- Readiness for agentic development: what a team needs in place before AI coding agents work in its codebase, such as repository instructions, review rules, protected branches, and test and deploy gates.
- CI/CD design: pipelines, environments and release gates that let AI-assisted changes ship safely and leave an audit trail.
- AI in the product: guardrails, evaluation, cost limits and human sign-off for AI features, with privacy designed in, including POPIA's rules on automated decisions about people.
- Buy versus build: weighing AI tools and platforms against the team's own needs, cost and data obligations.
- Working alongside the client's security lead: they own governance and assurance, we bring the engineering operating model.
See it in: The practice we run on the Asterion platform
Example engagement: fractional advisory
A fractional advisory role alongside a client's other specialist advisers, scoping best practice for its development team's CI/CD pipeline and for the use of AI in its products.
A weekly working session with the team, plus research, documentation and review time each month, billed by the hour. The outputs are a readiness assessment, a target operating model with clear responsibilities, a buy-versus-build view of tools, and a phased roadmap.