By the financeSHOWCASE Editorial Team
Featuring insights from Richard Fishburn, Managing Director at Spectrum Digital
In a time where AI dashboards, automated invoice extraction, and algorithmic forecasting dominate corporate headlines, finance leaders are under unprecedented pressure to modernise.
When month-end closes drag on or Accounts Payable (AP) bottlenecks stack up, the instinctive reaction is to buy software. The logic seems straightforward: We have a manual problem, so we need a digital solution.
However, throwing shiny new tools at broken, chaotic workflows is the fastest way to waste budget and frustrate your team.
At a recent financeSHOWCASE event, Richard Fishburn, Managing Director at Spectrum Digital, took our 5 in Twenty stage to deliver a sharp, grounded masterclass on digital transformation: “Process before technology. Outcomes before tools.”
Richard’s core thesis is simple, yet frequently ignored in the rush to digitalize: Automation must be the last step, not the first.
Here is a breakdown of the five practical automation principles Richard outlined to help finance directors avoid costly project failures and unlock real operational efficiency.
1. Fix the process before you automate
“Automating an inefficient process just gives you a faster inefficient process.”
Anchoring his talk on a famous principle from Bill Gates, Richard emphasized that technology is strictly an amplifier. If you automate a clean, streamlined workflow, you gain immense speed and accuracy. If you automate a messy, convoluted workflow, you simply amplify the chaos at scale.
Before writing a single line of code or signing a software contract, finance teams must step back and map their baseline processes. Identify redundant approval loops, eliminate useless data handoffs, and audit manual workarounds. Fix the operational foundation first – then bring in the software.
2. Prioritise outcomes over tooling
It is easy to get captivated by software feature lists, multi-colored analytics screens, and promised AI capabilities. But tools are merely vehicles; what actually matters is the destination.
Instead of asking, ‘What can this automation tool do?’ finance leaders should ask:
- What specific business outcome are we trying to achieve?
- Are we trying to reduce Days Sales Outstanding (DSO) by 5 days?
- Are we trying to reallocate 20 hours of manual AP entry back into strategic variance analysis?
When you define clear, measurable commercial outcomes from day one, choosing the right technology becomes significantly easier – and you avoid over-engineering your tech stack.
3. Right-size your tooling
Not every operational headache requires a complex enterprise platform or an expensive custom build.
Often, finance teams attempt to crack a nut with a sledgehammer, buying bloated software packages that take nine months to implement and feature tools the business will never touch.
Richard’s advice is to match the tool strictly to the scale of the process. Sometimes, simple Robotic Process Automation (RPA), low-code integration connectors, or native features already sitting inside your existing ERP or accounting system are more than enough to solve the problem.
4. How to avoid digital transformation failure
Why do so many automation projects end up needing rescue operations?
According to Richard, project failure rarely stems from faulty software code; it stems from poor scoping and lack of user adoption.
- The Scope Trap: Trying to automate an entire department overnight instead of starting with small, high-impact micro-workflows.
- The People Gap: Failing to involve the operational staff – the AP specialists and credit controllers who actually execute the work – in designing the automated workflow.
To ensure success, pick one high-friction process, prove the ROI quickly, build internal trust, and then iterate.
5. Target the real low-hanging fruit: AP & AR
If you want immediate, measurable returns from process-first automation, look directly at your Accounts Payable and Accounts Receivable functions.
AP and AR are inherently transactional, rule-based, and document-heavy – making them prime candidates for automation once the underlying rules are clean:
- In Accounts Payable: Streamlining supplier invoice capture, automated 3-way matching against purchase orders, and routing exceptions directly to line managers eliminates manual data entry and prevents duplicate payments.
- In Accounts Receivable: Automating dynamic payment reminders, streamlining query resolution, and simplifying invoice distribution significantly accelerates cash collection without adding headcount.
The verdict: process first, automation last
Digital transformation isn’t about collecting the latest software tools; it’s about building an agile, efficient finance function that supports business growth.
Before you invest in your next piece of software or throw AI at your back office, take a step back and examine the foundation. Fix the process, define the outcome, pick the right tool—and save automation for last.
How is your team approaching digital transformation this year? Are you streamlining core processes first, or fighting software complexity?
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