Case Management for Shared Services and Back-Office Operations: A Practical Guide

Shared-services and back-office teams often manage some of the most operationally complex work in an organization.

The work may not always be visible to the customer, but it can determine whether the rest of the business functions effectively.

A shared-services team might process:

• Customer or account maintenance requests
• Claims
• Verification cases
• Finance transactions
• HR requests
• Document reviews
• Payment exceptions
• Applications
• Complaints
• Compliance reviews
• Data corrections
• Internal service requests

At small volumes, teams can often manage these activities using email, Excel and manual allocation.

But as the operation grows, managers need much more control.

They need to know:

What work has arrived?

Who should process it?

Who owns it now?

Which cases are getting old?

Which requests are approaching SLA?

What is waiting for follow-up?

Which teams have too much work?

Which processes are performing well?

That is where structured case management becomes valuable.

What Is Shared Services Case Management?

Shared-services case management means treating each request, transaction or work item as a controlled unit of operational work.

Instead of relying on separate spreadsheets, mailboxes and individual reminders, each case follows a defined lifecycle.

A simplified operating model might look like:

Work Received
↓
Classified
↓
Department / Queue Identified
↓
Skill & Priority Evaluated
↓
Case Assigned
↓
Processing Begins
↓
Pend / Hold / Follow-Up if Required
↓
Rework / Reassignment if Required
↓
Case Completed
↓
SLA, Productivity & Quality Measured

The objective is not simply to digitize a tracker.

It is to create a controlled operating environment around the work.

Shared Services Usually Involve Multiple Processes

One of the main challenges in shared services is that a single operation may support many different business processes.

For example, one shared-services organization might handle:

Finance

• Invoice exceptions
• Payment investigations
• Vendor requests
• Reconciliations

HR Operations

• Employee requests
• Documentation
• Benefits queries
• Data changes

Customer Operations

• Account updates
• Servicing requests
• Complaints
• Escalations

Verification

• Document validation
• Identity review
• Application checks
• Background verification

Claims or Transaction Processing

• Initial processing
• Corrections
• Rework
• Follow-ups

These processes may share the same workforce while having very different operating requirements.

That makes a single generic task list difficult to manage.

Worktypes Help Organize Complex Operations

A useful case-management model separates work into logical Worktypes.

Each Worktype can have its own:

• Data fields
• Skills
• SLA
• Priority rules
• Processing requirements
• Expected handling time
• Outcomes
• Reporting structure

For example:

Department: Finance Operations

Queue: Accounts Payable

Possible Worktypes:

• Invoice Exception
• Vendor Query
• Payment Hold
• Duplicate Invoice Review

Another department could use entirely different Worktypes within the same operating environment.

This helps organizations manage multiple processes without forcing every transaction into one generic workflow.

Step 1: Bring Work into a Structured Intake Process

Shared-services work can arrive from many sources.

These may include:

• Shared mailboxes
• Excel files
• CSV files
• Internal portals
• Other business systems
• Customer submissions
• Batch uploads
• APIs
• Manual entry

Whatever the source, the work needs to become structured enough for the operation to manage.

Useful information may include:

• Case ID
• Received date
• Department
• Queue
• Worktype
• Customer or employee reference
• Priority
• Due date
• Current status
• Assigned employee
• Supporting data

The stronger the intake structure, the easier allocation and reporting become later.

Step 2: Route Work to the Right Queue

Not every request should be visible to every team.

The first routing decision may therefore be:

Which department or queue owns this type of work?

For example:

Payroll requests should not enter the same queue as vendor-payment exceptions.

Identity verification should not compete directly with account-maintenance work.

Separating work into appropriate queues gives managers better control over:

• Ownership
• Staffing
• Backlog
• SLA
• Productivity
• Skills

It also helps identify which parts of the operation are under pressure.

Step 3: Match Work with Employee Skills

Shared-services employees often have different capabilities.

One employee may be trained across several processes.

Another may be a specialist.

A new employee may be approved for only limited Worktypes.

The allocation process should therefore ask:

Which employees are eligible to process this case?

This reduces the chance of:

• Incorrect assignment
• Rework
• Unnecessary transfers
• Longer AHT
• Quality failures
• Supervisor intervention

Skill-based routing is especially useful when a shared-services workforce supports several processes.

Step 4: Decide Which Case Should Be Worked Next

Once an employee is eligible, the operation still needs to choose the right case.

Common rules include:

FIFO

Work the oldest eligible case first.

Priority

Handle urgent or high-risk work before standard requests.

