Blogs How to Build an RPA Business Case

An RPA business case is the document that justifies an automation investment to decision-makers.

At minimum, it identifies the process to be automated, establishes what that process costs the organization today, states the expected cost of the automation, defines when the investment is expected to return, and specifies how success will be measured after deployment.

The purpose is narrower than a general argument for automation. A business case addresses one process, one budget request, and one set of measurable outcomes. Proposals that argue for automation broadly tend to generate discussion rather than decisions.

Approval frequently requires agreement across several functions, each evaluating the proposal against different criteria.

Not every proposal requires all five. Identifying which apply, and addressing each in the document, generally reduces the number of review cycles.

The process selected for a first automation affects approval more than the quality of the argument. A process that produces a clear result within a short period supports the case on its own.

Processes that tend to support a strong business case share several characteristics:

• Repetitive and rules-based, with limited exceptions
• High volume, or performed frequently
• Stable, on systems that change infrequently
• Measurable, with existing data on time spent or error rates
• Owned by a team willing to participate

Processes that tend to weaken a business case include:

• Work that requires judgment or interpretation at multiple points
• Low-volume or seasonal tasks
• Processes undergoing planned system changes
• Work with no clear owner
• Processes that are poorly documented or performed inconsistently

Invoice processing is frequently selected as a first project because it reflects most of the supporting characteristics and because organizations often already track its volume and error rates.

Business cases vary by organization, though most include the same core components:

• A description of the current process, including who performs it and how often
• The measured cost of that process at fully loaded rates
• Which portion of the process the automation will handle
• Which portion will continue to require staff involvement
• Total cost of ownership, including internal configuration and maintenance time
• Expected return and the time period used to calculate it
• Success criteria and how they will be measured
• A fallback plan if the automation stops functioning
• The named owner responsible for the workflow after deployment

The last two items are frequently omitted and frequently asked about. Including them reduces review cycles.

A pilot converts an argument into evidence, which is generally more persuasive than projections. It also limits exposure, which addresses the disruption objection directly.

A pilot that supports a broader request typically has:

• A single defined process rather than a category of work
• Baseline measurements taken before the automation is built
• Success criteria agreed to in advance by the approving stakeholders
• A defined end date at which results are reviewed
• A named owner responsible for building and maintaining the workflow

The baseline measurement is the component most often skipped and the one that most affects the outcome. Without a documented starting point, results after deployment become a matter of interpretation.

Measurement determines whether a second automation gets approved. Selecting metrics before deployment and reporting against them consistently is generally more effective than assembling evidence afterward.

Metrics commonly used include:

• Time required to complete the process, before and after
• Volume processed within a defined period
• Error and rework rates
• Exceptions requiring manual handling
• Time spent maintaining the workflow

Reporting the maintenance figure alongside the savings figure tends to strengthen credibility rather than weaken it, since decision-makers generally expect that cost to exist.

The AI Navigation RPA RK Series is KEYENCE's no-code robotic process automation platform. The RK Series is intended for teams building workflows without developer support.

That characteristic affects two of the objections described above. When workflows are configured visually rather than programmed, the build work can sit with the team that already understands the process, which changes both the internal cost estimate and the resourcing question IT is likely to raise.

The costs involved do not disappear under this model. Their location within the organization changes, and a business case is more accurate when it states where configuration and maintenance time will come from.

When comparing platforms, it is worth documenting who performs configuration, who maintains the workflow afterward, and what each requires internally. Those answers often affect total cost of ownership more than the license fee does.