November 2025 – Orlando, FL– Prolifics, a global leader in digital transformation and IT innovation, has reaffirmed its commitment to sustainability, ethics, and social responsibility through its comprehensive Environmental, Social, and Governance (ESG) policy. The policy reinforces the company’s dedication to driving responsible growth while making a lasting positive impact on society and the environment, further strengthening the Prolifics ESG Commitment.
At the heart of Prolifics’ ESG framework lies its Sustainability Policy, which integrates economic, environmental, and social values into every facet of the organization. Guided by principles of continual improvement, innovation, employee engagement, and strong governance, Prolifics seeks to balance business success with meaningful contributions to the planet and people.
These environmental and governance best practices are focused on pollution prevention, resource optimization, and the adoption of the “Reduce, Reuse, Recycle” approach to minimize environmental impact.
To combat climate change and further its sustainability initiatives, Prolifics has set a bold target to reduce greenhouse gas emissions by cutting absolute Scope 1 and 2 GHG emissions by 42% by FY2031, using FY2024 as the baseline year. The company also plans to measure and reduce Scope 3 emissions globally. As of March 31, 2025, Prolifics achieved an 11.13% reduction in emission intensity, bringing it down to 0.501 tCO₂e compared to the previous year. Additionally, renewable energy now accounts for 2.35% of total energy consumption—a clear step forward in transitioning to sustainable energy sources.
The company’s commitment to its people remains equally strong. Prolifics promotes employee well-being and professional development through continuous learning initiatives and robust occupational health and safety programs. Its offices in India, the US, and the UK are ISO 45001:2018 certified, reflecting adherence to international standards for workplace safety. Beyond the workplace, Prolifics contributes to community development through various Corporate Social Responsibility (CSR) initiatives designed to empower and uplift local communities.
Under the Social pillar, Prolifics upholds a culture of respect, equality, and inclusion. The organization enforces key policies such as the Dignity at Work Policy, Equal Opportunity Statement, Health and Safety Policy, and Modern Slavery Policy, ensuring ethical labor practices and a safe, inclusive environment for all employees.
Governance remains a cornerstone of the company’s integrity-driven approach. Prolifics enforces strict Anti-Bribery, Anti-Fraud, and Anti-Money Laundering policies while maintaining a robust Information Policy to ensure transparency, accountability, and compliance at every level.
“Prolifics’ ESG vision is more than a policy, it’s a promise to future generations,” said Satya Bolli, CMD, Prolifics. “We are building a business that thrives on innovation while protecting our environment, empowering our people, and promoting ethical governance.”
With clear targets, measurable progress, and a culture of continuous improvement, Prolifics stands poised to lead by example, transforming not just technology, but the world we share—further strengthening the Prolifics ESG Commitment.
When a state’s Department of Human Services was mandated to retire all legacy mainframe applications, it turned to Prolifics to lead its digital transformation. The agency’s outdated Mobius InfoPac system was costly, complex, and limited data-driven decision-making across critical welfare and citizen programs.
Challenge
The agency needed to:
Transition from a high-maintenance mainframe environment
Migrate decades of reports securely to the cloud
Maintain full data accuracy, accessibility, and compliance
Our Solution
Prolifics deployed its proven three-phase migration framework to analyze requirements, automate extraction, validate data integrity, and migrate 361 reports (31 GB) to Box, a secure, modern cloud repository. With zero downtime, 100% data validation, and enhanced accessibility, the agency achieved compliance with state modernization mandates while ensuring uninterrupted citizen services.
The Results
11x faster document search and retrieval
Zero data loss, full compliance, and operational continuity
Improved scalability and user experience
Foundation built for future departmental modernization
Client Impact
The Department praised Prolifics’ structured approach, risk mitigation, and transparent communication. The migration set a new benchmark for digital transformation in government, enhancing data accessibility, performance, and long-term sustainability.
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Unlocking agility, precision, and scalability, a century-old chemical manufacturing enterprise partnered with Prolifics to modernize its operations and build a future-ready digital core. With legacy systems slowing down production, costing, and compliance, the organization needed a transformation that could streamline workflows and deliver real-time insights across the board.
