Most finance teams don’t notice the problem at first.
It doesn’t show up as a system failure or a missed close. It shows up as something subtler:
more transactions, more automation, more moving parts, and just a little less clarity than there used to be.
At first, it feels like progress.
Then it starts to feel like risk.
The moment complexity stops being manageable
As organizations grow, finance doesn’t just get bigger; it gets more interconnected.
- More systems feeding into the general ledger
- More automation inside accounts payable
- More data moving across workflows at speed
On paper, this should make finance more efficient. In practice, it often creates a different problem:
The faster finance operates, the harder it becomes to see what’s actually happening.
Traditional controls weren’t designed for this environment. Sampling, manual reviews, and periodic checks assume a slower, more contained system.
That assumption no longer holds.
Shawbrook Bank saw this early
Shawbrook Bank wasn’t reacting to a breakdown. They were planning for what comes next.
As a UK-based specialist lender with a diversified product portfolio, the bank was scaling across products, customers, and financial complexity.
And with that growth came a clear realization:
Their existing finance processes—especially across the general ledger (GL) and accounts payable (AP)—would not scale the way the business needed them to.
This wasn’t just about efficiency. It was about maintaining control while moving faster.
The real challenge: simplifying without losing oversight
Like many finance teams, Shawbrook faced a familiar tension:
- Simplify workflows
- Increase automation
- Create capacity for higher-value work
But without introducing new blind spots.
They focused first on two foundational areas:
- General ledger, where increasing transaction complexity makes maintaining control more difficult
- Accounts payable, where automation and transaction volume create the most immediate control challenges
Not because they were broken, but because they are where complexity compounds fastest.
What they did differently
Instead of treating automation and control as separate initiatives, Shawbrook approached them as part of the same system.
Through an internal finance innovation workstream, they introduced MindBridge’s AI-powered analytics directly into their GL and AP processes.
The impact wasn’t just incremental:
- Manual processes were reduced
- Teams gained capacity for higher-value analysis
- New insights surfaced across financial activity
- Governance, risk, and control visibility improved
As one finance leader put it:
“MindBridge has helped us continue to automate, creating capacity for more value-additive activities. It’s become part of our innovation journey.”
Binesh Karavadra
Finance Insights Manager, Shawbrook Bank
What actually changed (and why it matters)
On the surface, this looks like a standard automation story.
It’s not.
The deeper shift is this: Shawbrook didn’t just automate finance; they changed how it’s governed.
Instead of relying on:
- Periodic review
- Manual validation
- Limited sampling
They moved toward:
- Continuous visibility
- Full-population analysis
- Proactive detection of anomalies and control gaps
As their Deputy CFO described:
“Our continued proactive development… is part of our ongoing evolution and optimization of our control environment, intelligently detecting operational anomalies and potential control gaps.”
Jason Nicholson
Deputy Chief Financial Officer, Shawbrook Bank
That’s a fundamentally different operating model.
Why this pattern is showing up everywhere
Shawbrook isn’t an outlier.
Their experience reflects a broader shift happening across finance:
- Automation is accelerating
- Transaction volumes are increasing
- Systems are becoming more fragmented
- Expectations for control and accountability are rising
Which leads to a simple but important reality: You can’t scale finance on efficiency alone. You have to scale oversight with it.
The takeaway for finance teams
Most organizations approach this in stages:
- Automate processes
- Improve efficiency
- Then figure out how to manage the risk
Shawbrook flipped that thinking.
They treated automation and oversight as two sides of the same system and built both together.
The result wasn’t just faster processes. It was a finance function that could:
- Move quickly
- Maintain control
- And adapt as complexity increases
Where to go deeper
This article only scratches the surface of Shawbrook’s approach.
If you want to see exactly how they:
- Embedded AI into GL and AP
- Reduced manual effort
- Strengthened governance and controls
Read the full Shawbrook Bank customer story
Final thought
Finance isn’t just becoming more automated.
It’s becoming more autonomous.
And as that happens, the question isn’t: “How do we work faster?”
It’s: “How do we stay in control as we do?”
Shawbrook offers one answer.