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Reduce operating costs safely by improving the work that creates value, not by making indiscriminate cuts. First map a workflow and its required outcome, then remove unnecessary activity, simplify the necessary steps, and automate only stable, repetitive work. Measure spending together with service, quality, output, compliance, safety and reliability so a cheaper process does not quietly damage the business or transfer costs elsewhere.
What “safe” cost reduction means
An operating expense is not automatically waste. A control may prevent fraud, a review may protect a regulated decision, and a support step may be what keeps customers from abandoning a service. The practical question is whether each activity is necessary for the outcome it supports and whether it is performed with the least avoidable effort.
Use this sequence for each candidate workflow:
- Establish a baseline. Document the process, its owners, resources, handoffs, failure points and results.
- Eliminate. Remove work that is duplicated, obsolete or not required by law, policy, safety, a customer need or a useful control.
- Optimize. Simplify the remaining work, reduce waiting and rework, and clarify responsibilities.
- Automate selectively. Use technology for stable, repetitive tasks only after the first three questions have been answered.
- Verify. Compare cost and outcome measures after implementation and reverse or redesign changes that miss requirements.
This order follows the U.S. General Services Administration’s Eliminate, Optimize and Automate (EOA) approach. Its handbook, released June 3, 2026, treats implementation considerations as part of the work rather than as an afterthought; the agency’s explanation of the three pillars was updated June 11, 2026.
1. Establish a baseline before changing anything
Choose a workflow with visible friction
Start with one recurring process where cost, delay or rework is observable. Examples include order entry, invoice approval, employee onboarding, customer support cases, maintenance requests, routine reporting or a cloud service with unexplained spend. A contained workflow is easier to measure and safer to change than an organization-wide “cut costs” program.
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Define the result in operational terms. An invoice process might exist to pay valid suppliers on time while preventing duplicate payments. A support process might exist to resolve a customer issue accurately within a service target. That statement becomes the test for every proposed reduction.
Map the work as it is actually performed
Interview the people who do and receive the work; do not rely solely on a procedure document. Record:
- Trigger and intended end result
- Every step, including waiting, re-keying and exception handling
- People, systems, equipment, suppliers and other resources used
- Inputs, data fields and documents required at each stage
- Handoffs between teams and the information that must survive each handoff
- Approvals, checks and controls, with the reason each exists
- Rework, defects, escalations, backlog and common failure demand
- Peak-volume conditions and variations for unusual cases
Mark steps that are mandatory because of a law, contract, safety rule, customer promise or internal control. A step that feels bureaucratic may still be necessary; its purpose should be confirmed before anyone removes it.
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Capture a small, useful set of measures
Choose measures that show both resource use and the outcome. The right set differs by process, but a practical baseline can include:
| Measure | What it reveals | Example use |
|---|---|---|
| Cost per transaction or case | Resource consumed for a comparable unit of work | Compare invoice-processing effort before and after a redesign |
| Elapsed completion time | Waiting as well as active work | Find approval queues that extend customer response time |
| First-pass accuracy | How often work completes without correction | Expose data-entry defects that create downstream labor |
| Rework or failure-demand rate | Work generated by an earlier failure or incomplete answer | Separate genuine demand from repeat contacts |
| Backlog and service level | Whether capacity meets the required promise | Ensure a staffing change does not create hidden queues |
| Customer, operational or compliance outcome | Whether the process still achieves its purpose | Check resolution quality, on-time payment or audit results |
These are measurement choices, not universal targets. The National Institute of Standards and Technology (NIST) advises designing repeatable processes, measuring how well they meet requirements, and examining inputs, steps and assigned resources when results fall short. Record the measurement period, volume, scope and any unusual conditions so later comparisons are meaningful.
Assign an accountable owner
Name one process owner who can approve a change and is responsible for the outcome. Include the operators, the team receiving the output, finance, technology, risk or compliance specialists and, where relevant, a customer representative. A cost figure owned only by finance can miss operational damage; a workflow owned only by an operations team can miss lifecycle or accounting costs.
2. Eliminate unnecessary work
Ask what value each step provides
For every report, meeting, form field, approval, reconciliation and data transfer, ask:
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- What decision or outcome does this step support?
