SocialHub.AI
Platform · The Engine

Under the hood: the engine that runs the loop.

The data, semantics, agent and governance layers that make the loop autonomous and governable.

Talk to a solutions engineer

From a siloed stack to an agent-run loop.

Each generation solved a real problem. The loop runs on the engine we once called our CIP — the technical foundation, still here.

First generation

CRM

Managed relationships. Recorded what happened. Could not predict what should happen next.

  • -Transaction records
  • -Manual segmentation
  • -Rule-based batch campaigns
Second generation

CDP

Aggregated data. Created unified profiles. But left a gap between insight and execution.

  • -Data without action
  • -18-month avg. implementation
  • -Insight-to-action latency: weeks
Now

Agent-run Loop

An AI-agent-run retention loop on a 5-layer engine — the technical foundation we used to call our CIP, still here, now driving a self-optimizing loop. AI participates in real business judgment.

  • +Data + semantics + agents + tools + governance
  • +MCP-native callable capabilities
  • +Sits on top of D365, Salesforce, SAP

The five layers that run the loop.

Every layer works together. No integrations. No data silos. No gaps.

L1

Unified Data Fabric

Converts heterogeneous, multi-system data into trustworthy, real-time, auditable assets. Three outputs: Event Stream, Golden Record, Serving Views. Kafka + Flink + StarRocks.

L2

Business Semantic Layer

Translates raw data into business language: entities, attributes, relationships, intent, segments, and governed metrics. Makes AI judgment explainable.

L3

AI Agent Layer

Scoped decision roles — AI Consultant, Data Analyst, Marketing Designer, Loyalty Advisor — each with defined judgment boundaries. Not chatbots; structured decision participants.

L4

Business Application Layer

Enterprise capabilities exposed as callable, governable tools via MCP. Four domains: Identity & Entitlement, Economic Incentive, Content & Reach, Service & Responsibility.

L5

Workflow & Governance

Converts AI judgment into enterprise action under security, compliance, and audit constraints. Four action types with escalating authorization. Full traceability.

Autonomy you can govern.

This is where “humans set goals and guardrails” becomes real — the governance layer turns autonomy into something auditable and controllable. Four action types with escalating authorization, full traceability of who acted, on what basis, and why it was allowed.

SOC 2 Type II · CCPA/CPRA-ready · ISO · Azure-native

Read Trust & Security →

See the engine run on your data.

Azure Co-Sell Ready
400M+
SOC 2 · CCPA/CPRA · ISO
50 brands, 12 countries
Mercer Island, WA