List of IBM Operational Decision Manager Customers
IBM
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Professional Services
293000
$67.5B
Since 2010, our global team of researchers has been studying IBM Operational Decision Manager customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased IBM Operational Decision Manager for Process Mining from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using IBM Operational Decision Manager for Process Mining include: PNC Bank, a United States based Banking and Financial Services organisation with 53859 employees and revenues of $20.81 billion, Asian Paints, a India based Manufacturing organisation with 8056 employees and revenues of $4.14 billion, NHS Blood and Transplant, a United Kingdom based Government organisation with 5400 employees and revenues of $589.0 million, First Canadian Title, a Canada based Insurance organisation with 800 employees and revenues of $450.0 million and many others.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Asian Paints | Manufacturing | 8056 | $4.1B | India | IBM | IBM Operational Decision Manager | Process Mining | 2021 | n/a |
In 2021 Asian Paints deployed IBM Operational Decision Manager to automate rules-based decisioning for sales promotions and GST reconciliation, implementing a Process Mining-aligned solution to simplify trade promotion execution and tax reconciliation workflows. The initiative targeted dealer-facing order capture and finance operations, with explicit scope across field sales teams and the company’s extensive dealer network of more than 60,000 outlets.
The implementation centered on decision management capabilities in IBM Operational Decision Manager, including business rule authoring, decision simulation and runtime decision services exposed to a portal-based sales interface. Rules were configured to calculate discount and promotional schemes from historical ordering, seasonality and dealer credit parameters, and to propose product mixes that optimize dealer revenue and reduce manual evaluation time.
Integrations were explicitly built with Asian Paints’ SAP S/4HANA ERP for transactional sales and purchase data ingestion, and the solution interoperated with the in-house vendor invoice processing platform built on IBM Business Automation Workflow. For GST processing the ODM decision service automatically retrieved purchase invoice records from ERP, compared them to supplier GST returns, generated alerts for mismatches and programmatically blocked payment of flagged vendor invoices in the invoice processing workflow.
Governance and rollout followed a co-creation model with IBM Lab Services delivering the initial decision logic and Asian Paints teams iterating to optimize rules, using agile proofs of concept to validate value before scaling. The deployment explicitly reduced time for GST invoice matching from four days to one day and introduced portal-level transparency for sales teams, enabling faster order completion and streamlined dealer interactions while embedding rule governance and rapid iteration into ongoing operations.
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First Canadian Title | Insurance | 800 | $450M | Canada | IBM | IBM Operational Decision Manager | Process Mining | 2022 | n/a |
In 2022 First Canadian Title implemented IBM Operational Decision Manager as part of an IBM Cloud Pak for Business Automation deployment to introduce process mining and decision automation across its title insurance and mortgage processing operations. The engagement targeted mapping, mining and automating end to end title insurance and mortgage workflows in Canada, with a focus on reducing application turnaround and increasing operational transparency.
The technical footprint included IBM Operational Decision Manager for rule and decision automation and IBM Blueworks Live for process modeling and discovery, both delivered within IBM Cloud Pak for Business Automation. The implementation emphasized formal process mapping and process mining, converting documented workflows into executable decision logic and automated tasks to enable higher rates of straight through processing.
Salient Process acted as the system integrator and performed process mapping and mining activities, explicitly mining operational interactions to identify automation candidates and implement straight through processing where appropriate. Deployment scope covered title insurance and mortgage processing units, and the process mining workstream was used to define decision boundaries and automation triggers for IBM Operational Decision Manager.
Governance activities included modeled process handoffs, decision rule cataloging and operational transparency reporting to support ongoing adjustments to automated flows. Outcomes reported in the IBM case study include cutting new title insurance application turnaround from two weeks to as little as 15 minutes and achieving straight through processing for about 40 percent of interactions where the solution was deployed, improving cycle times and visibility.
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NHS Blood and Transplant | Government | 5400 | $589M | United Kingdom | IBM | IBM Operational Decision Manager | Process Mining | 2016 | n/a |
In 2016, NHS Blood and Transplant in the United Kingdom deployed IBM Operational Decision Manager as a core component of a cloud-hosted organ allocation platform. The work aligns with Process Mining capabilities by combining process capture, orchestration, and decision automation to enable faster adjustments to allocation schemes.
The implementation used IBM Business Process Manager on Cloud for workflow orchestration, IBM Blueworks Live for process capture and optimization, and IBM Operational Decision Manager as the central rules engine. IBM Operational Decision Manager was configured to externalize allocation logic, support rapid rule changes, and drive decision automation within transplant allocation workflows.
Integrations centered on connecting Blueworks Live process models to BPM orchestration and feeding decision logic to the Operational Decision Manager on Cloud, creating a continuous loop of process discovery, model refinement, and executable rules. The platform supported organ allocation processes across NHS Blood and Transplant operations in the United Kingdom, focusing on clinical allocation decisioning and operational coordination between teams.
Governance and process restructuring relied on Blueworks Live for documented process capture and ODM for decision governance, enabling policy owners to update allocation criteria without code changes. Outcomes reported in the source include streamlined allocation changes and a projected increase of roughly fifty liver transplants annually.
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PNC Bank | Banking and Financial Services | 53859 | $20.8B | United States | IBM | IBM Operational Decision Manager | Process Mining | 2024 | n/a |
In 2024, PNC Bank deployed IBM Operational Decision Manager to automate credit and lending decision processes across the United States, positioning the initiative within a Process Mining and decisioning program. IBM Operational Decision Manager served as the central decisioning platform for credit adjudication, underwriting decision services, and automated rule execution across retail and commercial lending workflows.
The implementation automated roughly 50 distinct business processes and enacted over 5 million business rules, indicating heavy use of rule repositories, decision tables, and runtime rule engines typical of an enterprise decision management architecture. Module usage for process-mining and optimization is inferred as part of the broader decisioning program, with process discovery and continuous optimization capabilities aligned to identify and reshape lending workflows alongside the rule automation layer.
Operational scope focused on credit and lending business functions across PNC Bank operations in the United States, embedding decision services into loan review and adjudication paths. Governance was centralized around rule authoring, version control, testing and controlled deployment, with workflow restructuring to move manual loan review tasks into automated decision services and rule-driven exceptions handling.
IBM reported that automating these decision processes reduced manual loan review workload by 80 to 90 percent, an outcome explicitly stated by the vendor, while the deployment scale and modular decisioning design signal sustained use of Process Mining aligned practices for ongoing process optimization. PNC Bank, IBM Operational Decision Manager, Process Mining and credit and lending decisioning are directly connected in this implementation narrative.
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FAQ - APPS RUN THE WORLD IBM Operational Decision Manager Coverage
IBM Operational Decision Manager is a Process Mining solution from IBM.
Companies worldwide use IBM Operational Decision Manager, from small firms to large enterprises across 21+ industries.
Organizations such as PNC Bank, Asian Paints, NHS Blood and Transplant and First Canadian Title are recorded users of
IBM Operational Decision Manager for Process Mining.
Companies using IBM Operational Decision Manager are most concentrated in Banking and Financial Services, Manufacturing and Government, with adoption spanning over 21 industries.
Companies using IBM Operational Decision Manager are most concentrated in United States, India and United Kingdom, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of IBM Operational Decision Manager across Americas, EMEA, and APAC.
Companies using IBM Operational Decision Manager range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 25%, large organizations with 1,001-10,000 employees - 50%, and global enterprises with 10,000+ employees - 25%.
Customers of IBM Operational Decision Manager include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.
Contact APPS RUN THE WORLD to access the full verified IBM Operational Decision Manager customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Process Mining.