Safe AI: inside your walls, with a named owner.
AI that clears security, compliance and procurement, and still ships.
In short
Safe AI means AI a business can use without exposing its data, its customers or its reputation: models deployed inside the company's own environment, data that is never used to train a vendor's model, access by role, human review before anything leaves, and an audit trail the risk team can sign off. Quadrivium designs, deploys and governs AI this way for companies in regulated and data-sensitive industries, and writes the AI policy your staff actually follow.
- Who it is for
- Finance, healthcare, manufacturing, legal, and any business holding customer data
- What you get
- A private deployment, a governance framework, a written AI policy and an audit trail
- Typical timeline
- Policy and risk assessment in 3 weeks; private pilot in 8 to 12 weeks
- Where it runs
- Your Azure, AWS or Google Cloud tenancy, or on-premise
What this looks like in your company
Runs inside your walls
Models in your cloud tenancy or on your own servers. Prompts and documents never leave your environment.
Your data stays yours
Enterprise and API tiers whose terms exclude training on your data, or open-weight models you host. Confirmed in writing.
A named owner for every model
A registry of what is in service, who owns it, what it may do and when it was last reviewed.
Human review where it matters
Approval gates before anything is sent, paid, published or changed. Thresholds set by you, by role.
Audit-ready by design
Every prompt, answer and action logged, so an auditor or a customer can be shown exactly what happened.
Aligned with DPDP and GDPR
Consent, data minimisation and purpose limitation built into the design, not bolted on after a complaint.
5 steps, each with something to show
Every step ends in something you can see and judge before the next one starts.
- 1
Assess the risk and the data
Which data is involved, where it may go, who may see it, and what the regulator and your customers expect. A short written risk register comes out of this.
- 2
Write the policy
An acceptable-use policy for staff in plain language: which tools, which data, who reviews what, and what to do when unsure. Two pages, not forty.
- 3
Deploy privately
The models and the system are set up inside your environment with access by role and logging on from the first day.
- 4
Add the gates
Human review points, spending and sending limits, and a kill switch, placed where a mistake would cost money or trust.
- 5
Monitor and audit
Accuracy, drift and usage reviewed on a schedule, with an audit pack your risk and compliance teams can sign off.
Partnered with the platforms. Built by people who have shipped before.
20+
Years of industry experience per mentor
500+
Professionals trained
1,000+
Hours of hands-on teaching
I found the session quite insightful, informative and the same was delivered to the point. We could practically do it on our own live with the mentors so that everything gets clear on real time basis.
A wonderful learning experience with Quadrivium. The AI training was practical, well-structured, and delivered by amazing mentors.
Quadrivium's AI for Everyone cohort was incredibly practical, mentors walked us through real prompts, automation workflows, and business scenarios so I could immediately apply what I learned at work.
Safe AI, answered plainly
Where to go next
Ready to put AI to work in your business?
Tell us what you are trying to solve. You will get a straight answer on whether AI fits, what it would take, and what it would cost — no obligation.
- info@quadrivium.in
- +91 9172122765
- Wakad, Pune, India