Built for Enterprise Scale
From raw data ingestion to conversational delivery, every layer is optimised for performance, security, and scalability.
AI Agent Layer
Pre-built and custom agents that understand business context and deliver domain-specific intelligence through natural language queries.
- Natural language query interface
- Auto-generated charts and visualisations
- Multi-agent workflow orchestration
- Drag-and-drop agent configuration
MCP Gateway & Semantic Layer
Unified data access with RBAC permissions, audit trails, and a business-friendly semantic model that governs how metrics are defined and queried.
- Governed metric dictionary
- RBAC permission management
- Full query audit trails
- Business-friendly semantic model
Data Connector Layer
50+ pre-built connectors for databases, warehouses, ERP, CRM, SaaS platforms, and REST APIs. Custom connectors for proprietary systems.
- Relational & NoSQL databases
- Cloud data warehouses
- ERP & CRM systems
- SaaS & REST API connectors
Pre-Built Agents for Every Business Function
Deploy intelligent agents that understand your business context and deliver domain-specific insights instantly.
Sales & Revenue Agent
Real-time sales performance tracking, revenue forecasting, and customer behaviour analysis. Get instant answers on pipeline health, conversion rates, and growth opportunities.
- Revenue trend analysis
- Pipeline tracking
- Customer segmentation
- Conversion optimisation
- Sales forecasting
- Campaign ROI tracking
Financial Reporting Agent
Automated financial reporting, budget variance analysis, and compliance monitoring. Transform complex financial data into clear, actionable insights for stakeholders at every level.
- Automated P&L reports
- Budget variance analysis
- Cash flow monitoring
- Compliance tracking
- Cost centre analysis
- Financial forecasting
Supply Chain Agent
End-to-end supply chain visibility, inventory optimisation, and production scheduling. Detect anomalies early and keep operations running at peak efficiency.
- Inventory optimisation
- Supplier performance
- Demand forecasting
- Production scheduling
- Anomaly detection
- OEE tracking
Digital HR Decision Hub
Workforce analytics, talent pipeline insights, and compensation benchmarking. Turn HR data into strategic decisions that attract, retain, and develop top talent.
- Headcount tracking
- Attrition analysis
- Compensation benchmarking
- Talent pipeline
- Performance metrics
- Workforce planning
Enterprise Risk Agent
Continuous risk monitoring, anomaly detection, and compliance tracking. Identify emerging threats before they materialise and ensure regulatory compliance across all operations.
- Financial risk monitoring
- Compliance tracking
- Anomaly detection
- Fraud pattern identification
- Regulatory reporting
- Real-time alert system
Marketing Analytics Agent
Campaign performance tracking, customer journey analysis, and attribution modelling. Optimise marketing spend and maximise ROI with data-driven insights delivered in real time.
- Campaign ROI analysis
- Customer journey mapping
- Attribution modelling
- Channel performance
- Conversion funnel analysis
- Audience segmentation
50+ Pre-Built Data Source Connectors
Connect to any data system in your enterprise. From relational databases to cloud warehouses, ERP systems to SaaS platforms.
+ 30 more connectors available. Custom connectors can be built for proprietary systems.
Everything You Need for Conversational BI
Enterprise-grade capabilities designed for performance, security, and ease of use.
Role-Based Access Control (RBAC)
Granular permission management ensures users only see the data they are authorised to access.
Full Audit Trails
Every query, data access, and configuration change is logged and traceable for compliance.
Auto-Generated Charts
Visualisations created automatically from natural language queries with no manual configuration.
Multi-Language Support
Query in English, Chinese, or any language. The platform understands context and intent.
PII Redaction
Automatic detection and redaction of personally identifiable information in query results.
Real-Time Sync
Real-time data synchronisation and automated reporting with configurable refresh intervals.
No-Code Configuration
Visual drag-and-drop agent configuration with no programming required.
Private Deployment
Deploy on-premises or in your private cloud. Your data never leaves your infrastructure.
Multi-Agent Workflows
Combine pre-built agents into multi-agent workflows for complex, cross-functional analysis.
Enterprise-Grade Security & Compliance
Built from the ground up to meet the most demanding enterprise security requirements.
Information Security Management
Service Organisation Controls
National Security Standard
Frequently Asked Questions
Technical and practical questions about the Beehive Strategy MCP-powered platform architecture.
What is the MCP architecture used by Beehive Strategy?
Beehive Strategy's platform uses a three-layer MCP architecture: a Data Connector Layer (50+ pre-built connectors for databases, ERP, and SaaS systems), a Semantic Layer (governed metric dictionary with business definitions), and an AI Agent Layer (LLM-powered agents for natural language queries). This architecture enables AI agents to access and interpret enterprise data reliably.
How does MCP work with existing data systems?
MCP (Model Context Protocol) acts as a universal middleware layer. It connects to your existing databases, data warehouses, ERP systems, and SaaS tools through standardised connectors. The semantic layer sits on top, providing governed business metrics that AI agents can query without requiring changes to underlying systems.
What data sources does the platform support?
The platform includes 50+ pre-built data connectors covering relational databases (MySQL, PostgreSQL, SQL Server), cloud data warehouses (Snowflake, BigQuery, Redshift), ERP systems (SAP, Oracle), and Chinese business tools (WeChat Work, DingTalk, Feishu, Alipay). Custom connectors can be built for proprietary systems.
How does the AI agent marketplace work?
The AI agent marketplace provides pre-built, industry-specific agents for tasks like demand forecasting, financial risk monitoring, OEE tracking, and customer segmentation. Agents can be configured without code, combined into multi-agent workflows, and extended with custom logic for specific business processes.
Is the platform secure for enterprise use?
Yes. The platform implements role-based access control (RBAC), data-level permissions, PII redaction, full audit trails, and encrypted data transmission. All data processing can be deployed on-premises or in the customer's private cloud. The architecture complies with PIPL, GDPR, and enterprise security standards.
Can MCP integrate with existing BI tools like Tableau or Power BI?
Yes. The MCP semantic layer acts as a governed metrics layer that existing BI tools can query alongside the conversational BI interface. Teams can continue using Tableau, Power BI, or Metabase dashboards while also accessing the same metrics through natural language conversations in WeChat Work, DingTalk, or Feishu.
Ready to Transform Your Data?
Book a demo and see how the Beehive Strategy platform works with your own data.