Run company AI through one shared layer.
Shield sits between teams, company data and every approved AI provider. Control, reuse, reporting and governance can work from the same place without forcing every team into one tool.
One place before the provider.
Every AI request can pass through Shield before it reaches an approved model. The layer can check who is asking, what data is involved, which policy applies, what the request costs and whether the work can be reused.
Shield supports Security, Scale and Innovation.
Make company AI visible, controlled and reusable.
Disconnected AI use creates three problems at once: security loses review authority, teams repeat work and leadership cannot see what AI is doing for the business.
Shield connects those problems through the same operating layer.
Control
Apply company rules before data reaches a provider.
Reuse
Make useful prompts, answers and workflows available beyond the first team.
Evidence
Keep records of requests, costs, blocked data, permissions and decisions.
Install the layer once. Review AI every month.
Shield is installed with the company's approved tools, data sources and policies. Once it is running, the company can review what was used, what was blocked, what was repeated, what cost money and what should scale next.
AI monthly usage report
| Team | Activity | Spend | What changed | Decision |
|---|---|---|---|---|
| Marketing | 780 requests | $620 | Customer research prompt repeated across three teams after the same source pack was attached twice | Reuse⋯ |
| Engineering | 4,120 requests | $2,180 | Migration workflow used in 64 delivery tasks | Scale⋯ |
| Finance | 1,070 requests | $1,060 | Month-end analysis accounts for 41% of team spend | Review⋯ |
| HR | 316 requests | $150 | No recurring workflow identified | Improve⋯ |
Ask whatever you need to understand before moving forward.
Tell us what you are trying to approve, scale or review, or simply send the context you have right now.