Industries Regulated and compliance-heavy SaaS
Regulated and compliance-heavy SaaS
If your platform carries your customers compliance burden, your AI cannot be the weak link. We build it governed.
- SOC 2
- Tenant Isolation
- DPA
- AI Feature Governance
- 25+ yrs enterprise IT
- Fortune 500 regulated-data environments
- Founder-led
The pressure
Your customers auditors are effectively your auditors.
Compliance-heavy SaaS inherits the obligations of the businesses it serves. SOC 2, customer security reviews, and contractual controls all expect you to prove how your systems behave. Bolting in ungoverned AI agents puts every one of those commitments at risk.
What the rules require
What your buyers verify.
- SOC 2: your security, availability, and confidentiality controls have to hold up to an auditor and to your customers own reviews.
- Tenant isolation: one customer data, and one customer AI actions, must never cross into another.
- Model and vendor risk: every model or subprocessor in your stack is now part of your customers risk assessment.
- AI-feature governance: new AI capability needs the same change control, logging, and access discipline as the rest of the platform.
Where it goes wrong
Where SaaS AI fails a security review.
- Cross-tenant leakage
- An AI feature with a scope bug that surfaces one customer data inside another customer session.
- The unlisted subprocessor
- A model vendor a security questionnaire asks about that nobody put on the register.
- Ungoverned feature drift
- AI capability shipped outside the change control the rest of the platform follows.
What we bring
Enterprise governance, applied to your product.
My background is large-scale systems integration and governance in environments where access control and audit are not optional. We bring that discipline to how AI runs inside your platform: least privilege, human oversight on what matters, and evidence by default.
A governed workflow
A governed workflow: shipping an AI feature through a customer security review.
Take a new AI feature that touches customer data across tenants.
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Access is scoped per tenant, so the feature can only ever reach the calling customer data.
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The model and any subprocessor are recorded in a vendor register your customers can be shown.
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High-impact actions pass through an approval gate, and the gate itself becomes part of the evidence.
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Control activity is captured continuously, so a SOC 2 auditor sees evidence, not assurances.
How Command Center fits
The controls your security reviews expect.
Command Center wraps AI capability with permissioning, audit logging, approval gates, and compliance instrumentation, the controls your customers and their auditors are going to ask about.
If you are accountable for getting AI right here, let's talk.
A short working session is the simplest next step. No pitch, just a clear read on where you stand and what is worth doing next.