FAQs
Answers for teams assessing AI oversight and lifecycle support.
What do all engagements include? +
Every engagement includes a security baseline, clear documentation, transparent scope, practical handover guidance, and direct communication.
Do you work with teams that used AI to write much of the product? +
Yes. That is a core SystemSIP use case. The focus is making sure the product is safe, maintainable, and operable over time.
Can you support post-launch changes and upgrades? +
Yes. Lifecycle Assurance is designed for exactly that, and other tiers can transition into it after launch.
Is this just a security review? +
No. The audit covers architecture, AI usage, deployment readiness, privacy, cost, and supportability.
Can you work with a solo founder? +
Yes. The format is intentionally useful for solo builders who need strong outside review before launch.
Do you replace our engineering team? +
No. SystemSIP acts as the architecture, risk, and delivery oversight partner around the existing team.
Can this fit an SME budget? +
Yes. We use fixed-scope checkpoints where possible so teams can buy the right level of oversight without enterprise overhead.
Is this managed support? +
It is governance-led operational support. We help teams monitor, review, prioritize, and respond with stronger discipline.
What if we only need quarterly guidance? +
Starter is designed for that. Growth and Scale add deeper cadence and support when the system footprint expands.
Is this only for regulated sectors? +
No. It is also useful for fast-growing product organizations that need cross-functional control as AI usage expands.
Can this start with one business unit? +
Yes. Many partnerships begin with a focused domain, then scale into wider governance coverage.