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NorwayTechnology and telecom2026 – ongoing

Visma

M2 Tarkka expense claim validation

Visma reduced returned expense claims by 25% with AI-assisted validation

WorkingVendor case studyVendor ↗

Problem

Finance teams manually checked expense claims against tax rules and company policies. Conventional rules could not adequately assess free-text expense descriptions.

Approach

Visma added M2 Tarkka to its travel and expense software. It combined deterministic checks with language models accessed through Amazon Bedrock. Customers configured checks as warnings or blocking errors.

Results

25%reduction in expense claims returned for correction, per AWSVendor case study[1]

Takeaway

Visma combined contextual checks with established validation rules, reducing the claims sent back for correction.

Categories

Business function
Finance, risk and legal
AI technology
Generative AI
Evidence
Vendor case study

Sources

  1. Cutting expense claim review from hours to minutes using AWS with Visma
    Amazon Web Services25 Aug 2026Vendor publication

Source summaries

[1]Amazon Web Services25 Aug 2026

AWS reported that Visma added language-model checks to expense validation. Customers reduced returned claims by 25%. The page carries no date; the Internet Archive first saved it on August 25, 2026.

Full details are in the original sources.

Added 4 Nov 2026 · Updated 4 Nov 2026
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