- Who uses the result, and how often?
- Is it required by a law, regulation, contract, safety practice, customer commitment or effective control?
- Does another step produce the same information?
- What would happen if it were stopped for a controlled trial?
GSA’s EOA guidance specifically identifies redundant reports, unnecessary meetings and approval steps that add no value and are not required as elimination candidates. Elimination is not permission to bypass a required control. Have the process owner and the relevant legal, security, safety or compliance authority document the basis for removing a step.
Target duplication before headcount
Duplicated data entry and repeated status reporting often create cost without improving the result. Consolidate a report when one trusted source can serve all users. Remove a meeting when an agreed dashboard and an exception-only escalation provide the same decision. Retire a form field when it is never used or is already available from a controlled system.
Test removal reversibly
Use a limited scope, time-boxed pilot or a control group. Define a stop condition in advance, such as an increase in payment errors, missed service commitments, unresolved safety issues or audit exceptions. Keep an owner and a rollback method. A step that appears useless in normal conditions may become important during a peak or an incident, so include those scenarios in the review.
3. Optimize the work that must remain
Simplify forms and handoffs
Collect information once, at the earliest reliable point, and pass it through an agreed system rather than asking several teams to re-enter it. Remove fields that do not affect a decision. Use plain instructions, standard naming and clear ownership at each handoff. Route exceptions to specialists while allowing routine cases to follow a shorter path.
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Separate active work from queue time. A case may require ten minutes of effort but wait three days for an approval. Set a response window, delegate decisions within a defined threshold, or batch work only when batching does not harm the service requirement. Balance workloads using actual demand patterns instead of equal allocations that leave one team overloaded.
Standardize repeatable work, preserve judgment for exceptions
Checklists, templates and standard work instructions reduce variation where the inputs and decision rules are stable. They should identify when a case must leave the standard path. Over-standardizing a safety-critical, regulated or genuinely novel task can increase risk; document the exception route and the person authorized to use it.
Use a formal improvement method when the problem is complex
NIST lists Plan-Do-Check-Act (PDCA), Plan-Do-Study-Act (PDSA), Lean, Six Sigma and ISO standards among methods organizations can use to improve processes. Select a method that matches the scale and capability of the team. The method is less important than testing a defined change against a baseline and keeping evidence of the result.
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Improve communication between process neighbors
Many costs arise at boundaries: incomplete requests, unclear ownership and status questions that generate avoidable contacts. Publish the minimum information required to start work, define a single status vocabulary and make queue ownership visible. Measure whether the receiving team can complete the work without chasing the sender.
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Check automation fit first
Good candidates usually have high volume, stable rules, structured inputs and a low rate of exceptions. Repetitive manual data entry, routine reporting and straightforward case handling may fit. A process that is unnecessary, unstable or poorly understood should not be automated merely because it is manual; automation can make waste faster and harder to see.
Before selecting a tool, answer:
- Has the process already been eliminated or simplified?
- Are inputs complete, consistent and available in a usable format?
- What happens when a rule does not apply?
- Who reviews exceptions and incorrect outputs?
- Can the change be paused or reversed without interrupting service?
- What security, privacy, accessibility, records-retention and compliance requirements apply?
Calculate the full lifecycle cost
Include more than a subscription or license. A credible business case includes configuration, integration, data migration, testing, cybersecurity review, implementation labor, training, support, monitoring, upgrades, vendor management, exception handling and the cost of retiring the old process. Estimate the continuing human work that automation does not remove, such as quality checks and escalation.
Compare the net cost over the period relevant to the decision. A low purchase price can be expensive if it creates a fragile integration or requires two systems to run in parallel. Conversely, a higher implementation cost may be justified when it removes recurring work and improves a required outcome. Do not claim a saving until actual operating data confirms it.
Deploy in a controlled sequence
- Define acceptance criteria. State the required accuracy, completion time, service level, security controls and exception response.
- Run representative test cases. Include normal, incomplete, duplicate, high-volume and unusual inputs.
- Pilot with human oversight. Compare automated decisions or outputs with the current process and investigate every material difference.
