About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

ASG Releases Enterprise Orchestrator

Subscribe to our newsletter

ASG Technologies has released Enterprise Orchestrator, a solution delivering cross-technology stack orchestration of enterprise value streams. Spanning everything from mainframes to cloud, the orchestrator provides workload automation and value stream visibility using a centralised console and dashboard. It is also designed to meet client interest in DevOps solutions and is the first of a number of such solutions ASG will deliver this year.

The company says automation of value streams across a technology stack and range of packaged solutions, and the ability to deliver visibility and a seamless whole, outweighs IT approaches requiring access to a number people managing elements of the process such as scheduling, the mainframe and cloud.

With automation in place, data management follows, allowing users to see the status of data, apply metrics, and review outcomes. They can also drill down into value streams to identify any problems.

Jeff Cherrington, vice president of product management at ASG, says part of the solution’s appeal is its contribution to modernising infrastructure, economising and improving efficiencies. The underlying concept is based on lean manufacturing and can be applied across business sectors.

In the financial services sector, where firms typically run a mainframe, other technology elements and multiple software assets, ASG has already won clients interested in use cases such as payments and clearing and settlement. Cherrington comments: “There is a burden in ensuring these processes, including data delivery, work correctly. Enterprise Orchestrator can help here.”

The solution is available for on premise implementation, with managed service and cloud options expected to follow. Its key features include: integration of critical packaged software into enterprise value streams, including SAP, Oracle, Hadoop, Microsoft SQL Server Information Services and OneDrive, Amazon S3 and Informatica; managing workloads that execute on a mainframe; distributed scheduling through a centralised console with dashboard capabilities; a single view of real-time value stream status and progress; and an intuitive graphical interface for designing and visualising value stream orchestration via a bowser.

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: End-to-End Lineage for Financial Services: The Missing Link for Both Compliance and AI Readiness

8 October 2025 10:00am ET | 3:00pm London | 4:00pm CET Duration: 50 Minutes The importance of complete robust end-to-end data lineage in financial services and capital markets cannot be overstated. Without the ability to trace and verify data across its lifecycle, many critical workflows – from trade reconciliation to risk management – cannot be...

BLOG

Rethinking Data Management in Financial Services: Virtualisation Over Static Storage

By Thomas McHugh, Co-Founder and Chief Executive, FINBOURNE Technology. In Financial Services (FS), data management has long been centred around traditional database storage. However, this approach is fundamentally misaligned with the nature of FS data, which is process-driven rather than static. The industry needs a shift in perspective – one that prioritises virtualisation over rigid...

EVENT

TradingTech Briefing New York

Our TradingTech Briefing in New York is aimed at senior-level decision makers in trading technology, electronic execution, trading architecture and offers a day packed with insight from practitioners and from innovative suppliers happy to share their experiences in dealing with the enterprise challenges facing our marketplace.

GUIDE

AI in Capital Markets: Practical Insight for a Transforming Industry – Free Handbook

AI is no longer on the horizon – it’s embedded in the infrastructure of modern capital markets. But separating real impact from inflated promises requires a grounded, practical understanding. The AI in Capital Markets Handbook 2025 provides exactly that. Designed for data-driven professionals across the trade life-cycle, compliance, infrastructure, and strategy, this handbook goes beyond...