Prolifics implemented SAP S/4HANA Cloud, integrating advanced tools like SAP Analytics Cloud, Document Management System, and custom Fiori applications. From automated overhead allocation and GST reporting to digital batch records and weighbridge integration, every process was reimagined for speed, accuracy, and compliance.
The transformation empowered teams with centralized access, automated logistics, and intelligent dashboards, enabling faster decisions, improved product traceability, and seamless international trade operations. With optimized plant maintenance, quality control, and financial workflows, the enterprise is now positioned to scale confidently in a competitive global market.
At Prolifics, we turn vision into value, faster. With over 45 years of digital engineering and consulting excellence, we help manufacturers innovate and grow across industries including chemicals, energy, healthcare, and finance.
Download the full case study to see how Prolifics helps industrial leaders transform with intelligence, speed, and impact.
Modern enterprises must continuously balance innovation, agility, and operational efficiency, all while keeping their ERP environments clean, adaptable, and future-ready. However, traditional on-premises ERP systems often stand in the way. Excessive customizations, fragmented integrations, inconsistent processes, and poor data quality create technical debt that slows innovation and drains resources. That’s why the concept of a “Clean Core” in SAP landscapes matters so much. For organisations that want to innovate, move faster, adopt AI/ML, and thrive in a cloud-first era, the “Clean Core” strategy is the foundation of being future-ready.
What is “Clean Core Approach in SAP”?
At its heart, the “Clean Core” philosophy means keeping your ERP’s digital core as standard as possible, minimal invasive custom code, fewer modifications to the standard software stack, and instead, extensions and innovation layered around the core (rather than inside it). In simple terms, you don’t strip out all customisation, but you decouple it from the core, so that the core remains stable and update-safe.
According to SAP’s learning journey: “A Clean Core does not mean the absence of custom code. It means that any extension or customization is decoupled from the core, ensuring that upgrades remain stable, processes stay agile, and innovation can be adopted quickly.”
Why does this matter? (Business drivers)
Upgrade-safe and future-ready: Too much custom code inside the core slows every upgrade, increases risk of regressions, and locks you into rigid systems. A clean core means fewer roadblocks when you want to leverage the latest innovations or move to cloud editions of S/4HANA.
Reduced technical debt & lower TCO: When custom code proliferates in the core, you accumulate “spaghetti” logic, hard-to-maintain objects, and undocumented changes. A clean-core strategy helps trim that over time and keep maintenance lean.
Agility and innovation acceleration: With fewer entrenched dependencies, you can adopt new business models faster, tap into the capabilities of SAP Business Technology Platform (BTP), integrate AI/ML, create side-by-side extensions and services without destabilising the core.
Standardised data & process foundation: A clean core also means your data structures, processes, and integration patterns are more likely to be reliable, documented, and maintainable, which matters for analytics, reporting, regulatory compliance, and performance.
What are the key dimensions of Clean Core?
Businesses often focus purely on custom-code reduction, but the full clean-core strategy spans multiple dimensions: software stack & core, processes, extensibility, integration, data, and operations.
Let’s break these down:
Software Stack & Core: Keep your SAP core (e.g., S/4HANA, Enterprise Management) up-to-date, unmodified where possible, and aligned to SAP’s release strategy.
Processes: Adopt standard business processes where feasible. Minimise variants and special-case logic inside the core. When modification is truly needed, do so via standard extension pathways.
Extensibility: Instead of modifying standard SAP source code, build extensions using well-defined APIs, BAdIs, in-app tools, or side-by-side on BTP.
Integration: Use modern interfaces (ODATA, events, REST APIs) and standard SAP integration content rather than tightly coupled, custom point-to-point integration inside the core.
Data: Ensure your master data, transactional data, and historical data are clean, complete, and aligned with the standard data models. Avoid unnecessary Z-tables, unused fields, and inconsistent records.
Operations: Establish governance, monitoring, and operational discipline so that the clean core remains clean over time, not just at go-live but throughout the lifecycle.
