650+ engineers targeted on Claude Code, creating a substantial cohort of Anthropic-certified engineers across APAC and Europe
Singapore, 15 June 2026 – CBTW, the global tech solutions company, today announces it has officially joined the Claude Partner Network, deepening its collaboration with Anthropic through a structured Claude Code certification program across its Asia-Pacific and European engineering teams.
The initiative will see more than 330 APAC engineers certified on Claude Code by 30 June 2026, building on certifications already achieved and additional engineers advancing through the program.
The APAC rollout builds on a broader global collaboration between CBTW and Anthropic that is already underway in Europe, where CBTW has set a target of 320 certified software engineers. Together, the two organisations are working to establish a consistent, externally validated standard for the responsible use of AI in software engineering delivery.
Certification is awarded by Anthropic against its own assessment framework, validating engineers’ ability to use Claude Code effectively and responsibly throughout the software development lifecycle.
Deepening the CBTW-Anthropic partnership
As enterprises move rapidly from AI experimentation to production-scale adoption, CBTW and Anthropic share a common objective: helping organisations realise the productivity benefits of AI while maintaining governance, transparency and engineering quality.
As a Claude Partner Network member, CBTW is embedding Anthropic’s best practices directly into its delivery organisation, ensuring that AI-assisted development is not left to individual preference or informal experimentation, but applied through a consistent, measurable framework across client engagements.
Delivering a standard clients can trust
AI-assisted development is becoming a standard part of software engineering. Yet in many organisations, AI usage remains fragmented, with different engineers applying different practices and limited visibility for clients into how AI contributes to the systems being built on their behalf.
Through its partnership with Anthropic, CBTW is addressing this challenge by introducing a common, independently verified standard across its engineering teams.
As the program reaches its June target, clients will have a clear answer to a question that is increasingly appearing in procurement processes, vendor assessments and technology risk reviews: what governance and quality standards underpin the use of AI in the engineering work delivered on their projects?
“Enterprise clients across this region are making significant software investments, and they deserve to know precisely how AI is being used to build their systems. Our partnership with Anthropic enables us to put a recognised, external standard behind the way our engineers work. By certifying our teams on Claude Code, we are giving clients greater confidence, transparency and assurance across every engagement we deliver in APAC,” said Pieter van Diermen, CEO APAC, CBTW.
What the certification covers
Anthropic-certified engineers demonstrate proficiency in applying Claude Code within live development environments, integrating AI into existing workflows and complex codebases, and using the platform across code generation, review, refactoring, documentation and quality assurance activities.
CBTW complements Anthropic’s certification framework with additional internal learning pathways tailored to specific delivery disciplines, industries and client contexts.
Responding to a changing regulatory landscape
The partnership comes at a time when organisations across Asia-Pacific face growing expectations around AI governance and accountability.
In Australia, CPS 230, which came into force in July 2025, requires APRA-regulated institutions to maintain rigorous governance over third-party service providers and operational risk management. For enterprises engaging technology partners that use AI in software delivery, those obligations now cover how AI is applied, audited and managed within vendor-delivered work. In Singapore, the Monetary Authority of Singapore has proposed AI Risk Management Guidelines for financial institutions, signalling a clear regulatory direction toward formal AI governance requirements across the sector.
Against this backdrop, enterprises increasingly expect technology partners to demonstrate not only AI capability, but also disciplined and auditable methods for deploying AI within software engineering practices.
“The value of AI in software delivery depends on consistency. When teams operate without a shared standard, quality variance accumulates across the codebase and becomes increasingly costly to address. Through our collaboration with Anthropic, we are equipping engineers with a common methodology that supports better code quality, more effective collaboration and stronger long-term maintainability for our clients,” said Martin Papy, CTO APAC, CBTW.
With certification programs now active across both Europe and Asia-Pacific, CBTW and Anthropic are establishing a scalable model for governed AI engineering – helping organizations adopt AI with the confidence that innovation, quality and accountability can advance together.
