Requests arrive through too many doors
Email, forms, attachments and system records can all start the same type of work. Teams create local trackers because no single case follows the request from intake to resolution.
Move work from request to resolution without losing control
IBM Cloud Pak for Business Automation brings workflows, decisions, documents and case work into one modular platform. Multishoring designs the path for routine work and the exceptions around it, then implements the capabilities your first process actually needs.

Cloud Pak for Business Automation is a modular platform for workflow, decisions, content, document processing, process insight and repetitive tasks. A useful implementation may start with one of those capabilities and add others only where the process requires them.
A supplier request may need document capture, a policy decision and an approval workflow. A service case may need content, deadlines and flexible next steps. A stable legacy task may need RPA at the final mile. We map the work before selecting the components, so the first release solves a defined operational problem instead of creating another platform program.
Manual work is not always the problem. The bigger risk is work moving between people, documents and systems without a shared view of its status, rules or evidence.
Email, forms, attachments and system records can all start the same type of work. Teams create local trackers because no single case follows the request from intake to resolution.
Employees classify files, copy fields and check whether the required evidence is present. Errors appear later, when another team or system depends on that data.
Approval thresholds and eligibility rules are buried in code, spreadsheets and team knowledge. The same case can receive a different answer depending on who handles it or which system is used.
A task sits in a mailbox with no clear owner, due date or escalation path. Everyone can see that the overall process is slow, but nobody can isolate where work is waiting and why.
Routine work follows the system. Missing documents, conflicting data and policy exceptions go back to email and spreadsheets, outside the audit trail and performance view.
The product mix depends on your deployment, licenses and existing IBM estate. These capability groups describe the job each part of the platform performs.
Coordinate system steps, human tasks, deadlines and escalations. Use a defined workflow for repeatable work and case management when the next action depends on information that arrives during the case.
Model, test and deploy repeatable decisions as governed services. Policy owners can change approved logic without rebuilding the surrounding process whenever a threshold or rule changes.
Manage documents, records, versions, access and retention with the business context that gives the content meaning. A file becomes part of a controlled case instead of another detached attachment.
Classify forms, PDFs, scans and other content, then extract the useful information. Route uncertain results to a person for validation before the data drives a decision or action.
Compare actual process paths and identify where waiting, rework or repeated exceptions affect the outcome. Choose improvements from evidence rather than the documented process alone.
Use a bot for repeatable work in an interface with no practical API when the screen and rules are stable enough to support it. Keep monitoring, exception handling and ownership around the bot.
One process can use several patterns. The decision depends on data completeness, policy certainty, risk and how much judgment the exception requires.
Use straight-through processing when the required information is present, the rule is explicit and the outcome is safe to automate. People supervise the process and handle cases outside the rule.
Route a task to the right person with the documents, prior actions, rule result and due date attached. The workflow manages ownership and timing; the person contributes judgment.
Use a case model when new evidence changes what should happen next. The team can add tasks, request documents or escalate an issue without moving the work outside the governed case.
Separate repeatable business logic from the systems that call it. A shared decision service reduces conflicting implementations and gives policy owners a controlled way to release changes.
Classify the content, extract useful fields and connect the original document to the case. Use human validation when confidence is too low or the decision requires interpretation.
Let RPA complete a narrow, rules-based action when no suitable service interface exists. Keep the workflow responsible for business state, retries and the exception path.
Senior architects and process specialists map one priority operation, test its fit with CP4BA and define a bounded first release.
Trace the real path from intake to resolution, including actors, documents, systems, wait states, rework and variants that leave the standard flow.
Identify repeatable rules, approval thresholds, document classes, evidence, human review points and controls that cannot be lost during automation.
Match the work to workflow, case, decision, document, content or RPA capabilities. Define coexistence, integrations and boundaries for AI-assisted actions.
Set the first-release scope, success measures, dependencies, risks, ownership and next process candidates, including what should not be automated yet.
Business automation touches systems, data and planning, but it should not make one platform responsible for every layer. We define the hand-offs so the process can evolve without hiding ownership.
ERP, CRM, IBM Z, IBM i and line-of-business applications continue to own the records and transactions they handle well. CP4BA coordinates work around them.
CP4I carries APIs, messages, events and files. CP4D supplies governed data, quality, lineage and reusable data products for the process.
Workflow, decisions, documents and case management keep the process state visible. Routine cases move automatically while exceptions retain an owner and evidence.
Planning Analytics can provide approved plans, limits and scenarios. watsonx Orchestrate helps people and agents find context and trigger permitted actions.
