If Approvals Take Days Not Minutes You're Losing More Than Time

Most businesses accept that approvals take days.

An expense claim sits in someone's inbox for 48 hours. A purchase order waits three days for sign-off. A contract review stretches into a week. This feels normal. It is expensive.

The issue is not that approvals are slow. The issue is that slow approvals cost money in ways that rarely appear on a report.

The Hidden Cost of Approval Delays

When an expense claim takes three days to approve, the direct cost looks small. The hidden cost is substantial. Staff chase approvals. Finance teams manage backlogs. Opportunities slip. McKinsey research indicates AI automation can reduce operational costs by 20-30%, with workflow approvals among the highest-impact targets (McKinsey, 2025).

Consider a mid-sized business processing 200 expense claims each month. If each claim triggers two follow-up emails and 15 minutes of finance administration, that is roughly 50 hours monthly on approval admin alone. At £30 per hour, that is £18,000 per year spent managing delay rather than delivering value.

Timing speed matters across operations. The same logic behind speed to lead applies internally: the longer a decision sits, the more value erodes around it.

Why Automation Pays Back Fast

Approval workflow automation delivers fast ROI because savings are immediate and measurable. Quixy reports that 60% of organisations achieve ROI within 12 months of implementation, with approvals among the quickest payback areas (Quixy, 2025).

The calculation is straightforward: annual savings = (approval time saved per transaction x transaction volume x average hourly rate) + (error reduction x error cost) + opportunity cost recovered.

For a business processing 2,400 approvals annually, reducing average turnaround from 48 hours to two hours improves cash flow speed and releases material management capacity. DoIT Software reports error reductions of 40-75% versus manual processing in automation programmes (DoIT Software, 2025).

What Makes a Good Automation Candidate

Not every approval process should be automated first, but most should eventually. Strong first candidates share four characteristics:

• High volume, The process repeats frequently enough to create measurable savings.
• Clear criteria, Approval rules can be defined unambiguously.
• Predictable routing, The approval path is usually consistent.
• Low exception rate, Most requests follow standard patterns.

Expense approvals, purchase orders under £5,000, standard leave requests, and routine contract amendments typically meet all four.

Where to Start

Start with expense approvals. They are high-volume, rules-based, and universally frustrating. Automate routing by threshold and budget availability, send automatic notifications, and escalate overdue requests.

ZipHQ reports that 95% of IT professionals saw productivity gains after implementing process automation (ZipHQ, 2025). Then expand to purchase orders under a defined threshold, followed by leave requests and standard contract amendments.

Many teams now use assistants like Microsoft Copilot and ChatGPT to draft approval summaries and rationale notes, but the real gain comes from automating the workflow itself, not just the writing around it.

The Long-Term Value

Approval automation delivers more than efficiency. It creates visibility. Automated workflows capture average approval time, bottleneck points, exception rates, and process cost by stage.

This measurement layer supports continuous improvement. DoIT Software reports average cost reductions of 22% within three years for organisations implementing automation programmes (DoIT Software, 2025).

Faster approvals also improve day-to-day culture. Reimbursements in 24 hours instead of five days, and manager approvals in 30 seconds instead of two days, are small operational wins that compound into trust.

References

• Cflow (2025) Workflow Automation Statistics & Trends in 2026. Available at: https://www.cflowapps.com/workflow-automation-statistics/ (Accessed: 3 March 2026).
• Deloitte (2025) Intelligent Automation: Business Evaluation and Implementation Report. Available at: https://www2.deloitte.com (Accessed: 3 March 2026).
• DoIT Software (2025) 32+ Business Process Automation Statistics & Trends [2025]. Available at: https://doit.software/blog/business-process-automation-statistics (Accessed: 3 March 2026).
• FlowForma (2025) 11 Business Process Automation Statistics 2025. Available at: https://www.flowforma.com/blog/business-process-automation-statistics (Accessed: 3 March 2026).
• Formstack (2025) Workflow Automation Statistics You Need to Know. Available at: https://www.formstack.com/blog/workflow-automation-statistics (Accessed: 3 March 2026).
• McKinsey & Company (2025) The State of AI in 2024-2025: Enterprise Adoption and Automation Potential. Available at: https://www.mckinsey.com (Accessed: 3 March 2026).
• Quixy (2025) 65+ Workflow Automation Statistics and Forecast in 2025. Available at: https://quixy.com/blog/workflow-automation-statistics-and-forecasts/ (Accessed: 3 March 2026).
• ZipHQ (2025) 42 must-know business process automation statistics [2025]. Available at: https://ziphq.com/blog/business-process-automation-statistics (Accessed: 3 March 2026).