Lancom Technology has joined the AWS Anthropic authorized reseller program for Amazon Bedrock, giving enterprises in New Zealand and Australia direct access to Anthropic's Claude AI models through Amazon's managed platform. This partnership marks a shift in how organizations in the region can deploy generative AI safely into production environments, moving beyond the experimentation phase that dominated 2024 and early 2025.

What Does This Partnership Mean for Enterprise AI Adoption?

The designation enables Lancom to help customers design, deploy, and govern AI solutions that meet strict security and compliance requirements. Rather than forcing organizations to choose a single AI model, the partnership creates what Lancom describes as an "AI Swiss army knife" that allows teams to select the best tool for specific tasks. This flexibility matters because different Claude models excel at different jobs, and enterprises increasingly want options rather than one-size-fits-all solutions.

Lancom has already delivered working solutions across healthcare, public services, and financial sectors, demonstrating that Claude models can handle mission-critical applications in regulated environments. The company's decade-long partnership with Amazon Web Services (AWS) provides the infrastructure foundation, while the new Anthropic authorization adds specialized AI capabilities to that relationship.

"Authorised reseller programmes give us the raw materials for the creation and delivery of customer solutions. As an AWS partner for more than a decade and having moved decisively into delivering AI for our customers, the more tools we have in our armoury the better," said Priscila Bernardes, Lancom CEO.

Priscila Bernardes, CEO at Lancom Technology

How to Evaluate Claude Models for Your Enterprise Needs

• Claude Haiku: Optimized for speed and lower latency, making it suitable for real-time applications where quick responses matter more than deep reasoning capabilities.
• Claude Sonnet: Designed for balanced performance across intelligence, speed, and cost, serving as the middle-ground option for most general enterprise use cases and customer-facing applications.
• Claude Opus: The flagship model suited for advanced reasoning and complex tasks including knowledge work, document analysis, customer engagement, software development, and agent-based workflows that require sophisticated thinking.

The differences between these models reflect a fundamental principle in modern AI: there is no single "best" model for all tasks. Organizations can now match the right Claude model to specific workloads rather than forcing every application through the same system.

Why Is Moving From Experimentation to Production So Critical Right Now?

Throughout 2024 and into 2025, most organizations treated generative AI as a testing ground. Teams built prototypes, ran pilots, and explored what AI could do. But the market is shifting. Companies now want to embed AI directly into their core operations, which requires different considerations entirely.

"We're seeing a strong move from the initial experimentation that characterised 2024 and 2025 towards embedding generative AI safely into core operations. We're supporting customers across strategy, architecture, security and governance, ensuring generative AI initiatives are implemented responsibly and integrated into existing AWS environments," explained Priscila Bernardes.

Priscila Bernardes, CEO at Lancom Technology

Production-ready AI demands rigorous attention to data security, compliance with industry regulations, and integration with existing systems. Amazon Bedrock addresses these concerns by providing secure access to foundation models through a single application programming interface (API), without requiring organizations to manage the underlying infrastructure themselves. This managed approach reduces complexity and allows enterprises to focus on their business logic rather than AI infrastructure maintenance.

Gregor Blaj, Lancom's technical director, emphasized that this architecture gives organizations control over data, security, and compliance while maintaining flexibility in model selection. For regulated industries like healthcare and financial services, this combination of managed infrastructure and model choice is essential.

"Amazon Bedrock provided secure access to foundation models through a single API, without the complexity of managing underlying infrastructure. It equips us to build and scale generative AI applications within a managed AWS environment while maintaining control over data, security, and compliance, while also using the best AI for specific tasks," noted Gregor Blaj.

Gregor Blaj, Technical Director at Lancom Technology

The timing of this partnership reflects broader market dynamics. As enterprises move beyond experimentation, they need partners who understand both AI capabilities and the operational realities of their industries. Lancom's authorization to resell Anthropic models through Amazon Bedrock positions the company to serve this transition in the Asia-Pacific region, where regulated industries are increasingly seeking AI solutions that can operate safely within their existing governance frameworks.