Automating a task can save seconds while the case still waits for days. The target model connects work, rules, content and evidence around the outcome the process exists to deliver.
| Decision dimension | Fragmented automation | Multishoring on IBM Cloud Pak for Business Automation |
|---|---|---|
| Starting point | A tool or repetitive task | The process outcome, variants and exception load |
| Intake | Email, forms and attachments create separate queues | Requests enter a controlled case with required context |
| Decisions | Rules sit in code, spreadsheets and team knowledge | Reusable, tested decision services apply approved policy |
| Documents | Files are copied between inboxes and systems | Content stays connected to the case, decision and retention policy |
| Human work | A person receives a task and searches for context | The task arrives with evidence, rule result and allowed next actions |
| Exceptions | Difficult cases leave the designed workflow | Exceptions have an owner, path, due date and escalation rule |
| RPA | A bot becomes the process | A bot performs one controlled last-mile action |
| Measurement | Task count and bot utilization | Resolution time, straight-through rate, rework and exception causes |
Reliable automation does not force every decision into code or hand every action to an AI agent. It gives each type of work an explicit control boundary.
Eligibility, thresholds, routing and policy checks belong in decision services when the same input should produce the same explainable result.
A person reviews ambiguous evidence, sensitive exceptions and high-impact actions with the reason and context required to decide.
Define which actions an agent may take, when approval is required, what confidence threshold applies and how the process recovers.
Track resolution time, straight-through rate, rework, SLA performance and referral reasons to see whether the operation improved.
These projects were not Cloud Pak for Business Automation implementations. They show Multishoring’s experience in making operational work more visible, controlled and adaptable around existing systems.
We moved a global BizTalk document-exchange platform to a hybrid Azure architecture and added the iTrack error-handling tool, which cut the data chaos across the estate.
We migrated a BizTalk integration solution to Azure Logic Apps and realigned the data flows to a new business structure after the acquisition.
A three-hospital health system replaced blind-spot monitoring with a single view of its Oracle Health interfaces, so failures get caught before they reach operations.
The first release should improve a complete operational outcome. Once the workflow, decision and exception model works in production, its reusable parts can support adjacent processes.
Document variants, documents, decisions, systems, roles and exception causes. Agree how success will be measured before changing the workflow.
Implement the smallest combination of workflow, decision, content and document capabilities that can deliver the target outcome.
Publish shared decisions, document models, task patterns and integrations for controlled reuse across adjacent processes.
Establish release ownership, monitoring, incident paths and policy change controls, then transfer operating knowledge to the internal team.
“The easy path is rarely where an automation program succeeds or fails. We map the decisions, documents and exceptions first, then choose what should run automatically and where a person needs to stay in control.”
Bring one operation where documents, approvals, business rules or exceptions create avoidable waiting and rework. A senior automation architect will outline the likely pattern, the IBM capabilities involved and the questions to answer before a pilot.
IBM Cloud Pak for Business Automation is a modular platform for workflow, case management, operational decisions, content, document processing, process insight and robotic process automation. Organizations can start with the capabilities one process needs and add others as the automation estate develops.
No. A first implementation may need workflow and decision services, or document processing and content, without using the full portfolio. The right scope depends on the process, current IBM licenses, deployment model and systems that remain in place.
No. Defined workflows suit repeatable work, while case management supports operations where new information changes the next step. A single solution can automate routine cases and give people more flexibility for exceptions.
Cloud Pak for Integration connects applications through APIs, messages, events, files and application flows. CP4BA manages the work that follows: tasks, documents, decisions, deadlines and exceptions. They often work together, but they solve different problems.
Cloud Pak for Data can provide governed data, quality, lineage and reusable data products. CP4BA uses that context inside operational workflows and decisions. CP4D prepares and governs the data; CP4BA controls how work progresses around it.
watsonx Orchestrate can help people and agents find information, summarize work and trigger approved actions. CP4BA keeps the workflow, state, permissions, decisions and audit trail controlled. The practical question is which actions the agent may take alone and where human approval remains required.
Yes. CP4BA can coordinate work around existing systems rather than replacing them. The implementation still needs explicit interfaces, ownership, error handling and recovery. Where suitable APIs are unavailable, RPA may bridge a narrow, stable task.
Choose a process with a named owner, measurable outcome, visible manual effort and manageable dependencies. It should matter enough to prove value but remain bounded enough to test routine cases, exceptions and recovery end to end.
A useful assessment produces a real process and exception map, a decision and content model, a target capability design and a measurable pilot brief. It should also state which work should remain manual or outside the first release.
IBM documents migration and coexistence paths for existing Business Automation Workflow and Operational Decision Manager environments. The exact path depends on product version, topology, customizations, data, storage and support requirements, so readiness should be assessed before a migration plan is committed.
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