An approval workflow automation routes each request (an expense, a PO, time off, a discount, a sign-off) to the right approver, chases them if it stalls, escalates when someone is out, and logs who approved what and when. A person still makes every approve or reject call. The automation only removes the chasing and the lost requests. Most teams are live in two to three weeks.
The problem
Approvals live in the cracks between tools. A discount request sits in a Slack DM. A purchase order waits in an email chain nobody remembers to reply to. An expense form is parked in the inbox of a manager who is on holiday, and no one set a backup. The decision itself takes thirty seconds. Getting the request in front of the person who can make it, and getting them to actually look, is what eats the week.
Put a number on it. West Monroe's 2026 Speed Wins research surveyed 214 C-suite executives and 1,000 managers at U.S. companies with at least $250 million in annual revenue. It found that leaders estimate their organizations lose up to 5% of annual revenue to slow decisions, a cost the firm calls the "Slowness Tax," and managers named excessive approval layers as a top bottleneck. That study is about large companies. Smaller firms feel the same drag as hours, not revenue points. Picture a 40-person firm running about 50 approval requests a week across expenses, POs, time off, and sign-offs. If 4 in 10 stall waiting on someone, and each stalled request burns roughly 15 minutes of chasing and re-pinging spread across the people involved, that is about 5 hours a week (20 stalled requests times 15 minutes) spent purely on the chase, before anyone has decided anything. (The 50-request volume and the stall rate are a modeled estimate for one firm, not a measured figure; the West Monroe numbers are from the study.)
The chasing is the visible cost. The delay is the expensive one. A discount approval that lands a day late loses the deal. An unapproved expense sits, and the person who fronted the money quietly resents it. A new-vendor request stuck in limbo means the project it was meant to unblock cannot start. And when the approval finally happens, it happened in a DM, so at month-end finance is reconstructing who signed off on what from a scroll of messages. The request never needed a better decision. It needed to stop sitting.
How the automation works
It catches the request and routes it.
A request comes in (a form, an email, a message, a new record in a tool) and the system sends it to the right approver by your rules, with the amount, the context, and a one-click approve or reject attached.
It chases and escalates.
If the approver does not respond, the system reminds them on a schedule you set. If they are out of office or over a threshold, it reroutes to a backup or a second approver, so a request never waits on one person being at their desk.
It records the decision and updates the system.
Once a human approves or rejects, the outcome is logged (who, what, when, the amount) and written back into the downstream tool: the CRM, the accounting system, or wherever the request needs to land next.
The pieces are proven: intake from forms and messages, routing rules, scheduled reminders, escalation, writing to other systems through their APIs, and a logged record. The real work is the wiring. An approval system that auto-approves to clear a queue defeats the entire purpose and creates real risk, so a human always makes the approve or reject call and the automation only handles the routing, the chasing, and the record. The hard part is the rules: who approves what at which threshold, what counts as an exception, and how out-of-office is handled so requests never rot in the inbox of someone on leave. That is what gets set up, tested against your real requests, and handed over during implementation.
What this looks like in practice
Expenses, purchase orders, and discount requests get approved over Slack and email, by whoever remembers to reply.
- Requests sit in DMs and inboxes. The average expense or PO approval takes about 3 days, because it waits on one manager who is heads-down on client work.
- People chase to move things along: the requester pings twice, ops follows up, the approver context-switches every time. It adds up to several hours a week across the team on the chase alone.
- At month-end, finance has no clean record of who approved what, so they reconstruct each sign-off from Slack threads and email.
- Each request is routed to the right approver the moment it comes in, with the amount and context attached, so they decide in one click without hunting for details.
- If it stalls, the system chases automatically and reroutes to a backup approver when the first is out, so nothing waits on one person being online.
- Every decision is logged (who, what, when, amount) and the accounting system and CRM are updated automatically.
Typical impact
Typical ranges for this pattern, not client claims. Your numbers get modeled in the audit.
Systems it connects
Plus most tools with an API. The audit maps your exact stack.
Who this fits
- Approval requests routinely stall waiting on one person, and chasing them is somebody's recurring job
- 10 or more employees, with managers who approve things in the gaps between their real work
- Recurring, rule-based approvals: expenses, POs, time off, discounts, content sign-off, or new-vendor requests
- A need for a clean record of who approved what and when, for finance, audit, or compliance