Generated by Rank Math SEO, this is an llms.txt file designed to help LLMs better understand and index this website.

# Altimetrik

## Sitemaps
- [XML Sitemap](https://www.altimetrik.com/sitemap_index.xml): Includes all crawlable and indexable pages.

## Posts
- [Altimetrik Opens Healthcare and Life Sciences Center of Excellence in Hyderabad](https://www.altimetrik.com/news/altimetrik-opens-healthcare-life-sciences-center-of-excellence-in-hyderabad/): Launches PharmaOS as the Center’s first offering, taking clients from concept to validation in a week
- [AI Token Costs: Connecting Spend, Value and Accountability](https://www.altimetrik.com/news/ai-token-costs-connecting-spend-value-and-accountability/): Vikas Krishan, Chief Digital Business Officer and Head of UK and EMEA at Altimetrik, explains in The Fintech Times why rising AI usage does not guarantee better business outcomes. As organisations adopt agentic AI, he calls for clearer links between cost, value and ownership. He also argues that changes to EU AI Act timelines should not delay governance work.
- [Newsweek Spotlights What Makes Altimetrik a Great Workplace](https://www.altimetrik.com/news/newsweek-spotlights-what-makes-altimetrik-a-great-workplace/): Altimetrik CEO Raj Sundaresan is featured in Newsweek, bringing our approach to AI, talent development and workplace culture to a global audience. Recognised among America’s Greatest Workplaces in Tech 2026, Altimetrik puts these commitments into practice through learning, experimentation and meaningful career opportunities. With more than 80% of our workforce having completed foundational AI training, Raj explains how that investment translates into real capabilities. He also discusses the leadership choices that support employee well-being, build trust and help people thrive.
- [From Model Governance to Machine Agency: Governing AI that Acts, Not Just Answers](https://www.altimetrik.com/blog/governing-agentic-ai/): Learn how to govern Agentic AI with human oversight, delegated authority, runtime controls, and accountability to enable secure, responsible enterprise AI.
- [Human Oversight in Pharma AI: Beyond the Human in the Loop](https://www.altimetrik.com/news/human-oversight-pharma-ai-beyond-human-in-the-loop/): Ramji Vasudevan, Head of Health Care & Life Sciences at Altimetrik, writes in Pharmaceutical Market Europe about the need for clear accountability as pharma adopts AI.
- [What the SR 2026 Delay Actually Means for Your ISO 20022 Roadmap](https://www.altimetrik.com/blog/iso-20022-sr-2026-delay/): Swift’s SR 2026 delay changes the ISO 20022 roadmap. Learn what banks need to do now on structured addresses, compliance, data quality and migration.
- [Agentic Regulatory Banking Workflows, Built to Ship: A Reference Architecture for Production-grade BFS Agents](https://www.altimetrik.com/blog/agentic-regulatory-banking-workflows-reference-architecture/): Code generation got fast. Getting an autonomous workflow into a bank's production control environment did not. In Banking & Financial Services (BFS), the blocker is rarely the model; it's trust. A risk officer will not sign off on a system that cannot say why it flagged something, that does its arithmetic inside a language model, or that leaves no audit trail an examiner can open. That is exactly the gap most agentic pilots die in.
Over the last two quarters, we built a portfolio of ten BFS agentic offerings on Alti AIOS™, Altimetrik's AI Operating System, and deployed them on two stacks: Google Cloud with Gemini and AWS with OpenAI. This piece is the architecture and design principle behind them.
- [How Zero Trust Can Reduce Risk in an AI-Driven Enterprise](https://www.altimetrik.com/news/how-zero-trust-can-reduce-risk-in-an-ai-driven-enterprise/): As AI agents take on a larger role across the enterprise, traditional approaches to access and identity management need to evolve with them. In Forbes Technology Council, Niraj Nagrani- Chief Data & AI Officer, explains why zero trust must extend beyond human users to AI agents and service accounts, with least-privilege and short-lived access built in by design. The real test, he argues, is whether a breach remains contained and its impact stays limited.
- [From Reactive to Predictive: A Guide to Governing Every Artifact Your Enterprise Runs, Powered by JFrog](https://www.altimetrik.com/blog/predictive-artifact-governance-jfrog/): Most organizations can tell you what CVEs they found last quarter. Few can tell you which packages will become a problem next month or which AI skills are running in production without a certified identity. This piece is about closing that gap.
