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.

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.

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.

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.

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.

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.

Drawing on agentic AI deployments across financial services, life sciences, investment management, and technology sectors.

Building a Trusted, Conversational Data Layer for Financial Services  Financial services companies rely on data to operate. Things like credit ratings are based on data and market intelligence is built using data. The systems that support these things need to be easy to see, secure and well managed. But the information needed to manage all […]

AI Practitioner’s Guide to Building Production-Ready LLM Applicationss Most enterprise LLM projects stall between pilot and production. The difference is rarely the model, it is the architecture. This guide synthesizes what we have learned across 35+ enterprise implementations, organized into seven application patterns we have repeatedly delivered. The focus is on the decisions that determined […]

In a rapidly evolving universe driven by technology, Altimetrik accelerates change by enabling digital business transformations. Our unique approach fosters growth, profitability, and significant business value for some of the world’s most innovative brands. By simplifying complex processes and integrating cutting-edge solutions, we empower businesses to adapt and thrive in the digital era.

Learn more about our digital business enablement services at altimetrik.com.

In this video, discover how Altimetrik’s Digital Business Methodology (DBM) empowers financial services, pharmaceutical, and life sciences companies to navigate complex regulatory landscapes. By implementing robust data management and security measures, Altimetrik ensures that your data remains reliable, secure, and traceable across the organization. With a proven track record of delivering results for clients at various stages of digital maturity, Altimetrik positions your business for success in today’s compliance-driven environment.

Learn more about Altimetrik’s Digital Business solutions at altimetrik.com

Join Martin Zimmerer, Director of Channel Sales at Snowflake, as he delves into the essence of digital business. Emphasizing the importance of data management, Martin discusses how having control over your data—ensuring its consistency and accessibility to key stakeholders—forms the foundation of a successful digital enterprise. Learn how mastering your data can drive innovation and efficiency in today’s digital landscape.