For business leaders
Create a clear adoption path. Start with a focused use case, an accountable owner, and a measurable reason to use AI.
A practical starting point
for responsible AI.
Align the people who want to use AI with the people accountable for its risks, costs, and operation.
For IT and security
Define approved access and information boundaries. Evaluate scope, identity lifecycle, input checks, and operational readiness before use.
For finance and operations
Establish a spending envelope. Separate usage visibility from actual enforcement and make exceptions an explicit decision.
Useful first workflows.
Clear human ownership.
Business writing
Explore drafting an internal announcement from approved, non-sensitive notes. A person checks accuracy, tone, and the final message.
Planning and brainstorming
Explore organizing ideas or outlining a project using information your policy allows. The team owns the decisions and follow-through.
Rewriting and explanation
Explore making a permitted text passage clearer. Review for meaning, factual changes, and content that should remain private.
Examples for pilot discussion. They are not a promise of available features or suitability for sensitive decisions.
PILOT FITSmall enough to learn.
Small enough to learn.
Focused enough to matter.
A good first pilot has a business owner, a small approved group, text-based work, and clear information boundaries. Start with tasks that can be reviewed before anyone relies on the output.
During early-access discussions, we’ll clarify the use case, access requirements, spending envelope, and readiness criteria. Availability and commercial terms are agreed separately.
Talk through your use case →SHADOW AIAddress shadow AI.
Address shadow AI.
Define an approved path.
Shadow AI is the use of AI tools outside an organization’s approved processes or oversight.
Start with a clear policy for tools such as ChatGPT, Claude, and Gemini: which services are approved, what information may be submitted, and who checks the output. Give employees an understandable route to ask for access and raise uncertain cases.
AI data leakage concerns need an explicit information boundary. 48 AI is being built around approved workspace access, scoped AI guardrails, and spending controls. It does not claim to discover or block all external AI use or prevent every disclosure.
Discuss your business AI control requirements →