Engage Raise (formerly Engage AI)

Engage Raise: Agentic Orchestration & Data Cloud Integration Review

As of January 2026, Engage Raise functions as a specialized orchestration layer for non-profits within the Salesforce ecosystem. The platform leverages Agentforce (Salesforce’s suite of autonomous agents) powered by the Atlas Reasoning Engine, which enables 'Chain of Thought' decisioning for donor interactions [Documented]. Unlike legacy systems, the architecture utilizes a hybrid data approach: Zero-ETL for native Salesforce NPSP objects and Data Federation for external legacy systems, allowing agents to reason across disparate datasets without expensive data migration [Inference].

Model Orchestration & Agentic Logic

The system utilizes Atlas to evaluate donor signals. Instead of pre-defined workflows, agents dynamically construct steps based on the current context of the donor's giving capacity and recent sentiment [Documented].

• Predictive Gift Likelihood (PGL): Aggregates signals to estimate propensity to give. While integrated, the specific model refresh frequency (real-time vs. batch) depends on the tenant's Data Cloud credits [Unknown].
• Generative Personalization: Orchestrates LLMs to synthesize impact reports. The platform acts as a secure proxy, ensuring PII is masked before reaching public model endpoints [Inference].

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Data Pipeline & Performance

The Giving Tuesday Scaling Engine is designed to handle up to 500+ transactions per second (TPS). Note: This performance is targeted for standard donation payloads (< 2KB) and relies on the underlying scalability of Salesforce Hyperforce infrastructure [Documented].

Security & Compliance Layer

Privacy is managed via a mediation framework that isolates PII. The system follows a 'Zero-Trust' model where agents only receive the minimum necessary context (Metadata) to perform reasoning tasks [Inference].

Evaluation Guidance

Technical evaluators should verify the following architectural characteristics:

• Federation Latency: Benchmark the query response time when Atlas agents access external Blackbaud data via Federation to ensure journey triggers don't timeout [Unknown].
• Reasoning Traceability: Request access to the 'Agentforce Reasoning Logs' to audit the decision-making path of the Atlas engine during high-value donor solicitations [Documented].
• Sync Mode Validation: Confirm which specific donor objects are handled via Zero-ETL versus those requiring scheduled batch-sync, as this impacts the 'real-time' nature of the PGL score [Unknown].