Every growing company hits the same wall. A purchase request lands in someone's inbox, sits there while they're on a call, gets buried under 47 other emails, and a week later a supplier is chasing you for a decision that should have taken twenty minutes. Multiply that across expense approvals, contract sign-offs, and HR requests, and you're looking at a significant chunk of your team's week spent either chasing people or being chased. The good news is that AI automation can sit between your email, Slack, and ERP system — the financial software that tracks purchases, invoices, and inventory — and handle the entire approval chain without anyone having to manually nudge anyone else.
Why Manual Approval Processes Break Down at Scale
When your company has ten people, approvals work fine on a handshake basis. When you have fifty, the informal system collapses. Requests fall through the cracks between tools. Someone approves something in Slack but forgets to update the ERP. A finance manager grants sign-off via email, but the purchase order never gets raised because the operations team was waiting for a formal trigger in the system.
Research by McKinsey found that employees at mid-sized companies spend an average of 28% of their working week managing email alone. A significant slice of that is chasing status updates on decisions that are, in principle, straightforward. A $3,000 equipment purchase that needs one signature should not require six follow-up messages.
The deeper problem is that your tools weren't designed to talk to each other. Slack is for conversations. Your ERP — whether that's Xero, NetSuite, SAP, or QuickBooks — is for transactions. Email sits somewhere in the middle, used as a catch-all for everything. When an approval process requires someone to read an email, make a decision, reply to a thread, log into the ERP, raise a PO, and then tell the requester in Slack — you've created a seven-step human relay race where every handoff is a chance to drop the baton.
What an AI Approval Automation Actually Does
An AI automation layer — sometimes called an AI agent — acts as the connective tissue between your tools. Think of it as a digital coordinator that monitors incoming requests, routes them to the right person, collects their decision, and then updates every relevant system automatically.
Here's a practical breakdown of how a purchase approval flow works when it's automated:
- Request submission — A team member fills out a simple form (this can live in Slack, a web form, or even a structured email template). They enter the item, cost, supplier, and business justification.
- Automatic routing — The AI agent reads the request, checks the amount against your approval thresholds (e.g. under £500 goes to a line manager, over £5,000 goes to the CFO), and sends an approval request to the right person directly in Slack or email — wherever they prefer to work.
- One-click decision — The approver sees a clean message with the key details and two buttons: Approve or Reject. No logging into anything.
- System update — Once approved, the agent automatically raises the purchase order in your ERP, notifies the requester, and logs the decision with a timestamp for your audit trail.
- Escalation if needed — If the approver hasn't responded in 24 hours, the agent sends a reminder. After 48 hours, it escalates to their backup.
The whole process happens without anyone manually touching a system. The person approving just clicks a button in the tool they're already using.
A Real Example: How a 60-Person Consultancy Cut Approval Time by 80%
Momentum Advisory, a management consultancy with around 60 staff, was running procurement approvals entirely through email threads and a shared inbox monitored by the finance team. The average time from request submission to approved purchase order was 4.2 days. Project managers were regularly delaying client work because they couldn't get sign-off on software licences or contractor fees quickly enough.
They implemented an AI automation workflow connecting their Microsoft Teams environment, Outlook, and NetSuite ERP. Within the first month, the average approval time dropped to 19 hours — an 80% reduction. The finance team, which had previously spent roughly 6 hours a week managing the approval inbox and chasing stakeholders, reclaimed nearly all of that time. They estimated the change freed up around £18,000 of staff time annually, based on the loaded cost of the hours involved.
Equally important: errors dropped. Previously, around one in eight approved requests was never properly logged in NetSuite because someone forgot to raise the PO after approval. That figure fell to near zero once the system update became automatic.
The implementation took three weeks, not three months. The AI agent was built on top of their existing tools — no new software licences, no replacement of their ERP. It simply connected what they already had.
Expanding Beyond Purchase Approvals
Once you have one approval workflow running automatically, the same pattern applies across your business. The underlying logic — receive request, assess routing rules, notify approver, collect decision, update systems, confirm to requester — is identical whether you're handling:
- Expense claims: submitted via a Slack form, routed to a line manager, synced to Xero or QuickBooks once approved
- Contract approvals: a new client contract triggers a Slack notification to legal, who can approve with a click, after which the CRM is automatically updated to reflect the deal status
- HR requests: leave requests submitted via email or a form, routed to the relevant manager, then logged in your HR system without the HR team having to do manual data entry
- IT access requests: a new joiner's system access request gets sent to IT and the relevant department head simultaneously, with access provisioned automatically once both approve
Each workflow you automate saves an estimated 1–3 hours of administrative time per approval cycle. If your team processes 30–40 approvals a week across these categories — which is typical for a 50-person company — you're looking at 30–120 hours of recovered productive time every week.
The financial case is straightforward. At an average blended cost of £35 per staff hour, recovering even 40 hours a week represents over £70,000 in annual value. That's before you account for faster decision-making, fewer delayed projects, and the reduction in errors that cost money to fix.
Conclusion
The approval bottleneck isn't a people problem — it's a systems problem. Your team isn't slow because they don't care; they're slow because the process forces them to context-switch between tools, remember to update multiple systems, and manually chase decisions that should be automatic. An AI automation layer removes all of that friction by connecting your existing tools and handling the coordination work that currently falls on human shoulders. Start with one process — purchase approvals are almost always the highest-value place to begin — prove the time savings, and then expand. The infrastructure you build for that first workflow is the same infrastructure that will eventually run every approval in your business.