Industries Regulated and compliance-heavy SaaS
Clear the security review instead of holding up the quarter.
We build AI features for compliance-heavy SaaS teams with scoped access and evidence captured from the start, so security reviews clear instead of stalling.
25+ years in enterprise IT, including Fortune 500 regulated-data environments.
- SOC 2
- Tenant Isolation
- DPA
- AI Feature Governance
No preparation needed. You leave with next steps in writing.
Assess, build, embed
- 25+ yrs enterprise IT
- Fortune 500 regulated-data environments
- Founder-led
A stalled security review is a delayed deal. AI features that arrive with scoped access, a named vendor register, and evidence already captured clear the review instead of holding up the quarter.
The pressure
A questionnaire you cannot answer is revenue sitting still.
Compliance-heavy SaaS inherits the obligations of the businesses it serves, which makes your customers' auditors effectively your auditors. Every AI feature you ship adds lines to the questionnaire: which model, which data, which subprocessor, who approved the action. When those answers are not already written down, the deal waits while somebody assembles them, your engineers stop building to help, and the renewal conversation starts from a weaker position. Ungoverned AI does not only create risk. It creates delay in every deal that touches it.
What the rules require
What your buyers verify.
- A control your auditor cannot see is a control you get no credit for: SOC 2 security, availability, and confidentiality criteria have to hold up to an examination and to your customers' own reviews.
- Cross-tenant leakage is a disclosure event, not a bug: one customer's data, and one customer's AI actions, must never cross into another tenant.
- Every model or subprocessor you add becomes part of your customers' risk assessment, so an unlisted one turns into a diligence exception at the worst possible moment.
- New AI capability that skips your change control is the exception an auditor writes up, so it needs the same logging and access discipline as the rest of the platform.
Where it goes wrong
What a failed review actually costs.
- Cross-tenant leakage
- A scope bug that surfaces one customer's data inside another customer's session. That is a disclosure notice, a contractual exposure, and the reference call you no longer get.
- The unlisted subprocessor
- A model vendor a security questionnaire asks about that nobody put on the register. The deal waits while legal catches up, and the close date moves.
- Ungoverned feature drift
- AI capability shipped outside the change control the rest of the platform follows, found by an auditor rather than by you, which is the expensive order to find it in.
What we bring
The answers exist before the questionnaire arrives.
Your sales engineer answers from a document instead of a Slack thread, because the controls a reviewer asks about are set at build time rather than assembled under deadline: least privilege, per-tenant scoping, an approval gate on the actions that carry risk, and evidence captured as the feature runs. That comes out of large-scale systems integration and governance in environments where access control and audit are not optional.
A governed workflow
A governed workflow: shipping an AI feature that survives a customer security review.
Take a new AI feature that touches customer data across tenants, and the review that decides whether it costs you a deal.
By hand, then governed
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Access is scoped per tenant, so the feature can only ever reach the calling customer's 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.
Human approval -
Control activity is captured continuously, so a SOC 2 auditor sees evidence, not assurances.
How the governed build fits
Fewer stalled reviews, less engineering time spent on evidence.
The control evidence a customer or an auditor asks for is already there, because we wrap AI capability with permissioning, audit logging, approval gates, and compliance instrumentation. The engineering hours that would have gone into reconstructing it stay on the roadmap.
How a governed agent runs
If you are accountable for getting AI right here, let's talk.
A twenty minute intro call is the simplest next step: we work out which step fits, and you leave with one specific thing to act on. If you want the senior read on your business rather than a routing conversation, that is the AI Leverage Briefing.
Within one business dayYour scope is settled, in writing.
What you walk away with Prioritized 90-Day Roadmap · Risk Register · Governance and Compliance Gap Assessment · Safe-to-Deploy Read
25+ years in enterprise IT, including Fortune 500 regulated-data environments.
If AI is not the right tool for your problem, you will hear that from us.