Component 03 · Secure Surface AI
Most enterprise SaaS distribution assumes a corporate laptop, a managed device, an SSO portal, and an email habit. Frontline populations have none of those reliably. Secure Surface AI is how RedeApp solves the distribution problem the rest of the market hasn't.
The distribution problem
Standard enterprise SaaS distribution assumes a corporate laptop, a managed device, an SSO portal, and an email habit. Frontline workers carry phones — often personal phones, sometimes shared, sometimes the only device they own. They don't read email. They don't log into intranets. They don't open the dashboard.
A GSI partnering with a vendor that has solved deskless distribution avoids the single most expensive line item in any frontline transformation: building, supporting, and adopting the mobile experience itself. SSA is the architecture that makes the agent layer reachable to a population other vendors structurally cannot serve.
Input · Why the data model is the moat
Every agent delivered through SSA carries the worker's identity context — role, permissions, location, language, scope of access — from RedeKey through to the action. The agent never operates outside the boundary the worker is authorized to operate in.
For high-impact actions (anything that mutates state in an HCM, EHR, EH&S, or financial system), SSA enforces maker-checker: the agent proposes, a human approves. The same governance applies to how Shelbe learns. Every feedback signal that shapes the model is policy-bound, audited, and reversible.
Customer-private grounding with citation and permission gating — the minimum viable substrate for AI in regulated frontline industries. Defensible to CIO, CISO, CHRO, and General Counsel on day one.
Trust by design
SOC 2 Type II. HIPAA-compliant by default. Customer-managed KMS for keys. Private peering into your existing HCM / HRIS estate. Scout audit trails capture every interaction. Permission boundaries enforced at the platform level, not the agent level — so a hallucination cannot route around a policy.
As regulators tighten (EU AI Act, sector-specific frameworks, NIST AI RMF), agents that hallucinate policy become a liability. SSA's grounding-by-default, citation, and maker-checker architecture is closer to compliant-by-design than most alternatives. Package it as a regulatory premium.
Shelbe uses retrieval-augmented generation grounded in your verified Document Hub. Your proprietary knowledge never trains a public model. Zero hallucination, zero leakage.
Automated redaction and least-privilege provisioning ensure sensitive identifiers never surface in prompts or to unauthorized users.
Customer-private grounding with citation and permission-gating is the minimum viable substrate for AI in regulated frontline industries. EU AI Act, HIPAA, sectoral frameworks — all assume the architecture Shelbe ships with by default.
Shelbe reaches Workday, ADP, ServiceNow, SAP, EH&S, training, and recognition through MCP — collapsing the integration plane into a single conversational interface over the systems your enterprise already runs on.
Maker-checker controls on every high-impact agent action. Autonomous agents propose; humans approve. The same governance applies to how Shelbe learns — every feedback signal that shapes the model is reviewable, attributable, and within your team's control.
Walk through SSA
30 minutes with leadership covering identity boundaries, maker-checker enforcement, audit-trail structure, and the trust-boundary spec your CISO will need to review. We bring the architecture; you bring the questions.