- [Beyond FDEmaxxing: Why Enterprise AI Needs a Multi-Model Architecture](https://www.altimetrik.com/news/beyond-fdemaxxing-why-enterprise-ai-needs-a-multi-model-architecture/): In an authored article for BankInfoSecurity Asia, Farid Roshan- Global Head, AI-Infused Digital, Altimetrik, explores why scaling engineers alone will not solve the enterprise AI challenge.
- [From AI Pilots to Enterprise Scale: What Needs to Change?](https://www.altimetrik.com/news/from-ai-pilots-to-enterprise-scale-what-needs-to-change/): A better AI model won’t fix what breaks between pilot and production. In conversation with ET Edge CIO&Leader, Niraj Nagrani - Chief Data and AI Officer, Altimetrik, explores the foundational shifts enterprises need to scale AI and why the hardest change is ownership.
- [From Evidence to Governed Execution: Unlocking Life Sciences Value with Snowflake and ALTi AIOS™ ](https://www.altimetrik.com/blog/from-evidence-to-governed-execution-life-sciences-snowflake-alti-aios/): Here is something most life sciences organizations already know but rarely say out loud: Snowflake did its job. The data lake is full. Batch records, deviation logs, CAPA histories, COA repositories, clinical trial evidence, it is all there, unified, queryable, and beautifully governed. And yet the quality director is still chasing approvals through email threads. The compliance team is still manually cross-referencing batch records against specifications before a release decision. The CAPA cycle is still measured in weeks, not hours. Data centralization was never the finish line. It was the foundation. The question now is whether that foundation does work or just sits there.
- [How a Global Chemical Producer Identified $540 Million in Sales Opportunities Across Its Top 25 Customers](https://www.altimetrik.com/case-study/chemical-sales-intelligence/): A leading global chemical producer wanted to generate additional revenue from its top 25 customers. However, account managers lacked visibility into more than one million products distributed across approximately 20 planning units, limiting their ability to identify relevant cross-sell and upsell opportunities.
Altimetrik created a Single Source of Truth that unified product, customer, sales, and market data. Machine learning algorithms analyzed this information alongside geographic restrictions and customer spending capacity, generating actionable recommendations through an intuitive dashboard.
- [Replacing Manual Monitoring Across 2,500+ Stores With Centralized, Data-Driven Operations](https://www.altimetrik.com/case-study/store-monitoring-ai/): A US refrigeration equipment manufacturer manages temperature monitoring across more than 2,500 retail stores manually. The approach drove high equipment downtime, escalating maintenance costs, and left the client unable to control business-critical operations remotely. Altimetrik built a SaaS store monitoring platform with multi-site control, real-time temperature tracking, and detailed alarm/activity history. It added secure role-based remote diagnostics and CRM integration that auto-generates work orders from business rules, replacing manual monitoring with centralized, data-driven operations across the store estate.
- [Turning Refrigeration Failures into Predictive Intelligence Across a 100,000-Container Global Cold Chain](https://www.altimetrik.com/case-study/predictive-cold-chain/): A Fortune 100 manufacturer was losing product and revenue to refrigeration equipment failures across a massive global cold chain fleet. Scarce technicians, long container waits at dock locations, and $150B industry-wide food waste annually made reactive monitoring untenable. Altimetrik co-created a Microsoft Azure cold chain solution that processes data from 100,000+ global containers using predictive algorithms across 40+ factors and 10 alarm types, enabling real-time intervention to prevent spoiled shipments.
- [Transforming a Global Machine Manufacturer as an AI and Automation Player](https://www.altimetrik.com/case-study/industrial-ai-machine-automation/): A leading machine tools and textile machinery manufacturer needed to meet growing customer demand for greater automation, driven by operator skill gaps and the need to reduce labour dependency. At the same time, competitors were differentiating their offerings by embedding AI/ML capabilities directly into their machines.
Altimetrik helped the manufacturer define and execute an enterprise-wide AI strategy, beginning with an AI readiness assessment, competitor benchmarking, and use-case prioritization. This was translated into an actionable roadmap across data, technology, and talent, followed by the deployment of edge AI solutions across its machine tool and textile machinery portfolios and a GenAI-powered intelligent service centre.
- [How a Global Biopharmaceutical Company Unified Manufacturing Intelligence and Positioned Operations for Multi-Million-Dollar Savings](https://www.altimetrik.com/case-study/how-global-biopharma-manufacturing-intelligence-multi-million-dollar-savings/): A global biopharmaceutical company operating in more than 80 countries needed to improve visibility and decision speed across its complex manufacturing network. Operational data was fragmented across multiple systems, forcing teams to spend significant time consolidating information before acting.
