AI Tools and How to Introduce Them Safely Into Your Environment
Smart companies are beginning to accept that AI tools are becoming part of everyday operations. Why? There are several practical reasons:
- Staffing shortages: In many regions and specialties, there simply aren’t enough people available to perform all the work that needs to be done.
- Future cost benefits: Over time, once AI tools mature, organizations may be able to reduce headcount or reassign staff to higher‑value work.
- Improved accuracy and efficiency: AI can deliver faster resolution, reduce manual effort (such as billing review), and enhance the knowledge and capabilities of your existing staff.
However, it’s critical to remember that AI tools are still software. They must be evaluated, onboarded, and controlled just like any other application you bring into your environment.
Define What AI You Are Willing to Use
Before adopting any AI system, establish clear internal guidelines:
- What types of AI tools are acceptable?
(Generative AI, automation assistants, coding copilots, analytics tools, etc.) - What security protocols must they follow?
- What risks are associated with the tool?
Understand whether the data is protected, how it’s stored, and whether it can be isolated from other clients’ data. - How is your data used by the vendor?
Is it training their AI? Is it anonymized? Is it shared?
Request thorough documentation and certifications such as:
- SOC 2
- SOC 3
- HIPAA
- PCI
- GDPR
- Any relevant privacy or security compliance reports
Also confirm:
- Where does the data reside? (Vendor cloud? Your cloud? On‑prem?)
- What is the vendor’s data cleansing process when the contract ends?
- Can your data be fully deleted or destroyed upon request?
These should not be optional questions — they are fundamental requirements when evaluating any AI solution.
Test AI Like Any Other Software — Safely
When you decide to bring an AI tool into your environment, treat the onboarding with the same discipline you would apply to any enterprise software:
