PRODUCT OVERVIEW
Directive
Combines Salesforce signals into a prioritized queue that explains what to do next and why.
PRODUCT FAMILY
Orchestration
BUILT FOR
Salesforce Service Cloud orgs, service-ops and RevOps teams, B2B support organizations
PLATFORM
Salesforce
LICENSE
Proprietary, source-available. Commercial license required for any use.
PRICING
Custom
VERSION
1.0.0

THE NEED
The problem it solves
Teams need a clear way to prioritize work when important signals are scattered across records and list views.

THE PRODUCT
How it works
Directive brings Salesforce work into a single prioritized queue. Configurable rules score incoming signals and explain why each item needs attention. Teams can review recommendations and take permitted actions from the workspace, with checks that prevent duplicate execution and preserve an audit record. Agentforce helps explain, summarize, classify, and recommend; record changes follow controlled actions.


CAPABILITIES
Key features
Full operational loop: Detect, Understand, Prioritize, Explain, Execute, Measure, built on 6 custom objects and 5 Custom Metadata Types
DirectivePriorityService: a fully explainable, decomposable scoring engine, every point traceable via the PriorityExplanation UI
Typed action registry (Directive_Action_Definition__mdt) with custom-permission checks and idempotent audit rows (Directive_Action_Run__c) before any DML
React + TypeScript multi-framework UI Bundle with 8 routes: Today, Work, Work Detail, Customers, Approvals, AI Activity, Insights, Settings
Agentforce employee agent scoped to explain, summarize, classify, and recommend, never to execute unrestricted DML
Mock-data dev mode (VITE_DATA_MODE) for exploring the full UI before wiring live Salesforce data via a repository/adapter seam
USE CASES
Where it helps
Service-ops teams triaging which case, account, or signal to act on next without digging through list views
Managers reviewing prioritized, explainable work queues instead of raw CRM records
Admins configuring rules, personas, actions, and scoring via Custom Metadata without code changes
Agentforce-assisted summarization and recommendation on top of an auditable action trail
Teams evaluating the UI against realistic mock data before connecting live Salesforce data