- Train operators and support staff. Explain what the system does, what it cannot do and how to override or report it.
- Monitor after launch. Track errors, exceptions, queue time, user complaints, service results and total cost.
- Keep a rollback path. Preserve the ability to return to the prior method while defects are corrected.
5. Examine technology and service-design costs
Reuse technology before adding another platform
The UK Government Efficiency Framework identifies technology reuse, reducing reliance on costly legacy IT, digital substitution for manual processing, improved service journeys and reduction of failure demand as areas to investigate. These are prompts for a local assessment, not evidence that a particular replacement will save money.
Inventory applications, interfaces, licenses, data stores and support contracts. Look for overlapping capabilities, unused capacity and interfaces that cause repeated manual work. Include migration, testing, security accreditation, training, contract exit terms and the risk of running old and new systems together. A technically newer system is not automatically cheaper if it increases support complexity or disrupts a critical service.
Make cloud costs visible to the people who can change them
AWS’s cost-optimization guidance recommends reporting costs to technology teams as well as business and finance decision-makers, defining efficiency measures and including cost measurement in change management. Apply this specifically to cloud services:
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- Assign accounts, projects or workloads to accountable owners.
- Use consistent tags or cost-allocation dimensions.
- Review idle, oversized or duplicated resources and data-transfer charges.
- Set budgets and alerts that prompt investigation rather than automatically stopping a production service.
- Include cost impact in architecture reviews, release planning and major configuration changes.
- Measure cost alongside availability, latency, throughput, security and customer outcomes.
Cloud savings that create outages, slower response or emergency engineering work are not operating improvements. Validate any rightsizing, scheduling or architecture change against the service requirement.
Reduce failure demand in the service journey
Count contacts, tickets and corrections caused by an earlier failure, such as an unclear form, an incorrect bill or a status message that leaves customers uncertain. Fixing the originating defect can reduce both cost and frustration. Do not simply close channels or make access harder; that can suppress visible demand while increasing complaints, escalations or regulatory risk.
6. Treat facilities and energy as process costs
Connect energy use to the work being performed
The U.S. Environmental Protection Agency’s Lean & Energy Toolkit describes connecting Lean value-stream mapping with energy-use analysis. Map where energy is consumed along the process, including idle equipment, compressed air, heating, cooling, lighting and production changes. An energy reduction that slows output, damages materials or creates unsafe conditions is not a successful optimization.
Evaluate an energy management information system over its lifecycle
The U.S. Department of Energy’s Federal Energy Management Program (FEMP) recommends comparing expected utility savings with the lifecycle costs of an energy management information system. Include software, sensors or metering, installation, integration, labor, training, maintenance, data quality work and eventual replacement. Coordinate energy specialists with operations and management so the system produces decisions rather than another unused dashboard.
Set targets and indicators before buying equipment
The Australian Department of Climate Change, Energy, the Environment and Water recommends an energy management system with targets, indicators and project evaluation. Define the baseline, operating conditions and responsible owner. Verify results after weather, occupancy, production volume and operating hours are considered. A one-month reduction during a low-activity period is not proof of a durable saving.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.7. Compare options on net value, not headline price
When two or more interventions are plausible, score them using the same criteria. The following framework combines process, lifecycle-cost and cost-awareness considerations; it is a decision aid, not a published universal scoring model.
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Document assumptions and evidence for each option. If a value is unknown, label it as unknown and assign an owner and date for validation rather than inserting a convenient estimate.
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8. Protect essential workflows during rollout
Use change controls proportionate to risk
Classify the workflow by the harm a failure could cause. A small change to an internal report can use a lighter review than a change affecting payments, patient safety, legal records, production controls or customer access. In every case, identify dependencies, test data, approval authority, communication needs and rollback steps.
Run a limited pilot
Choose a site, team, product line or transaction type that represents normal work but limits exposure. Keep the baseline method available where practical. Compare the pilot with a baseline period or control group using the same definitions. Record incidents, workarounds and unplanned labor; these are part of the change cost.