How to apply Clean Core in practice
On-stack vs Side-by-Side extensibility
One of the paradoxes is that “customisation” doesn’t go away; you just shift it. Two major approaches:
On-stack (in-app) extensions: Light modifications or custom fields that run in the same stack as S/4HANA but follow SAP’s extensibility rules. Best for UI tweaks, small logic changes, and custom fields.
Side-by-side extensions (via BTP or external apps): Build custom services, integrations, portals, and AI-driven logic outside the core ERP, and connect them via APIs/events. This decoupling ensures your core remains unmodified and upgrade-safe.
Migration and Transformation Strategy
Whether you’re moving from legacy SAP ECC to S/4HANA or modernising an existing S/4 landscape, a clean core mindset must be baked into your strategy. For example:
During Greenfield (new implementation), you can design with clean-core from day one: adopt standard processes, limit core custom code.
In a Brownfield (conversion/migration) scenario, you may inherit years of customisation. The journey then becomes one of rationalisation: identify custom code, assess its relevance, refactor/migrate where needed, and move extensions out of core.
Guiding Principles for Execution
Default to side-by-side unless there is a compelling reason for on-stack.
Use governance frameworks: assess custom code for upgrade stability, comply with clean-core level models (for ABAP etc).
Measure and monitor track KPIs such as the number of custom objects, upgrade readiness, defects caused by core modifications, and time to deploy new features.
Build a culture of standard-first: train business users and IT to ask, “Can we use standard SAP functionality?” before “let’s customise”.
Use SAP-provided content: use the pre-built integration content, best-practice processes, accelerators such as those in the SAP Business Accelerator Hub.
Benefits of Clean Core Strategy
When you position the Clean Core strategy to business / executive stakeholders, focus on these differentiators:
Faster time-to-value: Because fewer dependencies inside the core, you can roll out new processes, innovations, and modules faster.
Lower risk in upgrades: Clean core = less custom-code impact every time you upgrade; less testing overhead; fewer surprises.
Reduced cost of ownership: Over time, technical debt decreases; maintenance and support costs drop; the system becomes easier to manage.
Innovation leverage: With a stable core, you can more easily adopt AI/ML, advanced analytics, IoT, BTP-driven services, turning your ERP into a springboard, not a barricade.
Scalability & agility: Standardised data and processes enable you to move globally, roll out faster, and integrate mergers or acquisitions with less effort.
Better alignment with SAP’s roadmap: Since SAP is increasingly cloud-first, modular, and innovation-driven, a clean core means you are aligned with their direction rather than resisting it.
How Prolifics can help you adopt Clean Core
At Prolifics, we understand that “Clean Core” represents not just a technical initiative but a strategic transformation, aligning people, process, and technology. Here’s how we partner with you:
Readiness assessment: We help you assess your current ERP landscape for custom code, integrations, data bloat, and non-standard processes.
Rationalisation roadmap: We craft a pragmatic plan to clean up your core, identifying custom objects, prioritising extensions that need to be moved side-by-side, and building governance models.
Architecture design: We define the blueprint, deciding what to extend on-stack vs side-by-side, how to leverage BTP, events & APIs, how to integrate cloud services, and prepare for S/4HANA (on-premise or cloud) or RISE-with-SAP scenarios.
Implementation & delivery: Using our global delivery and innovation centres, we implement the plan, refactor custom code, build extensions outside the core, adopt standard SAP best practices, harmonise data and processes, and test upgrades proactively.
Continuous governance and value realisation: We don’t just deliver the project, we embed governance, tracking, and continuous improvement so that your core remains clean and agile long after go-live.
Conclusion: Make Clean Core your foundation for innovation
In an environment where business models shift rapidly, digital transformation is table-stakes, and cloud/AI adoption is mandatory, you cannot afford to have an ERP system that is weighted down by legacy customisation, tangled integrations, and data inconsistencies. The Clean Core strategy offers a clear path from monolithic, difficult-to-upgrade ERP landscapes into agile, innovation-friendly ecosystems.
