Compliance & Governance
AI that your legal team will actually sign off on.
Autonomous agents create real liability exposure in regulated environments. We architect the controls, audit trails, and data policies that make AI deployable — not just possible.
Regulated environments we serve
The governance gap
Most AI implementations stall at the compliance review.
The technical build isn’t the problem. The problem is that autonomous agents making decisions on regulated data create obligations that most platform vendors don’t address — and most consultants don’t think about until it’s too late.
Legal needs to know what the agent saw and why it acted. Compliance needs to know where PHI or PII went. Risk needs to know what happens when the agent is wrong. We build architectures that answer those questions before they become incidents.
What uncontrolled AI risk looks like
- Agents accessing PHI outside their authorized scope
- Unmasked PII transmitted to external LLM providers
- No audit trail for autonomous decisions affecting customers
- Data retained by third-party AI after processing
- Agent actions that conflict with contractual or regulatory obligations
The Governance Framework
Four layers every compliant AI architecture needs.
We implement governance at every layer of the stack — not as an afterthought, but as a structural constraint the agent operates within from day one.
Service Capabilities
What we actually build.
HIPAA Architecture Design
Salesforce and Agentforce environments architected to meet HIPAA Technical Safeguard requirements — access controls, audit controls, integrity controls, and transmission security.
- PHI field classification and masking
- Covered entity / BA agreement alignment
- Minimum necessary access enforcement
Agent Guardrails & Scoping
Explicit permission boundaries, topic restriction lists, and tool-level access controls that define precisely what an autonomous agent can see, say, and do — and what it cannot.
- Einstein Trust Layer configuration
- Guardrail topic definition
- Escalation path design
Audit Trail Architecture
Structured, queryable logs of every agent decision, data access event, and system action. Built for legal hold, compliance review, and incident response — not just system monitoring.
- Decision-path attribution
- Legal hold-ready export format
- Anomaly alerting
Data Residency & Retention
Policy-enforced controls on where regulated data is stored, how long it is retained, and what happens when retention periods expire. Aligned to HIPAA, GLBA, or your contractual obligations.
- Zero-copy architecture where applicable
- Automated retention policy enforcement
- Cross-border data flow documentation
Compliance Readiness Assessment
A structured review of your current Salesforce environment, AI deployments, and data flows against the regulatory framework that governs your business — with a prioritized remediation roadmap.
- Current-state gap analysis
- Prioritized remediation roadmap
- Regulator-ready documentation
Role-Based Access Design
Salesforce permission set architecture, profile design, and agent-specific access controls that enforce least-privilege access for both human users and autonomous agents operating on sensitive data.
- Permission set and profile audit
- Agent persona scoping
- Privileged access review
Risk Mapping
Regulatory exposure by industry.
The governance controls we implement are calibrated to the specific regulatory framework your business operates under.
| Industry | Primary Regulation | Key AI Risk | Our Control |
|---|---|---|---|
| Healthcare | HIPAA / HITECH | PHI exposed to external LLM; agent accesses beyond minimum necessary | PII masking, scoped agent personas, zero data retention enforcement |
| SBA Lending | SBA SOP 50 10 / GLBA | Non-public borrower data used in AI training; adverse action without explainability | Zero-copy architecture, decision-path logging, audit-ready exports |
| Financial Services | GLBA / SOX | Uncontrolled data retention, agent decisions affecting account access | Retention policy enforcement, guardrail topics, role-based controls |
| Legal & Professional | State bar rules / privilege | Privileged content accessed by AI; conflict-of-interest screening gaps | Field-level access controls, agent scope restrictions, audit trails |
| eCommerce / Retail | CCPA / PCI-DSS | Consumer PII in agent prompts; payment data in AI context windows | PII masking, data classification, consent and opt-out enforcement |
Our Process
How we build governance-ready systems.
Regulatory Mapping
Identify the specific frameworks governing your business — HIPAA, GLBA, CCPA, SBA SOP, or contractual obligations — and translate them into concrete technical requirements for your Salesforce and AI environment.
Data Classification & Flow Audit
Map every data element your AI systems touch, classify PHI/PII, document cross-system flows, and identify where regulated data currently moves without adequate controls.
Control Architecture Design
Design the layered governance architecture — data, trust, agent, and observability layers — with explicit decisions at each layer documented and defensible to regulators or auditors.
Implementation & Configuration
Configure Einstein Trust Layer, implement permission architectures, build audit logging, enforce retention policies, and test guardrails against adversarial inputs before go-live.
Documentation & Ongoing Review
Produce regulator-ready documentation of your governance architecture, and establish a review cadence to keep controls current as your AI deployments and regulatory landscape evolve.
Frequently asked questions
Common questions about AI compliance & governance
Does the Einstein Trust Layer make Agentforce HIPAA compliant?
The Einstein Trust Layer is a critical component — it enforces zero data retention by external LLMs, automatic PII masking, and audit logging. But it is not HIPAA compliance by itself. HIPAA compliance requires a full architecture: proper data classification, access controls, Business Associate Agreements with applicable vendors, audit controls, and documented policies. The Trust Layer handles the transmission and LLM side; Archer Ajax designs the complete HIPAA-aligned stack.
What is zero data retention and why does it matter for regulated industries?
Zero data retention means that when Salesforce sends a prompt to an external LLM provider (like OpenAI or Anthropic), the provider contractually agrees not to store, log, or use that data for training. This is a prerequisite for using AI in HIPAA-governed environments, because PHI cannot be retained by unauthorized third parties. The Einstein Trust Layer enforces this at the platform level; Archer Ajax verifies the configuration and documents it for compliance purposes.
How do agent guardrails work in Agentforce?
Guardrail topics in Agentforce are explicit definitions of what the agent must never do or say — for example, providing specific medical diagnoses, discussing competitor pricing, or accessing records outside its assigned account scope. These are configured at the agent persona level and enforced by the Atlas Reasoning Engine before any action is taken. Archer Ajax defines guardrail topics based on your regulatory obligations and business risk profile, then tests them against adversarial inputs.
What does a compliance readiness assessment cover?
Our assessment reviews your current Salesforce org configuration, any AI or agent deployments, data flows involving regulated data, permission and profile architecture, and existing data retention policies. We map the current state against your applicable regulatory framework and deliver a prioritized remediation roadmap with estimated effort for each control gap. The output is actionable, not just a list of findings.
Do you work with organizations that aren’t yet on Agentforce?
Yes. Some engagements start with a governance assessment of an existing Salesforce org before any AI is deployed — establishing the right data architecture and access controls first means AI can be introduced safely when the organization is ready. It’s significantly more cost-effective than retrofitting governance after agents are already operating on live data.
Compliance Review
Find out where your AI governance gaps are before your auditors do.
A structured compliance readiness assessment covers your Salesforce environment, AI deployments, and data flows against your regulatory framework — and delivers a concrete remediation roadmap.