Our unique approach to connecting your automation ecosystem.
Modern enterprises rely on a growing ecosystem of automation, orchestration and workflow technologies. Traditional Workload Automation platforms now coexist with cloud-native services, data engineering pipelines, AI workflows, Business Process Management (BPM), Robotic Process Automation (RPA), Intelligent Document Processing (IDP), application-specific workflow engines and platform automation tools.
Examples include AutoSys, Automic, Control-M, Stonebranch Universal Automation Center, Apache Airflow, AWS Step Functions, Amazon EventBridge, Azure Data Factory, Azure Logic Apps, Google Cloud Workflows, Cloud Composer, Databricks Workflows, Kubernetes-based automation, CI/CD pipelines and many other specialised platforms.
Each technology serves a valuable purpose. However, as organisations adopt new platforms and cloud services, these solutions often evolve into disconnected “Islands of Automation”. While each island may operate effectively within its own domain, the lack of end-to-end visibility, orchestration and governance across the wider automation landscape can lead to operational silos, duplicated effort, inconsistent support models, delayed processes and increased business risk.
Every new generation of technology introduces new ways to automate work. Organisations rarely replace existing automation platforms when adopting cloud, data, AI or application-specific solutions. Instead, they extend their automation landscape by adding new services and platforms alongside existing investments.
The result is an increasingly diverse ecosystem spanning enterprise schedulers, cloud-native orchestration services, data engineering platforms, AI workflows, application automation, DevOps pipelines and business process automation. While each platform delivers value, managing them collectively becomes increasingly complex.
We work with both traditional enterprise schedulers and modern cloud-native orchestration platforms, helping organisations deliver end-to-end automation across mainframe, distributed, cloud, data and AI environments.
Whether your organisation relies on traditional Workload Automation platforms such as AutoSys, UAC, Automic and Control-M, or cloud-native technologies including Apache Airflow, AWS Step Functions, Azure Data Factory, Google Cloud Workflows, Kubernetes and Databricks, we help create the visibility, governance and orchestration needed to manage automation as a single enterprise capability.
Since 2007, Extra Technology has specialised in enterprise orchestration, Workload Automation and automation observability. Since becoming part of BP3 Global in 2022, our clients have gained access to one of the industry’s broadest automation consulting practices, spanning enterprise automation, process orchestration, intelligent automation and AI-powered solutions.
Together, Extra Technology and BP3 help organisations connect and govern diverse automation environments, including enterprise schedulers, cloud-native workflow services, data engineering platforms, AI and Agentic AI solutions, Intelligent Automation, RPA, Intelligent Document Processing (IDP), Business Process Management (BPM), Process Orchestration, Low-Code platforms and Process Intelligence.
Rather than replacing existing investments, we help organisations maximise the value of the technologies they already own. By improving visibility, standardising governance and orchestrating processes across multiple platforms, we create a unified automation ecosystem that delivers greater operational efficiency, resilience and business agility.
Technology leaders often inherit a collection of automation technologies acquired over many years. Each platform may be highly effective, but ownership is frequently fragmented across teams. This can lead to siloed thinking, inefficient handovers, duplicated effort and limited visibility into end-to-end business processes.
One team may understand Workload Automation. Another may specialise in RPA. A third may manage BPM or cloud automation. Without a joined-up strategy, organisations struggle to exploit the full value of their automation investments.
Business stakeholders rarely care which technology executes a process. They care about outcomes, service levels, compliance, customer experience and operational resilience.
They want confidence that critical business services are running as expected, that potential issues will be identified before service levels are breached and that support teams have the visibility needed to resolve problems quickly.
Effective observability provides end-to-end visibility across business processes that span multiple automation platforms. Depending on the environment, this may be delivered through workload analytics platforms, process intelligence technologies, enterprise monitoring tools or bespoke dashboards.
The objective is a single operational view of critical business services rather than isolated views of individual technologies.
The most successful automation strategies do not attempt to force every requirement into a single platform.
Workload Automation excels at enterprise-scale orchestration. RPA excels at user-interface automation. BPM coordinates business processes. IDP automates document-centric workflows. AI supports decision-making and optimisation.
The objective is not technology consolidation. The objective is intelligent coordination across technologies.
Many organisations possess a fully stocked toolbox of automation technologies, yet individual teams may only be familiar with one or two tools. Problems arise when the wrong technology is selected simply because it is the tool most familiar to the team involved.
Successful automation strategies focus on understanding the strengths of each technology and selecting the most appropriate solution for the requirement at hand.
A major financial institution approached Extra Technology seeking a large-scale RPA implementation. Following discovery workshops, our consultants identified that the underlying requirement was actually an enterprise Workload Automation challenge.
By leveraging existing automation investments and introducing orchestration between platforms where appropriate, the organisation achieved a more scalable, supportable and cost-effective solution.
A large pharmaceutical organisation relied heavily on workflow capabilities embedded within a core business platform. While effective within that application, the organisation struggled to automate and monitor processes spanning multiple systems.
The challenge was not a lack of automation. The challenge was a lack of orchestration, observability and governance across the wider automation ecosystem.
Since 2007, organisations across financial services, retail, healthcare, manufacturing, telecommunications and the public sector have trusted Extra Technology to deliver automation expertise.
Today, as part of BP3 Global, we combine deep Workload Automation knowledge with broader expertise spanning Intelligent Automation, BPM, Low-Code, AI and Process Intelligence. This unique combination allows us to bridge the Islands of Automation in a practical, vendor-neutral and business-focused way.
No. Most organisations benefit from multiple specialist technologies.
Through an appropriate combination of observability, analytics, monitoring and process intelligence solutions.
Discovery—understanding technologies, ownership, dependencies and business processes.