Altimetrik developed a Generative AI-powered manufacturing intelligence solution on AWS. The platform unified structured and unstructured data and enabled users to retrieve real-time insights through natural-language conversations. This accelerated operational decisions and created opportunities for substantial production and supply-chain savings.
- [How a Premium Apparel Company Reduced ML Deployment Time by 50 Percent and Generated Half a Million Daily Forecasts](https://www.altimetrik.com/case-study/how-a-premium-apparel-company-reduced-ml-deployment-time-by-50-percent-and-generated-half-a-million-daily-forecasts/): A premium apparel company needed to integrate machine learning into merchandising and planning decisions across assortment, procurement, replenishment, and sales. Disconnected forecasting models, lengthy experimentation, and limited production controls prevented the business from using predictive intelligence effectively.
Altimetrik developed a cloud-native MLOps platform that integrated model development, deployment, monitoring, and retraining with the client's data ecosystem. The solution accelerated production releases, improved forecast accuracy, and enabled agile inventory decisions across regions and channels.
- [How a Leading North American Grower Increased Forecast Accuracy by 30% and Reduced Harvest Waste by 20%](https://www.altimetrik.com/case-study/how-a-leading-north-american-grower-increased-forecast-accuracy-by-30-and-reduced-harvest-waste-by-20/): One of North America’s largest premium fresh-tomato growers needed to improve six-week yield forecasting across its year-round greenhouse operations. Manual planning relied heavily on individual expertise, resulting in inconsistent forecasts and limited use of available production data.
- [New Age Digital Platform for Omnichannel Wealth and Health Plans](https://www.altimetrik.com/case-study/new-age-digital-platform-for-omnichannel-wealth-and-health-plans/): Turning low plan engagement into confident retirement decisions through a seamless omnichannel digital experience
- [Insurance Mainframe Core Modernization to Open Stack System on Cloud](https://www.altimetrik.com/case-study/insurance-mainframe-core-modernization-to-open-stack-system-on-cloud/): Altimetrik Fortune 100 insurer to modernize their Core Mainframe application and migrate it to the cloud improving integration & customer experience, reducing total cost of ownership by 35%, and enabling 30% faster go-to-market.
- [Unlock Unprecedented Policy Delivery Speeds](https://www.altimetrik.com/case-study/unlock-unprecedented-policy-delivery-speeds/): Our AI-driven solution accelerates insurance request issuance, enhancing efficiency and reducing processing time.
- [How a Leading Farm-to-Table Conglomerate Improved On-Time Deliveries by 30%](https://www.altimetrik.com/case-study/how-a-leading-farm-to-table-conglomerate-improved-on-time-deliveries-by-30/): A leading farm-to-table conglomerate needed greater visibility across production, quality, logistics, equipment, wastage, and sales operations spanning five continents. Disconnected data sources, multiple legacy ERP editions, and paper-based processes limited efficiency and slowed decision-making.
- [Newsweek Recognizes Altimetrik as America’s Greatest Workplaces in Tech 2026](https://www.altimetrik.com/news/altimetrik-named-to-newsweeks-americas-greatest-workplaces-in-tech-2026/): DETROIT — September 22, 2026 — Altimetrik, an AI engineering company, has been named Newsweek’s America’s Greatest Workplaces in Tech 2026 list. The annual ranking, produced in partnership with Plant-A Insights Group, evaluates U.S. technology employers across 10 dimensions of employee satisfaction, drawing on more than 287,000 company reviews from over 129,000 employees in the technology sector.
- [The Industry Patches. We Prevent — and Prove.](https://www.altimetrik.com/blog/the-industry-patches-we-prevent-and-prove/): A different approach to security modernization: prevent what you can, prioritize what matters, automate what makes sense, and prove continuously that your controls are working.
- [Evals in Production](https://www.altimetrik.com/white-papers/evals-in-production/): Drawing on agentic AI deployments across financial services, life sciences, investment management, and technology sectors.
- [AI Governance in Financial Services: Building Trust for Enterprise Adoption](https://www.altimetrik.com/news/ai-governance-in-financial-services-building-trust-for-enterprise-adoption/): In his latest article for Finextra, Vikas Krishan,Chief Digital Business Officer & Head of UK & EMEA, explores how financial institutions can build greater confidence in AI by strengthening the human systems around it. He argues that effective AI governance is not about slowing adoption, but about enabling people to use AI with greater judgment, accountability and trust, helping organizations move from experimentation to responsible enterprise-scale impact.
