𝗻 𝗿𝗲𝗱𝗲𝗳𝗶𝗻𝗶𝗻𝗴 𝗿𝗲𝗹𝗶𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗔𝗜 𝗲𝗿𝗮: https://lnkd.in/giyCEdcy Talk to our team: Shankar Harihara Iyer, George Roshan John, Manu Damodaran, Neeraj Kumar, Sivaraman Singaram, Ashithraj K, Kishore Kumar, Laviena Bagaria, Nalini Shyam Ambati, Sandeep Aggarwal #QAOps #QualityEngineering #BFS #DigitalTransformation #Saksoft
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Thank you, Wahed Shaikh for being an essential part of Saksoft's success! #Saksoft #success #5years #thankyou #employeemilestone Saksoft
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Thank you, Swetaparna Tripathy for being an essential part of Saksoft's success! #Saksoft #success #5years #thankyou #employeemilestone Saksoft
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Enterprises are still running AI in silos: Insights in one place Data in another Execution still manual This leads to constant tab switching, fragmented context, and low adoption across teams. That is why AI delivers potential, not impact. A clear shift is emerging. AI is moving from assisting to acting where work happens. As Priya Panigrahy, CoE Head, highlights in this perspective, the real opportunity lies not in adding more AI tools, but in enabling an AI colleague within Microsoft Teams that connects systems, understands context, and executes work in real time. “The next phase of enterprise AI will be defined by execution, not just intelligence.” If your organization is investing in AI, this is the question that matters: Is your AI assisting… or actually getting work done? >> Read the full perspective >> See it in action: https://lnkd.in/gFd-gMjQ Talk to our team: Shankar Harihara Iyer, George Roshan John, Manu Damodaran, Neeraj Kumar, Sivaraman Singaram, Ashithraj K, Kishore Kumar, Laviena Bagaria, Nalini Shyam Ambati, Sandeep Aggarwal #EnterpriseAI #AITransformation #MicrosoftTeams #TeamsAgent #FutureOfWork #Saksoft