Whether you’re planning a move to S/4HANA, migrating to the cloud, or modernising an existing installation, start with the question: “How clean is our core?” Then ask: “How many of our extensions are decoupled, upgrade-safe, and side-by-side?”
With the right partner, who brings the technical mastery, industry experience, and the global delivery scale, you can turn your ERP from a drag on your business into a springboard for innovation. When the core is truly clean, your organisation is free to focus on differentiation, growth, and value, not patching yesterday’s problems.
At Prolifics, we’re ready to help you take that leap.
Empower Your Testing with Production-Grade Confidence
Modern enterprises face a critical challenge, accelerating software delivery while keeping sensitive data secure. Tidium by Prolifics transforms this paradox into performance. It’s an AI-powered Test Data Management (TDM) solution that delivers production-quality test data without compromising on security, speed, or compliance.
Tidium cuts delays, reduces costs, and drives measurable ROI, empowering teams to test smarter, deliver faster, and innovate fearlessly.
Built for enterprises that demand speed, scale, and security, Tidium enables continuous innovation with: ✅ AI-based data classification and PII masking ✅ Role-based access and multi-database support ✅ Seamless CI/CD integration for continuous testing ✅ Automated, compliance-ready workflows
With Tidium, you gain intelligence, compliance, and confidence, ensuring every deployment delivers measurable business value.
Download the One-Pager and discover how Tidium by Prolifics brings intelligent automation and data integrity together for enterprise-grade results.
Scaling in the fast-paced FMCG sector demands more than just product innovation, it requires intelligent systems that simplify operations, accelerate decisions, and support compliance at every level. That’s exactly what Prolifics delivered for a leading personal care manufacturer navigating legacy SAP infrastructure and complex data challenges.
Through a tailored SAP S/4HANA Cloud Private Edition implementation, Prolifics modernized core business functions, automated invoice processing, and integrated e-Invoice and e-Way Bill systems for seamless compliance. SAP Analytics Cloud unlocked real-time insights, while custom ABAP enhancements improved visibility and control across finance, sales, supply chain, and production.
The transformation reduced operational costs, simplified data structures, and empowered faster, smarter decisions. With a flexible cloud setup, the business is now equipped to scale confidently, respond to market shifts, and drive innovation across its product portfolio.
At Prolifics, we turn vision into value, faster. With over 45 years of digital engineering and consulting excellence, we help FMCG leaders transform with agility, intelligence, and impact.
Download the full case study to see how Prolifics helps consumer brands build resilient, growth-ready enterprises.
In the heart of Maharashtra’s agro industry, a leading enterprise producing sugar, spirits, and renewable power was struggling to keep pace with its own growth. Manual operations, siloed systems, and disconnected data slowed down every step, from sourcing sugarcane to delivering ethanol to oil corporations.
That’s when Prolifics stepped in.
With over 45 years of global technology leadership, Prolifics empowered the client to move from legacy chaos to a seamlessly connected, intelligent enterprise powered by SAP S/4HANA Cloud Public Edition. Through design thinking workshops, data unification, and process automation, we modernised their entire value chain, covering finance, procurement, production, sales, and compliance.
The result?
100% transparency across processes
50% faster approvals and reconciliations
Real-time insights driving smarter business decisions
Automated GST/TDS compliance and reporting
This transformation didn’t just modernise operations, it redefined what digital efficiency means in the agro-industrial sector.
Prolifics helped turn a traditional manufacturing ecosystem into a data-driven powerhouse, future-ready, efficient, and built for growth.
Discover how Prolifics digitised an agro manufacturing giant with SAP S/4HANA Cloud.
2026 is emerging as a landmark year for Agentic AI in Enterprise. For decades, enterprises have chased automation and intelligence through traditional AI, robotic process automation, and generative tools. But the next era belongs to Agentic Artificial Intelligence, AI that doesn’t just generate insights or follow instructions, but acts with purpose, autonomy, and accountability.
