# Halyard Labs

> Sydney-based AI consultancy helping engineering, product and operations teams implement AI that works. Founded by Alex Hinds, former founding product and engineering lead at Lorikeet (pre-revenue to Series B), with prior leadership roles at Atlassian, The Guardian and Kayo.

Halyard Labs offers three engagements: a 1-week AI Readiness Audit ($5,000+ GST), a 4-8 week AI Tooling & Training rollout (from $20,000 + GST), and 3-6 month Embedded Technical Leadership (from $27,000/month + GST). Engagements serve engineering, product and operations teams of roughly 10-200 people, primarily in Sydney and across Australia, with selected remote work.

## Core pages

- [Home](https://halyard.dev/): Overview of Halyard Labs, who we serve and the three core service offerings.
- [About Alex Hinds](https://halyard.dev/about): Background, experience and consulting philosophy of the principal consultant.
- [Contact](https://halyard.dev/contact): Get in touch via form or book a discovery call directly.

## Services

- [AI Readiness Audit](https://halyard.dev/services/audit): One-week assessment that maps existing tools, systems and workflows, then delivers a prioritised list of AI opportunities ranked by impact and effort.
- [AI Tooling & Training](https://halyard.dev/services/tooling): 4-8 week engagement to set up the right AI tooling for the team's highest-leverage problems and train people to run with it after handover.
- [Embedded Technical Leadership](https://halyard.dev/services/leadership): 3-6 month fractional CTO / senior engineering leadership, 2-3 days per week, embedded with the team to set direction, unblock delivery and build long-term AI capability.

## Writing

- [Index of all posts](https://halyard.dev/blog): Practical writing on AI engineering, agent workflows, evaluation, RAG and shipping AI products.
- [Full content](https://halyard.dev/llms-full.txt): Complete text of all canonical posts in a single markdown file.

## Optional

- [Sitemap](https://halyard.dev/sitemap.xml): Machine-readable index of all canonical pages.