You want to use AI, but need clear boundaries

The situation

Your team has ideas for AI. Someone wants help answering customer questions. Someone else wants to search internal documents or spend less time processing forms. You can see the potential, but you are not sure which idea is worth starting with.

Then come the questions that matter: what happens to the information you send, who can see the answers, and what happens when the AI gets something wrong? People may already be using their own tools, without a shared understanding of what belongs in them.

Start with one useful job

We look at the work your team actually does and choose a small task with a clear way to judge whether it helps. That might be finding an approved procedure, preparing a draft for someone to review, or extracting a few fields from a document.

We agree what a good result looks like, who owns the pilot, and what it can cost. If ordinary software or a simpler process would do the job better, that is part of the conversation too.

Decide what data AI can use

Before connecting a tool, we map the information it needs and what should stay out. We review the provider’s terms and settings for storage, retention, model training, and deletion. We use approved test data for the first version and remove unnecessary personal or confidential details.

Access follows the person using the system. A document assistant should only retrieve material that person is allowed to read. Those permissions belong in the application and its connected systems, rather than depending on the AI to remember a rule in its prompt.

Build the guardrails around it

We limit which tools the AI can use and what each connection can do. A first pilot can suggest or draft while a person approves actions such as sending a message or changing a business record. We check outputs before another system uses them.

We test missing information, wrong answers, attempts to access restricted files, and instructions hidden inside documents. We also set usage limits, keep an appropriate activity record without unnecessary sensitive content, and provide a way to stop the integration. A guardrail reduces risk; it does not make every answer reliable.

What you end up with

• A chosen use case, success measures, and an agreed pilot budget
• A record of approved data sources, provider settings, and access boundaries
• A working pilot with limited permissions and human review where needed
• Test results covering usefulness, failures, and attempts to cross those boundaries
• Staff guidance, an owner for the system, and a documented way to pause or roll it back

Roll out when the pilot earns it

We review the pilot with the people who use it before widening access or adding more actions. The next step depends on what worked, what failed, and whether the benefit is worth the operating cost. The scope and schedule are agreed with you.

If you want to use AI but are unsure where to start or how to protect your business information, SSI LABS could help you work through it.