New IDC research outlines how agentic AI will reshape strategy, workforce, and innovation across global enterprises by 2030. IDC forecasts that by 2030, 45% of organizations will orchestrate AI agents at scale, embedding them across business functions.
This evolution is not just another step in digital transformation. It’s a leap toward AI-driven enterprise intelligence, where decision-making, execution, and optimization are seamlessly orchestrated by intelligent agents. Businesses are moving from “AI that assists” to “AI that achieves.”
What is Agentic AI?
At its core, Agentic AI is the evolution of AI beyond “assistants” into “agents” that can perceive, reason, plan, and act with minimal human supervision.
“Traditional AI systems are designed to analyse data, make predictions, or generate content. However, Agentic AI goes a step further by enabling systems to take autonomous actions …”
Key traits of Agentic AI include:
Autonomy: Agents perform tasks without human-in-the-loop for every decision.
Real-time decision making: Agents monitor evolving environments and make decisions on the fly.
Adaptability & learning: Agents learn from feedback and adjust behaviour over time.
Multi-agent collaboration: Agents interact with one another, coordinate workflows, and form dynamic orchestration networks.
Put simply, if earlier generations of AI were “analysts” or “generators,” Agentic AI is the “doer”, agents that act on behalf of business processes, systems, or people, rather than merely responding to them.
Why Now? The Drivers of Agentic AI Adoption
Several powerful market and technology trends are converging to make Agentic AI not just possible, but essential for competitive enterprises:
Hyper automation demand: Businesses want to automate end-to-end processes, not just discrete tasks. Agentic AI enables systems that coordinate across processes, make decisions, and act, versus legacy automation, which follows static rules.
Real-time intelligence: In fast-moving markets (supply chain, security, IT ops), decisions must be made in the moment. Agentic agents enable continuous perception → reasoning → action loops.
Data & AI maturity: Enterprises are building strong data foundations and are comfortable with AI/ML models. Now the question becomes, how do we embed intelligence into operations and workflows? Agentic AI is the logical next step.
Scale and integration: AI is no longer an isolated pilot. It needs to be integrated into enterprise platforms, systems, and business processes. Agents that can coordinate across systems are needed.
Transformation Opportunities: Where Agentic AI Makes a Difference
Agentic AI isn’t just a futuristic concept; it’s showing traction across industries and functions:
IT operations/DevOps: Agents monitor infrastructure, detect anomalies, autonomously remediate or escalate issues, thereby shifting from reactive to proactive operations.
Security & risk management: Autonomous agents can analyse threat feeds, coordinate countermeasures, and act faster than human-only modes could.
Supply chain/logistics: Agents react to dynamic conditions (weather, demand swings, bottlenecks), replan routes, shift schedules, and reallocate resources.
Customer service & contact center: Beyond chatbots, agents can coordinate across departments, update systems, take actions (refunds, escalations), freeing humans to focus on higher-value tasks.
Manufacturing/operations: Autonomous agents orchestrate machines, robots, human workflows, closing the loop from sensing → action → feedback.
The Benefits of Agentic AI in Enterprise Decision-Making
The benefits of adopting agentic AI in enterprise decision-making extend far beyond cost efficiency.
Autonomous Decision-Making Agentic systems evaluate vast datasets and act on insights in real time. This eliminates delays between analysis and execution, empowering instant responses to market dynamics.
Continuous Improvement Every decision an agent makes contributes to learning. This feedback loop means the system becomes more precise and adaptive with each cycle.
Operational Efficiency Through AI automation and decision-making, enterprises can delegate time-intensive operations, such as resource allocation or incident management, to intelligent agents.
Enhanced Scalability multi-agent collaboration systems allow enterprises to scale decision-making across regions, departments, and business units without increasing human headcount.
Smarter, Data-Driven Strategies By combining analytics with autonomous action, enterprises gain continuous, contextual insights, driving smarter business strategies and customer engagement.
Next-Generation AI Assistants: Beyond Copilots
The era of digital copilots marked the beginning of enterprise AI adoption. But next-generation AI assistants take the concept further. These assistants no longer wait for user prompts; they anticipate needs, plan responses, and execute solutions independently.
