ShareHive Agent OS
The Agent OS at the core of Agentic CRM — enterprise-governed, model-flexible, and ready on day one with 60+ prebuilt agents and 200+ skills.
A natively integrated system from interface to data foundation — designed to operate as a unified, enterprise-governed organizational brain.
Service Interaction
ShareAgent
Semantic Layer
Every AI conclusion grounds on the same definitions
Data Cloud
Three properties that define an enterprise-grade Agent OS. Each one solves a problem personal AI tools can't.
01 · Enterprise-grade
02 · Evolving
03 · Unified
Personal AI tools stop at the individual. ShareHive starts at the organization.
Customer data flows through third-party models, may enter training corpora.
Data stays inside CRM boundaries; zero retention with model providers.
Skills and prompts belong to the individual who built them; they leave with the employee.
Every skill, memory, and workflow is an organizational asset — permissioned, versioned, retained.
Generic models hallucinate on industry-specific terminology and decision structures.
CRM-native semantic layer grounds every action in your actual data model and vocabulary.
No audit trail, no permission model, no review process.
Full inheritance of CRM permissions, complete action auditability, enterprise-grade compliance.
01 · Harness engineering
One prompt from your rep — "prepare my first-meeting strategy for Acme Manufacturing." Harness decomposes it into account research, decision-chain mapping, competitive analysis, and meeting brief drafting. Each sub-task calls the right agent; results assemble into a finished doc; follow-up tasks land in CRM automatically.
02 · CRM Semantic Layer
Five modeling layers — object, field, metric, rule, relation — define your business terminology, management standards, and internal rules once. AI reasoning invokes your standards directly, so conclusions are traceable to their data source and consistent across the organization.
03 · Three-layer Know-How
Domain, industry, and your organization's private Know-How — captured, versioned, and made available to every agent. Business experts extract expertise through zero-code composition, one-click extraction, or third-party import. Enterprise-standard skills form within hours.
04 · Agent Market
Prebuilt agents classified by business, industry, and role — an expert-level agent already in position at every key business node. Every agent and skill goes through experience capture, review, and quality checks before deployment. Permissioned by role, department, and business scenario.
05 · Data Cloud
Every ShareHive agent runs on unified, governed, high-quality data. Complex data relationships supported so AI retrieves full context in one call. Business metrics pre-aggregated at the platform layer — AI reads deterministic results, ensuring one consistent standard organization-wide.
06 · Open integration
MCP and CLI protocols cover agent operations, tool invocation, and DevOps. Native connectors for Salesforce, HubSpot, and Dynamics for organizations already invested in a legacy CRM. Mainstream IM tools invoke ShareAgent directly — no changes to existing system logic.
Route to OpenAI, Anthropic, Google, open-weight, or your own fine-tuned models — per agent, per workflow, or per data class. Swap models when better ones ship.
Cloud, private cloud, or on-premise — same runtime across all. Data residency in US, EU, and APAC. VPC and hybrid available for regulated industries.
Every rollout ships with an embedded Forward Deployment Engineer — configuring the semantic layer, deploying agents, and shaping ShareHive to your business.
No new surface area. No compliance gap. Every AI application inherits the CRM's authentication, data isolation, and audit trail.
Your business know-how compounds with every workflow—without adding operational complexity.
