Airclerk helps engineering teams in regulated financial and professional services across New Zealand and Australia adopt Claude Code safely and productively - with the secure development discipline regulated environments require.
For regulated organisations, the question isn't whether engineers will use AI coding tools - they already are. The question is whether the team's adoption is structured, governed and aligned with secure SDLC, or whether it's happening in the shadows.
Airclerk helps engineering leaders move adoption out of the shadows and into a programme with measurable outcomes.
Which repositories, which data, which environments - defined explicitly, not by default.
AI-authored code passes through the same (or stricter) review and test gates as human-authored code.
Provenance of AI-assisted changes is recorded and reportable to risk and audit.
We measure adoption against outcomes engineering leaders actually care about - throughput, defect rate, time-to-merge - not vanity tool usage.
A 45-minute working session with your engineering and security leads. We'll share what we've seen work in regulated teams and what to avoid.
Claude Code is Anthropic's agentic coding tool. Airclerk's Claude Code Enablement helps engineering and platform teams in regulated financial and professional services across New Zealand and Australia adopt it safely and productively, with the secure development discipline regulated environments require.
In regulated organisations the question isn't whether engineers will use AI coding tools - they already are - but whether that adoption is structured, governed and aligned with secure SDLC, or happening in the shadows. Airclerk helps engineering leaders move adoption out of the shadows and into a programme with measurable outcomes.
Airclerk sets explicit repo and data boundaries - which repositories, which data, which environments, defined explicitly rather than by default - and configures secure repository access patterns aligned with your secure SDLC. The rollout also covers Claude Code setup and tenancy, AI coding guidelines and policy, and secrets and permission boundaries.
AI-authored code passes through the same or stricter review and test gates as human-authored code, supported by coding standards and review workflows, pull request and approval gates, and test-generation discipline. The provenance of AI-assisted changes is recorded and reportable to risk and audit.
Airclerk measures adoption against the outcomes engineering leaders actually care about - throughput, defect rate and time-to-merge - rather than vanity tool usage, as part of the structured rollout. To get started, you can book a 45-minute working session with your engineering and security leads, where Airclerk shares what it has seen work in regulated teams and what to avoid; many engagements then run through the two-week Claude Production Readiness Sprint.