Imagine agents that:
Proactively optimize supply chain routes.
Monitor IT systems for anomalies and resolve them automatically.
Orchestrate marketing campaigns, from content creation to ROI tracking.
This is how businesses are adopting agentic AI for digital transformation, not as isolated tools but as autonomous collaborators that work across business processes.
The Role of LLMs in Powering Agentic AI Systems
At the heart of agentic artificial intelligence lies the role of LLMs in powering agentic AI systems. LLMs act as reasoning engines, enabling agents to understand context, interpret data, and interact naturally with humans and other machines.
Their capabilities extend beyond language; they plan, execute, and reflect. When fused with enterprise data pipelines, these models become the cognitive core of AI-driven enterprise intelligence, enabling systems to handle tasks that once required human judgment.
By 2026, expect LLM-powered agents to manage workflows across marketing, HR, IT, and finance with minimal supervision.
Challenges and Guardrails: Responsible Autonomy
As with any transformative technology, Agentic AI in Enterprise 2026 introduces new challenges. Responsible adoption depends on careful guardrails:
Ethical Oversight: Define clear human-in-the-loop boundaries to prevent unintended actions.
Governance Frameworks: Establish transparent systems for decision auditing and accountability.
Data Security: Protect sensitive information through encryption and controlled access layers.
Bias Mitigation: Continuously test and tune models to ensure fair outcomes.
Regulatory Compliance: Align agentic AI deployments with evolving data and AI regulations worldwide.
These considerations ensure that enterprises balance autonomy with responsibility, building trust among stakeholders, clients, and regulators.
How Agentic AI Will Redefine Enterprises by 2026
Here’s why agentic AI will redefine enterprises by 2026: Agentic AI represents a paradigm shift from efficiency to evolution. Enterprises that adopt it gain systems capable of self-learning, self-adjusting, and self-improving.
By combining automation, analytics, and autonomy, agentic systems enable enterprise AI transformation that drives:
Real-time operational intelligence.
Strategic agility in decision-making.
Predictive and proactive management across business functions.
This transformation marks the rise of the autonomous enterprise, one that not only responds to change but anticipates it.
Preparing for the Agentic Future: What Enterprises Should Do Now
Enterprises that want to lead in the agentic AI era of 2026 should begin laying the groundwork today. Start by reviewing your AI readiness, your data architecture, governance model, and cloud environment will determine your ability to scale. Experiment with focused, measurable pilots such as AI-driven IT support or automated financial forecasting to prove value early. Establish a strong AI governance framework to ensure accountability, transparency, and responsible automation. Empower your teams through continuous learning, helping them collaborate effectively with intelligent agents. Finally, integrate agentic capabilities gradually and strategically, using modular adoption to maintain control and scalability.
Those who act now will be ready to lead as Agentic AI transforms enterprise automation.
The Strategic Role of Prolifics: From Pilot to Production
While the potential is clear, the challenge of Agentic AI is scaling it from isolated proofs to enterprise-grade deployments. That’s where Prolifics comes in – bringing the end-to-end expertise that bridges strategy, data, AI models, platforms and operations:
Prolifics offers industry-specific AI consulting services: Their site notes that they’ve been delivering AI solutions across healthcare, finance, retail, and manufacturing for over 45 years with a team of 2,000+ experts.
They emphasise emerging technologies, including Agentic AI: “We combine deep industry knowledge with agentic AI capabilities to deliver intelligent, adaptive solutions tailored to your unique business goals.”
They cover the full lifecycle: From AI strategy & discovery, through proof-of-value, to MVP development, deployment, scaling and governance. Their framework shows how they help reduce time-to-value, cost, and get ROI.
Domain integration and technology partnerships: Prolifics’ capabilities span data engineering, analytics, cloud, application modernisation, and business automation – all essential foundations for deploying agentic systems.
Responsible, governed AI: Because agentic systems act autonomously, governance, observability, and human-in-the-loop oversight become critical. Prolifics integrates AI governance into its offerings
