How AI is Transforming
Expense Approval in Lark
If your finance team is still manually reviewing every expense submission in Lark, you are not alone — and you are probably spending at least four hours per week on it. The problem is not that your team is slow. It is that manual expense approval was never designed for the speed modern businesses need.
The Cost of Manual Expense Approval
For a 50-person Singapore SMB processing 200 expense claims per month, manual review looks like this: an approver opens each submission, checks the attached invoice (if there is one), eyeballs the amount against memory, and either approves, queries, or rejects — often days after the submission. Finance managers in our early user interviews consistently reported the same patterns:
- →4–6 hours/week spent on expense review across finance and management teams
- →2–5 day delays because approvers are pulled in multiple directions
- →15–20% of claims lack proper documentation or have amount mismatches
- →Recurring vendors reviewed with the same effort as new, unusual submissions
The last point is where the most time is wasted. When a team member submits a monthly Grab for Work receipt from the same vendor for the same approximate amount, it should take zero seconds to approve. Yet most companies review it with the same attention as an unfamiliar claim.
What AI Expense Approval Does Differently
AI-powered approval tools built for Lark sit between the employee submission and the human approver. When a claim comes in, the AI runs a multi-dimensional check before the approver ever opens the request. The goal is not to replace human judgement — it is to eliminate the 80% of claims that need no judgement at all, and to surface the 20% that genuinely require attention with clear, actionable context.
Here is how AI expense approval in Lark actually changes the workflow:
1. Invoice verification happens in seconds, not minutes
AI vision models read PDF and image invoices — extracting vendor name, date, amount, GST, and line items — and cross-validate these against the submitted expense form. A manual reviewer might spend two minutes on this per claim. AI does it in under five seconds, consistently, without missing a decimal point.
The result: amount mismatches, duplicate submissions, and missing invoices are caught before the approver sees anything.
2. Anomalies surface automatically
AI checks new submissions against historical patterns for the same employee and expense category. A S$180 client lunch from someone whose typical client meals are S$45–S$80 triggers a flag. A weekend submission for an office supply purchase gets noted. These anomalies do not automatically reject — they are surfaced to the approver with context, so the human can make a faster, better-informed decision.
3. Policy rules are enforced without memory lapses
Your expense policy probably lives in a Google Doc that nobody reads. AI expense approval systems learn your actual policy from approver decisions over time — and check every submission against it automatically. Once you have approved or rejected a particular expense type consistently, that pattern becomes a rule. The next submission of the same type is handled instantly.
4. Approvers get a summary, not raw submissions
Instead of opening a claim and reconstructing context from scratch, the approver receives an AI-generated check card directly in Lark. The card shows: invoice verification status, amount vs. policy benchmark, anomaly flags, and a recommended action (approve / review / block). For clean claims — the 70–80% with no issues — the approver taps approve in one second.
Five Dimensions Kopi Checks on Every Submission
Kopi runs five checks in parallel on every Lark expense submission:
Invoice authenticity
AI vision reads the uploaded receipt or invoice. It extracts key fields, checks for common fraud indicators, and validates that the documented amount matches the submitted amount.
Amount benchmarking
The submitted amount is compared against historical norms for the same employee, same category, and similar time periods. Outliers are flagged with context.
Date and context validation
Weekend submissions for office-hours expenses, expense dates that postdate submission dates, and other temporal inconsistencies are caught automatically.
Rule library matching
Every past approver decision is stored. Recurring vendors, common expense categories, and known patterns are matched — turning approval into a one-tap confirmation for recognized claims.
Policy compliance
Expense claims are checked against your configured policy rules — per diem limits, category restrictions, required documentation, and approval chain rules.
What Changes for Employees
Nothing. This is the most important part of AI expense approval done right. Employees continue submitting expenses through Lark existing approval flow — the same form, the same attachments, the same process they already know. The AI layer runs invisibly between submission and the approver notification.
What changes is what employees experience on the other side: approvals that used to take two days now arrive in minutes. Follow-up requests for missing invoices come with specific AI guidance on what is missing, making resubmission faster. And the overall approval process feels less like a black box.
What Changes for Approvers
The approver workflow compresses dramatically. Instead of context-switching into each expense claim, they receive a structured AI check card in Lark for every submission. The card answers the questions approvers always have to answer manually:
- ✓Does the invoice match the claim amount?
- ✓Is this amount in line with what this person normally spends on this category?
- ✓Have I seen this vendor before? Did I approve it last time?
- ✓Does this violate any policy rule I have set?
For clean submissions — most of them — the AI card shows all-green status and the approver approves in one tap. For flagged submissions, the card explains exactly what needs attention, with enough context to make a decision without digging into attachments.
Is This Right for Singapore SMBs?
AI expense approval delivers the most value for teams that are:
- →Already using Lark or Feishu for their primary communication and workflows
- →Processing 20+ expense claims per month (where manual review time starts to accumulate)
- →Growing fast enough that finance processes have not kept pace with team size
- →Finding that approval delays are causing friction for employees or missing reimbursement deadlines
For Singapore SMBs specifically, where Lark adoption is strong and teams are often lean and fast-moving, AI expense approval closes the gap between the speed of the business and the capacity of the finance function.
Getting Started
Setting up AI expense approval in Lark does not require changing your existing approval flows or training your team on new tools. Kopi connects to your Lark workspace via webhook and begins running checks on new submissions immediately after setup — which takes under 10 minutes.
You can explore how Kopi's Lark integration works, or start a free account and connect your workspace today. During our private beta, Kopi is free for Singapore SMBs — no credit card required.
Try AI expense approval in your Lark workspace
Free for Singapore SMBs in private beta. Set up in 10 minutes, no credit card needed.