AI agents for regulated companies that can't use shared cloud AI.
Copilot, ChatGPT Enterprise, and most AI platforms process your data on their shared infrastructure. For companies answering to HIPAA, FINRA, SOC 2, or GDPR, that's often a policy violation before it's a product decision. Staffinity takes a different approach: the agent runs in your environment, not ours.
"Just trust our DPA" isn't a compliance strategy
Every major shared-cloud AI platform asks regulated companies for the same thing: send your conversations, documents, and client data to our infrastructure, and trust our data processing agreement. For many organizations, that trade fails review immediately — not because the vendors are dishonest, but because regulated companies are accountable for where their data goes, and "a vendor's shared cloud, under terms that can change" doesn't survive an audit.
The result is a growing gap: the businesses with the most to gain from AI agents — financial services, healthcare, legal, insurance, accounting — are the ones locked out of the mainstream options. Data sovereignty isn't a preference for these companies. It's the entry requirement.
Staffinity closes that gap with a simple architectural rule: we operate in your environment, never the reverse. Your data doesn't travel to our platform. Our platform travels to your account.
What "your environment" actually means
Data sovereignty without racking a single server.
A dedicated AWS account — yours, not ours
Every Staffinity client runs in a dedicated AWS account with isolated compute, storage, and client-specific KMS encryption keys (AES-256 at rest, TLS 1.3 in transit). Your data is never co-mingled with another client's data at any layer of the stack — no shared tenancy, ever.
Your region, your residency
Because the deployment lives in your account, you control the region your data lives in. Primary region is us-east-2 (Ohio) — data residency in the United States — with the account structure to support your residency requirements.
An audit trail you own
Every agent interaction is archived to your own DynamoDB and S3 — WORM-compliant S3 Object Lock storage in COMPLIANCE mode with 6-year retention and per-interaction HMAC integrity sealing. Meeting SEC Rule 17a-4(f). When an auditor asks for records, you hand them your logs, not a vendor's attestation.
Access enforced by your identity provider
Staffinity enforces role-based access through your existing Microsoft Entra ID groups, with per-user data scoping. Agents have zero standing permissions — access is granted per session and scoped to the authenticated user's role.
Model-agnostic, so the policy survives the market
You're not tied to OpenAI's or Anthropic's roadmap. We pick the right model for each deployment and can swap it as the landscape evolves — your data architecture and compliance posture don't change when the model does.
Fully managed, inside Teams and Slack
Staffinity agents are provisioned as first-class bots in your Microsoft Teams tenant or Slack workspace — not connectors that ship data to a third-party platform. We build, deploy, and maintain the agent. Most clients are live in 5–7 business days.
Built to answer the questions your auditors ask
Staffinity's compliance posture is public — no NDA required. CSA STAR Level 1 and CSA STAR for AI listed. AWS Well-Architected Framework Review passed with zero high-risk findings. GDPR compliant under a public DPA with Standard Contractual Clauses. Compliant with Anthropic's Zero Trust for AI Agents Foundation framework. SOC 2 audit in progress — we publish the timeline rather than claim a certification we don't hold yet.
For healthcare clients, a HIPAA-ready deployment option adds PHI detection, circuit-breaker controls, and Business Associate Agreements. For broker-dealers, a FINRA-supportive option provides verbatim conversation archiving meeting SEC Rule 17a-4(f), with 6-year COMPLIANCE-mode retention aligned with FINRA Regulatory Notice 24-09.
Full details, including our AWS Well-Architected report findings, are at trust.staffinity.io.
Data sovereignty questions, answered
Can we use AI agents if our policy prohibits sending data to third-party clouds?
Yes — that's exactly the policy Staffinity was designed for. Your agent runs inside an AWS account dedicated to you, encrypted with your KMS keys, with its audit trail written to your own storage. Staffinity operates and maintains the deployment, but the data plane stays in your environment. There is no shared Staffinity cloud holding your conversations.
Is Staffinity an on-premise deployment?
No — and for most mid-market companies that's the right answer. Staffinity runs in a dedicated AWS account rather than on hardware you racked yourself. You get the data-sovereignty properties on-prem buyers actually want — isolation, your keys, your region, your logs — without standing up a data center or hiring an infrastructure team to run it.
Where does the audit trail live?
In your environment. Every interaction is archived in WORM-compliant S3 Object Lock storage with COMPLIANCE mode and 6-year retention, sealed with a per-interaction HMAC for tamper detection. This meets SEC Rule 17a-4(f) requirements. The logs are yours — queryable, exportable, and retention-locked under your control.
Which AI models does Staffinity use?
Staffinity is model-agnostic. We select the right model for each deployment — Claude, GPT, Gemini, or others — and no client data is ever used to train AI models. Because the data layer lives in your account, changing models doesn't change your compliance posture.
See what sovereignty looks like in practice
Book a 30-minute call. We'll walk through the deployment architecture, show you exactly where your data lives, and tell you what it costs — no consultants, no proposals, no waiting.