What challenges did Visma face before AI implementation?

Visma needed a scalable way to apply generative AI and agent capabilities across more than 160 decentralized business units. The company also needed to maintain governance, developer autonomy, regulatory compliance, and data security.

What was the impact of the AI solution?

Supported more than 600 AI initiatives. Upskilled 4,000 employees. About 62% of code received AI-assisted review before engineering review. Delivered about 3x more production-ready deployments, with a feature set completed in 1 week instead of 3 months.

Source

Scaled productionEvidence: Medium65/100

Visma Success Story - AWS

Use case typeAI agentsUpdated Jul 10, 2026

Visma needed a scalable way to apply generative AI and agent capabilities across more than 160 decentralized business units while maintaining governance and developer autonomy. Using Amazon Bedrock for production generative AI applications and agents at scale, Visma aligned AI work across product development, growth functions, and workforce enablement while keeping regulatory compliance and data security in place.

Organization: Visma
Industry: Tech & Comms
Location: Norway
Published: July 2026

Reported outcomes

AI initiatives supported: 600 count

Other quantified impact

Employees upskilled: 4,000 count

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

AI initiatives supported: 600 count

AWS Solutions Case StudyJul 10, 2026Customer storyExplicit claimMedium evidence strength

supporting 600+ AI initiatives

Normalized claim

Employees upskilled: 4,000 count

AWS Solutions Case StudyJul 10, 2026Customer storyExplicit claimMedium evidence strength

upskilling 4,000 employees

Normalized claim

Code AI-assisted reviewed: 62%

AWS Solutions Case StudyJul 10, 2026Customer storyExplicit claimMedium evidence strength

~62% of code getting AI-assisted review before engineering review

Normalized claim

Production-ready deployments improvement: 200% increase

AWS Solutions Case StudyJul 10, 2026Customer storyInferred claimMedium evidence strength

~3x more production-ready deployments

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Visma
Provider: AWS
Maturity: Scaled Production
Linked source: AWS Solutions Case Study

Using Amazon Bedrock for production generative AI applications and agents at scale, Visma aligned AI work across product development, growth functions, and workforce enablement while keeping regulatory compliance and data security in place

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

1AI agents
2Developer productivity
3Workflow orchestration

Visma used Amazon Bedrock for production generative AI applications and agents at scale.
It organized its AI strategy across AI-native product development, AI-native growth functions, and workforce enablement.

Technologies

Amazon Bedrock

Supported more than 600 AI initiatives.
Upskilled 4,000 employees.
About 62% of code received AI-assisted review before engineering review.
Delivered about 3x more production-ready deployments, with a feature set completed in 1 week instead of 3 months.

Sources & evidence1

Evidence: Medium65/100Evidence strength

Customer explicitly identified
Deployment status explicitly supported
Primary source available
Quantified outcome available
Technical implementation details available

Type: Customer StoryPublished: Jul 10, 2026Publisher: AWSEvidence: PrimaryConfidence: High

Primary source

AI-generated summary. Verify important details with the linked sources before relying on this case.

Visma Success Story - AWS

Use case focus

Challenges

Solution

Reported impact

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