Monitor leading and lagging indicators
Leading indicators show whether the new process is being followed and where it is failing: exception volume, training completion, queue age, system errors and manual overrides. Lagging indicators show the outcome: total cost, service level, quality, customer result, compliance finding, safety event or reliability. Set thresholds that trigger investigation and a named person who can pause the rollout.
Communicate what is changing and what is not
Tell affected staff the purpose, effective date, new responsibilities, exception route and support channel. Explain which controls remain mandatory. Front-line operators often identify failure modes before dashboards do; make their feedback part of the review rather than treating workarounds as resistance.
9. Build a measurement loop after implementation
Compare the same scope, volume and outcome definitions used for the baseline. Separate one-time implementation spending from recurring operating cost. Include internal labor that has moved to another team, temporary dual-running costs and support work created by the change.
Review at intervals appropriate to the process: frequent checks during rollout, then a regular operating review. Ask:
- Did cost per unit change after all recurring and allocated costs were included?
- Did service, quality, output, safety, compliance and reliability remain within requirements?
- Did demand, volume or mix change enough to explain the result?
- Did the change create new exceptions, manual work or failure demand?
- Is the result repeatable, or was it caused by a temporary condition?
NIST’s process guidance supports this cycle of measuring requirements, examining inputs and resources, and improving the process when results fall short. If the result is negative, correct the design or restore the prior workflow; do not keep a failed change solely because money has already been spent.
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10. A practical 30-, 60- and 90-day plan
Days 1–30: understand and baseline
- Select one workflow with visible cost or friction and name its owner.
- Map steps, handoffs, resources, controls, exceptions and intended outcome.
- Collect a representative baseline for cost, time, quality and service.
- Mark work that is legally, contractually, operationally or safety-critical.
- List elimination, optimization and automation hypotheses without committing to them.
Days 31–60: remove and redesign
- Validate which reports, meetings, approvals and data fields are genuinely necessary.
- Run a reversible elimination test where risk is low.
- Redesign forms, queues, ownership and standard work for the remaining process.
- Estimate lifecycle cost and implementation effort for any technology or energy option.
- Set acceptance criteria, rollback conditions and a pilot plan.
Days 61–90: pilot and verify
- Train the pilot team and communicate the new path and exception route.
- Run the pilot with human oversight and collect leading and lagging measures.
- Compare results with the baseline, including hidden labor and transferred costs.
- Correct defects or stop the change if requirements are missed.
- Scale only after the owner and affected control functions approve the evidence.
Common mistakes that make costs worse
- Starting with a percentage target. The official guidance available for these methods does not establish a reliable cross-industry savings percentage. A target detached from process data encourages harmful cuts.
- Automating before eliminating. A faster version of unnecessary work still consumes money and creates maintenance obligations.
- Counting purchase price only. Integration, labor, training, support, exceptions and retirement of old systems can dominate the lifecycle cost.
- Measuring cost without outcome. Lower spend can conceal slower service, lower quality, safety exposure or compliance failure.
- Removing controls by assumption. Confirm the requirement and owner before changing an approval, check or record.
- Ignoring transferred work. A local budget reduction is not a total saving if another team, supplier or future period absorbs the effort.
- Using a short or unrepresentative baseline. Seasonality, peak demand, weather and unusual cases can make a change appear better or worse than it is.
- Making an irreversible change first. Pilot, monitor and preserve a rollback route for workflows whose interruption would be costly.
- Assuming a new platform fixes a broken process. Clarify the process and requirements before selecting technology.
How to decide whether a proposed saving is real
A saving is credible when the changed process costs less over its relevant lifecycle, continues to meet its required service and control outcomes, and produces a repeatable result under normal operating conditions. It is not credible when it depends on an unverified percentage, excludes implementation and support, hides transferred work, or achieves a lower bill by suppressing necessary demand.
Use the EOA order—eliminate, optimize, then automate—as a disciplined way to find those opportunities. Apply NIST-style process measurement, the UK efficiency framework’s technology and service-design prompts, cloud cost-awareness practices where cloud is involved, and lifecycle energy analysis where facilities are involved. The final decision should still come from the workflow’s own baseline, obligations and operating evidence.
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