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

Visma Success Story - AWS

Use case typeAI agentsUpdated 2 days ago

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

62%

code AI-assisted reviewedOther quantified impact

600 countAI initiatives supported4,000 countemployees upskilled+200%production-ready deployments improvement

Strategic outcomes

Risk & complianceMaintained compliance and data security at scaleRisk & complianceEnabled AI across decentralized business units

Primary read

Use case focus

Showing 3 of 3

1AI agents
2Developer productivity
3Workflow orchestration

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.

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

Groundedness: 5/5Type: Customer StoryPublished: Jul 10, 2026Publisher: AWSEvidence: PrimaryConfidence: High

Primary source

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Customer evidence