FF Automation Insight: Assessing Your Process — Are You Ready for Automation?

Assessing Your Process — Are You Ready for Automation?

Automation works best when the process is stable enough to automate—and controlled enough to trust.
If you skip the readiness check, you risk building automation around a moving target, or worse, creating a faster way to produce the wrong result.

This post outlines a practical readiness assessment you can run in under an hour.
No hype, no large program—just a structured way to decide what to automate first.

What “ready” actually means

A process is automation-ready when:

• The steps are repeatable and mostly rules-based
• Inputs are available and reasonably structured
• Exceptions are clear (and handled by humans)
• Controls and audit trail requirements are understood
• You can measure baseline effort and improvement

If one of these is missing, you can still automate—but you may need a short process clean-up step first.

Step 1: Define the process in one page

Before tools, map the workflow at a high level.

Capture:

• Start and end points (trigger → output)
• Systems involved (ERP, bank, Excel, BI, email, portals)
• Roles (inputs, approvals, exception handling)
• Frequency (daily, weekly, monthly) and deadlines

If you can’t describe it clearly, it’s not ready yet.

Step 2: Score impact (how much it matters)

Use a simple 1–5 score for each dimension:

• Time spent per cycle
• Error risk (and cost of errors)
• Business criticality (close, cash, compliance)
• Frequency
• Downstream impact (how many depend on the output)

Strong candidates usually have at least two scores in the 4–5 range.

Step 3: Score feasibility (how easy it is to automate safely)

Again, score each area from 1–5:

• Process stability (does it change frequently?)
• Data structure (consistent formats, clear identifiers)
• Integration complexity (systems, access constraints)
• Exception rate
• Control requirements (approvals, segregation of duties, logging)

High feasibility doesn’t mean “no controls”. It means controls can be implemented without turning the automation into a monster.

How to interpret your scores

Once you’ve scored both impact and feasibility, interpret the totals separately (maximum 25 per category if you scored five dimensions).

As a simple rule of thumb:

• High impact (20–25) + High feasibility (20–25) → Strong automation candidate. Start here.
• High impact + Medium feasibility (15–19) → Worth doing, but expect some process clean-up first.
• Medium impact + High feasibility → Good quick win, but limited strategic effect.
• Low impact (<15), regardless of feasibility → Probably not worth prioritising.

If both impact and feasibility are below 15, consider choosing a different process altogether.

Step 4: Identify exceptions (this is where most value is)

A good automation design follows a simple pattern:

• Automate the happy path
• Route exceptions to humans
• Log everything

Write down:

• Top 5 exception types
• How they’re detected today
• Who resolves them
• What “good resolution” looks like

If exceptions are unclear, manual work will end up hidden inside the automation.

Step 5: Define controls and audit trail upfront

This is often the difference between a cool demo and something finance can rely on.

Minimum controls to define:

• Access and credentials (who or what runs it)
• Approvals and sign-offs
• Logging (inputs, outputs, timestamps, actions)
• Versioning of outputs and changes
• Reconciliation checks to validate correctness

Step 6: Establish baseline metrics

To make ROI real, pick 3–5 metrics you can measure before and after:

• Minutes per run (end-to-end)
• Number of manual touches
• Error rate or rework incidents
• Close or reporting cycle time
• Exception volume and resolution time

If you can’t measure it, it’s hard to defend the investment later.

A quick readiness checklist

• The process has a clear start, end, and owner
• Steps are documented (even roughly)
• Inputs are accessible and consistent
• Exceptions are known and manageable
• Controls and logging requirements are defined
• Baseline time and pain points are estimated

If you tick 5–6 boxes, you’re ready to automate.
If you tick 3–4, do a short clean-up first.
If you tick 0–2, pick a different process.

Common pitfalls

• Starting with the most complex process because it’s the most painful
• Underestimating data quality issues
• Treating automation as a tool decision instead of a process decision
• Forgetting change management—users need to trust the output

Next step

If you want to turn these insights into concrete results, you can contact us for hands-on guidance on prioritizing, designing, and implementing finance process automation.

We also offer process automation resources — practical guides, checklists, templates, and calculators you can use immediately.