Case study · Anonymized engagement
Enterprise AI, built to survive an audit.
How GSTi helped a regulated life-sciences organization move from shadow-AI risk to governed enterprise AI, delivering the rollout and the governance underneath it in a single integrated engagement.
- Industry
- Regulated life sciences
- Cloud estate
- Microsoft 365 / Azure
- Mandate
- Governed enterprise AI
Client details anonymized at the client’s request. Outcomes are described qualitatively.
The situation
Your people are already using AI, with or without permission.
The organization wanted to put modern AI into the hands of its entire workforce, employees and a large contractor population alike. Demand was already there: staff were experimenting with consumer AI tools on their own, creating shadow-AI exposure with no guardrails. Leadership saw the upside but couldn’t move until three questions were answered.
Can we do this without leaking sensitive data?
R&D, regulated, and personal data were all in scope, and staff were already pasting them into consumer AI tools.
Will it hold up to a regulator or an auditor?
Validated systems, audit trails, and data-handling expectations are non-negotiable in this industry.
How do we roll it out so people actually use it, correctly?
Capability that nobody adopts is as useless as adoption with no guardrails. Both had to be true at once.
The challenge: the organization needed AI capability and a defensible control environment, at the same time. Treating rollout and security as separate workstreams would have meant shipping fast and unsafe, or governing so hard that adoption stalled. The CIO needed a partner who could hold both at once.
How GSTi approached it
The rollout and the governance, in one engagement.
- 01
Establish the ground truth
A read-only audit of the cloud estate mapped the actual current state, where AI was already in use, where sensitive data lived, and where the control gaps were: data-loss prevention, identity and access boundaries, app-consent risk, and the absence of an AI acceptable-use policy. Evidence before recommendations.
- 02
Design a two-layer AI architecture
Rather than turning everyone loose on raw models, GSTi designed a layered architecture that lets the workforce get real value while every interaction stays inside a controlled, auditable boundary.
- 03
Build the governance scaffolding in parallel
Alongside the architecture, GSTi scoped the control work that makes AI defensible in a regulated setting, not as a follow-on phase, but at the same time.
- 04
Sequence a phased roadmap
The program was structured as a multi-phase rollout: foundation and governance first, capability buildout second, workflow integration third, with validation and compliance running throughout, so the organization could manage risk at each gate rather than bet everything on a big-bang launch.
The architecture
A trusted front door, with the intelligence kept behind it.
Secure access layer
A single, trusted front door for AI, grounded on the organization’s own approved content via retrieval, with access controlled through enterprise identity, full auditability, and a hard rule that company data never trains external models.
Intelligence layer
The actual model capability, kept behind the secure access layer so governance, logging, and data boundaries are enforced at the door, rather than left to each individual user.
Governance scaffolding, built in parallel
The outcome
From guesswork to a defensible baseline.
“Adopt fast and unsafe, or govern so hard that nobody uses it, most organizations get stuck choosing. The job is to do both at once.”
- A clear, evidence-based picture of the organization's real AI exposure and control gaps, replacing guesswork with a baseline.
- An AI architecture the organization could actually defend to an auditor or regulator: grounded, access-controlled, logged, and walled off from model training.
- A phased path from shadow-AI risk to governed enterprise AI that protects sensitive data and gets capability into users' hands.
- Adoption and the security and compliance posture advanced together, so neither one held the other hostage.
Most firms sell you a strategy deck or a tool deployment. We deliver the rollout and the governance underneath it, in one engagement, with a regulated-industry lens by default.
Start here
Start with a current-state AI risk assessment.
A consultation with a senior practitioner. We map your real exposure and the fastest defensible path forward.