SLA Risk

Prioritize cases that are approaching service-level breach.

Skill Eligibility

Only route cases the employee can process.

A mature allocation model may combine all of them.

For example:

Skill Eligibility
↓
Critical Priority
↓
SLA Risk
↓
FIFO

This reduces reliance on manual selection.

Related reading:

FIFO vs Priority vs Skill-Based Work Allocation: Which Is Better?

https://www.praevexa.com/insights/fifo-priority-skill-based-work-allocation

Employee Self-Selection Can Distort the Queue

Many shared-services teams allow employees to open a tracker and choose work.

That is convenient.

But it can also create unintended behaviour.

Employees may naturally choose:

• Easier transactions
• Familiar processes
• Newer work
• Requests requiring less research
• Work that can be completed quickly

More complex cases can remain behind.

The result may be:

High completed volume

while:

Aged backlog continues increasing

This is particularly dangerous when employee performance is heavily measured using transaction count or CPH.

The employee may simply be responding to the way performance is measured.

Controlled allocation can reduce this problem.

Step 5: Establish Clear Ownership

Every open case should have a clear owner.

Management should be able to answer:

Who is responsible for this request right now?

This sounds basic, but it can become difficult in manual environments.

A request may exist in:

• A shared mailbox
• An Excel tracker
• A supervisor's allocation file
• An employee's local list
• A follow-up reminder

Ownership may not be obvious.

A structured case workflow should establish exclusive ownership once the work is assigned.

That helps prevent:

• Duplicate processing
• Missed work
• Conflicting updates
• Unclear accountability

Step 6: Make Status Meaningful

A case should not simply be:

Open

or

Closed.

Real shared-services workflows may require statuses such as:

• Unassigned
• Assigned
• In Progress
• Pended
• On Hold
• Follow-Up Required
• Rework
• Reassigned
• Completed
• Cancelled

These statuses help management understand why work remains open.

For example:

5,000 open cases may include:

2,500 actively processable

1,400 waiting for information

600 on follow-up

300 in rework

200 on hold

That is far more useful than seeing only:

Backlog = 5,000

Step 7: Manage Follow-Ups as Part of the Workflow

Shared-services work frequently depends on future actions.

An employee may need to:

• Contact another department
• Wait for customer information
• Request additional documentation
• Check an external response
• Revisit a case after a defined period

If follow-ups are managed through personal Outlook reminders or Excel dates, organization-level visibility becomes difficult.

A structured workflow should connect:

Case

Follow-Up Reason

Follow-Up Date

Owner

Previous Attempts

Next Action

This keeps the follow-up attached to the work rather than to an individual's memory.

Related reading:

How to Manage Follow-Ups Without Excel and Outlook Reminders

https://www.praevexa.com/insights/manage-follow-ups-without-excel-outlook-reminders

Step 8: Monitor Backlog by Aging

Total backlog is useful.

But it does not tell the full story.

Suppose:

Process A

Backlog: 8,000

Most cases are less than 3 days old.

Process B

Backlog: 2,500

Most cases are approaching SLA.

Process B may represent greater operational risk even though its backlog is much smaller.

That is why shared-services teams should analyze backlog using dimensions such as:

• Aging bucket
• Department
• Queue
• Worktype
• Priority
• Owner
• SLA status
• Pend status
• Follow-up status

Backlog should tell management where the risk is, not simply how much work exists.

Related reading:

How to Manage Backlog, Aging and SLA in Case-Based Operations

https://www.praevexa.com/insights/manage-backlog-aging-sla-case-operations

Step 9: Manage SLA Proactively

SLA should not be only a historical report.

Management needs to know which open cases are likely to breach next.

For example:

SLA: 10 days

Current age: 9 days

Remaining time: 1 day

That case needs different attention from a case received this morning.

A useful operating view might classify work as:

Within SLA

Approaching SLA

High Risk

Breached

This allows supervisors to intervene before the target is missed.

Different Worktypes May Have Different SLAs

Shared-services environments often have several service commitments.

For example:

Employee Data Change — 2 days

Payroll Query — 3 days

Invoice Exception — 5 days

Complex Investigation — 10 days

One global SLA therefore may not work.

The case-management model should retain the service expectation associated with the specific process.

This also improves operational reporting.

Step 10: Track Rework Separately

Rework is important in transaction-processing environments.

A case may need to be reopened because of:

• Processing error
• Missing information
• Quality failure
• Upstream correction
• New information
• Supervisor review

Rework represents real workload.

But it should not necessarily be counted as another new case.

