Governed autonomy for Agentforce-powered customer operations.
Integration Summary
Memrail adds deterministic governance to your Agentforce workflows - ensuring every customer-facing agent action is evaluated, governed, and traceable.
At every decision point - refunds, escalations, case routing, data updates - Memrail selects the right action from your business policies.
Every customer interaction produces a complete trace. Reconstruct why the agent escalated, refunded, or routed - in seconds, not hours.
High-risk customer situations trigger deterministic escalation - not probabilistic. Memrail guarantees the right cases reach human agents, every time.
New customer service rules start in shadow mode. See what they would do on real Agentforce traffic before activating them for customers.
Reference Architecture
Your Agentforce Agent → Memrail Decision Plane → Your Production Systems
Memrail integrates at the decision layer between your Agentforce agents and your customer-facing systems. At each decision point, it receives context and selects the right action from your service policies, SLA rules, and compliance requirements - without modifying your Salesforce configuration.
Integration Pattern
Map the critical decision points in your Agentforce workflows - refund approvals, case escalations, customer routing, data modifications, communication triggers.
Place lightweight Memrail hooks at each decision point. At each decision point, the hook sends structured context to the Memrail decision plane for action selection.
Supply case details, customer tier, interaction history, SLA state, and relevant tags at each decision point. Memrail uses this context to evaluate your service policies.
The decision plane evaluates your business rules and returns only the actions that comply with your policies - with full rationale for every decision.
Your Agentforce agent proceeds with only the prescribed actions. Actions outside policy are rerouted to human agents, deferred, or flagged for review. Every decision is traced.
Common Workflows
When a refund decision point is reached, Memrail receives the case context and selects the right action from your refund policy - amount limits, customer tier, repeat patterns, approval requirements - before any refund executes.
Escalation triggers are deterministic, not probabilistic. High-risk cases, VIP customers, regulatory situations, and sentiment thresholds reliably route to the right human agents.
Every routing decision produces a complete trace. When a case goes to the wrong team or an SLA is missed, reconstruct exactly what happened and why - in seconds.
See It In Action
The best way to evaluate Memrail with your Agentforce agents is the 14-Day Decision Authority Pilot. We'll take your hardest customer service workflow, map its decision points, run a controlled comparison of current vs. governed behavior, and deliver an integration roadmap.
Questions
Your Agentforce agents, flows, and Salesforce data stay entirely within your Salesforce org. Memrail sits at the decision layer - your agent calls Memrail at decision points, receives authorized actions, and executes them within Salesforce. Memrail can be deployed in your cloud or as a managed service.
Memrail receives only the context you provide at each decision point - case details, customer tier, interaction history, SLA state. It does not access your full Salesforce database. It stores decision traces and rule definitions, never raw CRM data.
No. Memrail integrates at the application layer via invoke hooks. Your Agentforce configuration, Einstein model settings, and Salesforce flows remain unchanged. Memrail adds governance at your decision points without replacing any existing infrastructure.
Memrail's deterministic evaluation runs in single-digit milliseconds. For customer-facing Agentforce workflows where model inference and Salesforce API calls already take hundreds of milliseconds, Memrail's governance overhead is negligible to the end customer experience.