- [Merchant Consolidation Post-M&A: Integrating Four Acquirers onto One Platform](https://www.altimetrik.com/blog/merchant-consolidation-post-ma-integrating-four-acquirers-onto-one-platform/): Merchant acquiring crossed a threshold in January 2026, when Global Payments completed its $24.25 billion acquisition of Worldpay. The combined company now serves more than 6 million merchant locations, processing $3.7 trillion in payment volume and approximately 94 billion transactions annually across more than 175 countries. That is scale on paper. Scale in production gets decided later, inside the platform integration, where merchants either keep transacting or quietly leave. This is what it takes to merge acquiring platforms without losing a single merchant.
- [From Dreamforce 2026 to Production: How Altimetrik Is Bringing Claudeforce to Financial Services](https://www.altimetrik.com/blog/claudeforce-for-financial-services-advisors-for-relationships-agents-for-everything-else/): A relationship manager at a regional bank has a client meeting at 10 a.m. At 9:15, she opens Financial Services Cloud (FSC) for the customer's household relationships, logs into the core banking system for recent transactions, and finishes in the advisor portal, checking open referrals and service cases. She arrives just in time for the meeting with a summary of information the bank already knew, but no recommendations that will add value to the customer.
- [AI’s Next Leap: When Machines Stop Just Answering and Start Doing](https://www.altimetrik.com/news/ai-next-leap-when-machines-stop-just-answering-and-start-doing/): The Times of India story explores the capabilities of OpenAI’s GPT-6 Astra and the shift from AI systems that simply answer questions to models that can plan, reason, use tools and carry out complex tasks from beginning to end.
- [Scaling Industrial AI Beyond Pilots](https://www.altimetrik.com/news/scaling-industrial-ai-beyond-pilots/): In a conversation with Automation World, Chandra Surbhat - Senior Vice President and Head of Industrial AI and Intelligent Process Operations at Altimetrik, discusses why many industrial AI initiatives struggle to move beyond the pilot stage.
- [Altimetrik Named to Constellation Research ShortList™ for AI Services and Digital Transformation Services](https://www.altimetrik.com/news/altimetrik-named-to-constellation-research-shortlists-for-ai-services-and-digital-transformation-services/): DETROIT — September 8, 2026 — Altimetrik, an AI engineering company, has been named to Q3 2026 Constellation Research ShortList™ for AI Services: Global and Digital Transformation Services (DTX): Global. 
- [How a global fintech leader modernized its platforms and cut costs 30% with GCC-led DevOps](https://www.altimetrik.com/case-study/how-a-global-fintech-leader-modernized-its-platforms-and-cut-costs-30-with-gcc-led-devops/)
- [How a global merchant acquirer modernized its platforms for 50%+ efficiency gains](https://www.altimetrik.com/case-study/how-a-global-merchant-acquirer-modernized-its-platforms-for-50-efficiency-gains/)
- [How a US retirement leader built a JV-run GCC that delivered $153.7M in enterprise value](https://www.altimetrik.com/case-study/how-a-us-retirement-leader-built-a-jv-run-gcc-that-delivered-153-7m-in-enterprise-value/): The Ambition
The company, a US-based leader in retirement services, set out to establish an India GCC that could build a scalable IT and operations engine, reduce vendor concentration risk, accelerate modernization and automation, and drive measurable cost efficiencies.
The Result
Working with Altimetrik through a strategic joint venture, the company scaled the center to more than 2,100 people in about 4 years, delivered $65M in savings, reached 24.8% industry-leading EBITDA, and grew the entity to a $153.7M valuation against a $65M plan.
- [How a commercial genealogy leader modernized its technology and cut $20M+ in annual spend](https://www.altimetrik.com/case-study/how-a-commercial-genealogy-leader-modernized-its-technology-and-cut-20m-in-annual-spend/): The Ambition
The company, a leader in commercial genealogy, set out to rapidly modernize its entire technology landscape, inject operational efficiency, and deliver the scale needed to power ambitious expansion plans and drive enterprise valuation.
The Result
Working with Altimetrik, the company stood up a modern digital foundation, cut cost of ownership by 55% and annual spend by $20M+, eliminated more than 800,000 manual hours a year, and reached 5X platform scale to power its European expansion.