Management may therefore want to distinguish:

New Work

Completed Work

Rework

Follow-Up Activity

This produces a much more accurate view of operational demand.

Step 11: Measure Productivity in Context

Shared-services organizations often compare employee output.

But raw case counts can be misleading.

Consider:

Employee A completes 60 transactions.

Employee B completes 30 transactions.

At first glance, Employee A appears twice as productive.

But suppose:

Employee A processes simple data corrections.

Employee B processes complex payment investigations.

The comparison is no longer meaningful without considering work type and complexity.

Useful productivity measures may include:

• CPH
• AHT
• Expected AHT
• Worktype
• Complexity
• Productive hours
• Weighted output
• Rework
• Quality

The more diverse the operation, the more important this context becomes.

CPH Helps Measure Throughput

Cases Per Hour — CPH can help understand operational output.

Formula:

CPH = Cases Completed ÷ Productive Hours

For example:

Completed cases: 300

Productive hours: 50

CPH:

300 ÷ 50 = 6 CPH

If the team has:

200 productive hours

the theoretical capacity at the same productivity becomes:

200 × 6 = 1,200 cases

This helps connect staffing to workload.

AHT Helps Explain Complexity

Average Handling Time — AHT measures how much handling time the average transaction requires.

For example:

Worktype A: 6 minutes

Worktype B: 18 minutes

Worktype C: 40 minutes

Simply counting cases would make Worktype A appear much larger from a productivity perspective.

AHT shows the workload requirement more clearly.

Step 12: Connect Workforce Capacity with Demand

A shared-services manager should ideally know:

How much work is coming in?

and:

How much can the team realistically process?

Suppose:

Available employees: 25

Productive hours per employee: 6

Expected productivity: 5 CPH

Daily processing capacity:

25 × 6 × 5 = 750 cases

If incoming volume is:

700 cases per day

Net backlog-reduction capacity is:

750 − 700 = 50 cases/day

If backlog is 3,000:

3,000 ÷ 50 = approximately 60 working days

That is much more useful than simply saying:

“We have 25 employees.”

It turns staffing into an operational-capacity discussion.

Plan capacity before workload becomes backlog

A case-management system helps control and allocate the work already in the operation. Workforce planning helps determine whether you will have enough productive capacity to handle the work expected next.

Use the free Praevexa Workforce Planner to model incoming volume, opening backlog, AHT or CPH, productive hours, working days, shrinkage and available HC.

See how demand translates into required headcount, staffing gaps, projected backlog and SLA risk month by month.

Plan Your Back-Office Capacity

Link to:

https://www.praevexa.com/WorkforcePlanner.aspx

Capacity Should Be Viewed by Worktype

A common problem in shared services is assuming capacity is interchangeable.

An operation may have enough employees overall but still have a shortage in one specific skill.

For example:

Total workforce: 50

Yet only:

6 employees

can process the work type causing most of the backlog.

The organization does not necessarily have a total headcount shortage.

It may have a skill-capacity shortage.

This distinction can materially change the management response.

Possible actions could include:

• Cross-training
• Skill expansion
• Reallocation
• Hiring
• Process simplification
• Automation

Case Management Helps Reveal These Capacity Gaps

When work, queues, skills and employees are connected, management can compare:

Demand by Worktype

against:

Available Skilled Capacity

This helps answer questions such as:

Which queue needs additional people?

Which skills should be cross-trained?

Where is capacity being underused?

Which processes are consistently overloaded?

These are much more useful questions than simply measuring total headcount.

Quality Should Be Connected to Production

A shared-services team can hit its productivity target and still perform poorly if quality declines.

For example:

CPH increases.

AHT decreases.

But errors and rework increase.

The operation may eventually create more workload for itself.

A balanced performance model should therefore consider:

Productivity

Quality

SLA

Backlog

AHT

Rework

Utilization

No single metric should dominate management decisions.

Supervisors Should Manage Exceptions, Not Distribute Every Case

In manual operations, supervisors may spend significant time:

• Checking available work
• Identifying eligible employees
• Allocating cases
• Redistributing workload
• Chasing updates
• Reviewing spreadsheets

As the operation grows, this becomes difficult to scale.

Routine work should ideally follow predefined allocation rules.

Supervisors can then focus on exceptions such as:

• Escalations
• SLA risk
• Capacity shortages
• High backlog
• Rework
• Quality issues
• Training needs

That is a more valuable use of management capacity.

Managers Need an Operational Control View

A good shared-services dashboard should help managers see the operation across several dimensions.

