AI Governance Frameworks That Actually Ship
A pragmatic governance stack — model cards, evaluation gates, and human-in-the-loop checkpoints — that satisfies auditors without blocking engineers.
Governance is not paperwork
Most 'AI governance' programs are a 40-page policy document nobody reads. Real governance is executable — checks that run in CI, gates that block deployment, and dashboards leadership actually opens.
The three-gate pipeline
Every model we ship passes three gates: a bias and fairness evaluation against protected attributes, a robustness evaluation against adversarial inputs, and a business-metric regression against a holdout set. Failing any gate blocks the deploy — no exceptions, including for the CEO's pet project.
Model cards as contracts
Each production model has a model card that documents intended use, known limitations, evaluation results, and the human escalation path. It's the contract between the engineering team and every downstream consumer — and the first artefact any auditor requests.
Key takeaways
- Make governance executable, not documentary
- Block deploys on failing evaluations
- Publish model cards as team contracts
T7 Research
Enterprise AI Research Group
T7 Research is the research arm of T7 Solution, focused on benchmarking LLMs, evaluating RAG patterns, and compiling implementation playbooks for enterprise technology leaders.