The failure mode nobody demos
Generated Apex that skips a null check, a flow that ignores a sharing rule, a data transform that silently drops edge-case records: none of these show up in a demo. They show up three weeks later in production, and by then they are expensive to unpick.
AI does not know your org's history, your compliance obligations, or the one field that means something different than its name suggests. It writes plausible code fast, which is exactly why it needs a reader.
What the reviewer catches
A certified Salesforce engineer reviews every AI output on our projects for security, test coverage, governor limits, sharing and visibility, and fit with the existing architecture. The engineer is accountable for what ships, not the model.
This is the difference between AI that accelerates a professional and AI that replaces professional judgement. We use it for the former.
Speed and safety are not a trade-off
Done right, review does not cancel the speed benefit. The agent produces the first draft in minutes; the engineer spends their time judging and hardening rather than typing boilerplate. Net delivery is still faster, and it is governed.
That is the whole H2TECH proposition in one line: AI speed, engineer-reviewed, enterprise-ready. Zero shortcuts on the things that break orgs.
Key takeaways
- AI's worst failures are invisible in a demo and expensive in production.
- A certified engineer reviews every output for security, tests, limits, and sharing.
- Review keeps the speed benefit while removing the risk; it is not a trade-off.