Volume

• Received
• Completed
• Opening backlog
• Closing backlog

Workflow

• Unassigned
• Assigned
• Pended
• On hold
• Follow-up
• Rework

Service

• SLA
• TAT
• Cases at risk
• Breaches

Productivity

• CPH
• AHT
• Productive hours
• Utilization

Capacity

• Available resources
• Skill coverage
• Capacity vs demand

Quality

• Accuracy
• Error rate
• Rework
• Critical defects

This creates a much stronger management environment than multiple standalone reports.

Operations Intelligence Goes Beyond Dashboards

Once work is structured, management can ask deeper questions.

For example:

Which Worktype is driving backlog growth?

Which Queue has the greatest SLA risk?

Where has AHT increased?

Which skills are creating capacity constraints?

Which employees receive the most complex work?

Where is rework increasing?

Which processes require the most follow-ups?

Which Departments are consistently outperforming others?

This is where case-management data starts becoming operations intelligence.

Case History Provides Evidence

Shared-services operations often need to understand what happened to a specific transaction.

For example:

When was it received?

Who originally owned it?

When did processing begin?

Why was it pended?

When was follow-up due?

Who reassigned it?

How much time was spent working it?

When was it completed?

A structured case history makes those questions much easier to answer.

It also supports:

• Audit
• Customer escalations
• Quality review
• Root-cause analysis
• Management investigation

Excel Still Has an Important Role

Moving to structured case management does not mean abandoning Excel.

Excel remains extremely useful for:

• Analysis
• Imports
• Exports
• Forecasting
• Reconciliation
• Management models
• Ad-hoc reporting

The distinction is important:

Excel should help analyze the operation.

It should not be responsible for controlling every operational event.

When Should Shared Services Move Beyond Manual Tracking?

There is no single volume threshold.

However, the following are strong warning signs:

• Supervisors manually allocate most work
• Employees choose their own cases
• Different teams maintain separate trackers
• Cases are occasionally missed or duplicated
• Ownership is difficult to establish
• Follow-ups depend on personal reminders
• Backlog aging requires manual analysis
• SLA reports require substantial preparation
• Productivity is difficult to compare fairly
• Work moves between teams without clear history
• Managers cannot see the current workload easily
• Skill coverage is difficult to understand
• Rework is not clearly separated
• Reporting requires repeated consolidation

When several of these appear together, the operating model may have outgrown its existing tools.

From Shared Services Tracking to Operational Control

The progression often looks like this:

Shared Mailbox

↓

Excel Tracker

↓

Manual Allocation

↓

Structured Case Intake

↓

Skill-Based Routing

↓

Controlled Ownership

↓

Follow-Up & SLA Management

↓

Productivity & Capacity

↓

Operations Intelligence

The objective is not simply more technology.

The objective is a more controlled operating model.

How Praevexa CaseFlow Can Help

Praevexa CaseFlow is designed for shared-services, back-office and transaction-processing operations where teams need structured control over work allocation, ownership and performance.

CaseFlow supports capabilities including:

• Configurable Departments, Queues and Worktypes
• Configurable operational fields
• Excel-based work intake
• Skill eligibility
• Priority-based routing
• FIFO/LIFO allocation
• Manual supervisor assignment
• Exclusive case ownership
• Processing activities
• Pend and hold workflows
• Follow-up management
• Rework and reassignment
• TAT and SLA monitoring
• AHT and CPH
• Productivity and utilization
• Backlog and aging analysis
• Role-based Operations Intelligence
• Excel data exports for additional analysis

The objective is to help organizations move away from fragmented work management toward a structured environment connecting:

People

Work

Deadlines

Capacity

Performance

Learn more about Praevexa CaseFlow:

https://www.praevexa.com/CaseFlow.aspx

Case management and capacity planning work together. CaseFlow can help structure, allocate and track operational work, while the Praevexa Workforce Planner helps determine how much workforce capacity will be required to handle that demand.

Build your workforce capacity plan →

https://www.praevexa.com/WorkforcePlanner.aspx

Related Reading

What Is Case Management Software for Back-Office Operations?

https://www.praevexa.com/insights/case-management-software-back-office-operations

How to Manage Backlog, Aging and SLA in Case-Based Operations

https://www.praevexa.com/insights/manage-backlog-aging-sla-case-operations

FIFO vs Priority vs Skill-Based Work Allocation: Which Is Better?

https://www.praevexa.com/insights/fifo-priority-skill-based-work-allocation

How to Manage Follow-Ups Without Excel and Outlook Reminders

https://www.praevexa.com/insights/manage-follow-ups-without-excel-outlook-reminders