Five Value Propositions

Collaboration · Business integration · Security · High availability · Data insight

Five concrete things Evose gives an enterprise. Each maps directly to capability, not slogans.

1 · Team Collaboration and Shared Intelligent Apps

What it does: workspace-level resource sharing + role-based collaboration + a unified entry point for AI applications.

Result: build AI once across departments — anything visible in the org is usable. The customer service team's Agent can be used directly by sales; an R&D research assistant can be called by legal.

Best for: cross-departmental AI projects and enterprise-wide AI capability sharing.

→ Workspace Model · Workbench

2 · Deep Integration of AI with Business Processes

What it does: low-code / visual Agent · Workflow · Chatflow + integration with business systems.

Result: AI is embedded inside CRM, HR, customer service, and ticketing flows — not opened as a separate window beside them.

Benefit: lower the barrier to AI adoption and accelerate digital transformation of business processes.

→ Agent · Workflow · Integrations

3 · Enterprise-Grade Security and Fine-Grained Control

What it does: complete organizational structure, two-layer RBAC + ACL, workspace-level data isolation, full audit logs, and field-level encryption.

Dimension	Implementation	Granularity
Identity	Enterprise SSO · Email login	User-level
Access control	RBAC + ACL	Resource-level
Data isolation	Workspace isolation + encrypted storage	Tenant-level
Audit trail	Tamper-proof operation logs	Operation-level

Compliance: meets MLPS (Multi-Level Protection Scheme) requirements / GDPR data protection principles / ISO 27001.

→ Security Overview · Deploy · Defense in Depth

4 · Highly Available LLM Infrastructure — Business Doesn't Stop

What it does: Round Robin load balancing + Failover + real-time health checks.

Result: when any single model provider hiccups, Evose switches automatically; the business layer doesn't need to know.

Commitment: 99.9% service availability (depending on deployment form).

Capability	Behavior
Round Robin	Round-robin request distribution across model instances
Failover	Automatically switch to a backup when the primary is unavailable
Health checks	Real-time monitoring; proactively eject unhealthy instances
Elastic scaling	Horizontally scale model instances under private deployment

→ Model Platform

5 · End-to-End Data Insight · Continuous Optimization

What it does: three pillars of observability × four dimensions of analysis.

Logs                Metrics                  Traces
├ App execution     ├ Call volume            ├ Request traces
├ User actions      ├ Response time          ├ Agent execution path
└ System errors     ├ Resource utilization   └ Workflow node latency
                    └ Cost attribution

Four dimensions:

Dimension	Used to answer
Organization	How many Credits did the company spend today? Which workspace consumed the most?
Workspace	How is team productivity? Which Agent is most popular?
Resource	Where is this Agent / Workflow slow? What is the cost breakdown?
User	Who uses it most? Whose usage pattern looks anomalous?

→ Observability

Next Steps

Want to see deployment options → SaaS vs Private
Want to see if it fits you → Who It's For / Not For
Want hands-on right now → 5-minute walkthrough