## Pages
- [HCLS Coe](https://www.altimetrik.com/healthcare-and-life-sciences-coe/)
- [Healthcare & Life Sciences Center of Excellence](https://www.altimetrik.com/hcls-center-of-excellence/)
- [The Regional Bank Modernization Playbook](https://www.altimetrik.com/the-regional-bank-modernization-playbook/)
- [Altimetrik AWS Reinvent 2026](https://www.altimetrik.com/events/altimetrik-aws-reinvent-2026/)
- [Altimetrik Agentic](https://www.altimetrik.com/altimetrik-agentic/)
- [Altimetrik BFS agentic v2](https://www.altimetrik.com/altimetrik-bfs-agentic-v2/)
- [HLS Webinar](https://www.altimetrik.com/events/hls-webinar/)
- [Agentic Banking Operations](https://www.altimetrik.com/industries/agentic-banking-operations/)
- [BFS – OpenAI +AWS – AEE](https://www.altimetrik.com/events/agentic-ai-banking-financial-services/)
- [Money 2020](https://www.altimetrik.com/events/money-2020/)
- [Healthcare And life Sciences](https://www.altimetrik.com/industries/healthcare-and-life-sciences/)
- [Sitemap](https://www.altimetrik.com/sitemap/)
- [Altimetrik AI Forum London Brand](https://www.altimetrik.com/events/altimetrik-ai-forum-london-brand/)
- [Thank you](https://www.altimetrik.com/thank-you/regional-bank-playbook/)
- [Reinsurance](https://www.altimetrik.com/reinsurance/)
- [Life & Annuity, Group and Retirement](https://www.altimetrik.com/life-annuity-group-and-retirement/)
- [Property and Casualty](https://www.altimetrik.com/property-and-casualty/)
- [Insurance](https://www.altimetrik.com/industries/insurance/)
- [Banking and Financial Services](https://www.altimetrik.com/industries/banking-and-financial-services/)
- [Dreamforce 2026](https://www.altimetrik.com/events/dreamforce-2026/)
- [AI Engineering (Modernization)](https://www.altimetrik.com/services/ai-engineering-modernization/)
- [ERP and CRM Solutions](https://www.altimetrik.com/erp-and-crm-solutions/)
- [Salesforce Service suite](https://www.altimetrik.com/salesforce-service-suite/)
- [Product Lifecycle Management](https://www.altimetrik.com/product-lifecycle-management/)
- [Snowflake World Tour Chicago](https://www.altimetrik.com/events/snowflake-world-tour-chicago/)
- [Configure Price Quote](https://www.altimetrik.com/configure-price-quote/)
- [Additional ERP Service Suite](https://www.altimetrik.com/additional-erp-service-suite/)
- [JD Edwards ERP Services](https://www.altimetrik.com/jd-edwards-erp-services/)
- [Sap ERP Services](https://www.altimetrik.com/sap-erp-services/)
- [Manufacturing](https://www.altimetrik.com/manufacturing/)
- [Industrial AI](https://www.altimetrik.com/services/industrial-ai/)
- [RTCT 90-Day Advantage Ebook](https://www.altimetrik.com/rtct-90-day-advantage-ebook/)

## Glossaries
- [AI Data Analytics](https://www.altimetrik.com/glossary/ai-data-analytics/): At Altimetrik, we view AI Data Analytics as a strategic enabler for digital business solutions. Our approach combines deep domain expertise with modern data practices to unlock real business value.
- [AI in Finance](https://www.altimetrik.com/glossary/ai-in-finance/): At Altimetrik, we believe AI in finance is not just about automation. It's about building intelligent systems that drive better business decisions and create value across the financial ecosystem.
- [AI in Healthcare](https://www.altimetrik.com/glossary/ai-in-healthcare/): Current and emerging trends shaping AI in healthcare include:
- [Generative AI](https://www.altimetrik.com/glossary/generative-ai/): Generative AI offers multiple advantages for enterprises:
- [AI Agents](https://www.altimetrik.com/glossary/ai-agents/): AI agents are quickly becoming essential across industries and for good reason. Here’s what they bring to the table:
- [AI Marketing](https://www.altimetrik.com/glossary/ai-marketing/): AI Marketing empowers businesses to go beyond traditional campaigns by transforming data into intelligent, adaptive strategies.
- [Artificial Intelligence](https://www.altimetrik.com/glossary/artificial-intelligence/): Artificial Intelligence is more than a technology; it is a catalyst for business evolution.
- [Big Data](https://www.altimetrik.com/glossary/big-data/): Big Data empowers enterprises to move beyond intuition and make evidence-based decisions that accelerate growth and innovation.
- [Business Consultancy](https://www.altimetrik.com/glossary/business-consultancy/): Business consultancy provides clarity, efficiency, and direction in an increasingly complex and data-driven business environment.
- [Blockchain Technology](https://www.altimetrik.com/glossary/blockchain-technology/): Blockchain is redefining how digital enterprises operate by providing a foundation of transparency and trust across networks.