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AI Platform

Enterprise AI Platform

A centralized AI platform that powers every application in WOXOX with governance, security and enterprise scalability.

Not a chatbot. Infrastructure shared by every WOXOX module — apps never call LLMs directly.

AI control plane

  1. User Request
  2. Authentication
  3. Permissions
  4. Model Router
  5. Prompt Manager
  6. Knowledge Retrieval

Modules → AI Platform → Providers

Why Centralized AI

Stop every app from talking to LLMs on its own

Traditional SaaS multiplies prompts, cost, and risk. WOXOX routes every request through one governed AI Platform.

Traditional SaaS

  1. Every app talks directly to AI
  2. Duplicated prompts
  3. No governance
  4. No monitoring
  5. High cost

WOXOX

  1. One AI Platform
  2. Governed AI
  3. Reusable prompts
  4. Shared knowledge
  5. Lower cost

AI Request Lifecycle

Every request. One governed path.

User Request → Authentication → Permissions → Model Router → Prompt Manager → Knowledge → Context → LLM → Validation → Governance → Response → Audit.

Step 1 of 12

User Request

Copilot, agent, or API invoke enters the platform.

Model Router

The right model for every task

Multi-model support, cost and latency optimisation, fallback, and provider selection — OpenAI, Anthropic, Google, Azure OpenAI, open-source, and future providers.

Multi-model support

Route each task to the right model class.

Cost optimisation

Budgets, caching, and cheaper models when quality allows.

Latency optimisation

Prefer low-latency paths for interactive copilots.

Model fallback

Automatic failover when a provider degrades.

Provider selection

Policy-driven choice per tenant and workload.

  • OpenAI
  • Anthropic
  • Google
  • Azure OpenAI
  • Open-source models
  • Future providers

Prompt Manager

Reusable prompts with enterprise change control

Templates, variables, versioning, approval, testing, localization, and prompt analytics.

Reusable prompts

Shared libraries across every WOXOX module.

Templates

Structured templates for copilots, agents, and batch jobs.

Variables

Safe injection of entity fields and context slots.

Versioning

Semver prompts with rollout and rollback.

Approval

Change control before production promotion.

Testing

Eval suites and canary traffic.

Localization

Locale-aware prompt variants.

Prompt analytics

Quality, cost, and latency by prompt version.

Knowledge & RAG

Grounded answers with source attribution

Knowledge base, documents, vectors, embeddings, semantic search, context assembly, and RAG pipelines.

Knowledge Base

Curated enterprise knowledge for grounded answers.

Documents

Files and policies indexed under tenant permissions.

Vector Database

Embeddings store for semantic retrieval.

Embeddings

Consistent embedding pipeline via the Model Router.

Semantic Search

Find meaning across modules and files.

Context Assembly

Ranked snippets assembled for the LLM call.

RAG Pipelines

Configurable retrieval → generate → cite flows.

Source Attribution

Citations back to entities and documents.

Memory Layer

Context that respects tenancy and retention

Conversation, workspace, entity, business context, history, preferences, and retention policies.

Conversation Memory

Short-term dialogue state for copilots.

Workspace Memory

Tenant-scoped preferences and facts.

Entity Memory

Memory attached to deals, tickets, employees, and more.

Business Context

Live OS entities injected under permission checks.

AI History

Prior invocations for continuity and audit.

Personal Preferences

User-level tone and format preferences.

Retention Policies

TTL and legal hold aligned to compliance.

AI Agents

Orchestrated agents — never raw LLM callers

Sales, HR, Finance, Support, Marketing, Operations, Document, and Analytics agents act only through platform APIs and the Workflow Engine.

Sales Agent

Pipeline follow-ups and deal coaching via CRM entities.

HR Agent

Hiring and people workflows through People modules.

Finance Agent

Close helpers and variance explanations on finance data.

Support Agent

Ticket triage and draft replies with RAG.

Marketing Agent

Campaign drafts grounded in approved knowledge.

Operations Agent

Project and inventory exception handling.

Document Agent

Classification, extraction, and contract risk notes.

Analytics Agent

Narrative insights on cross-module metrics.

Agent orchestration uses the shared Workflow Engine and kernel permissions — plugins still cannot bypass the AI Platform.

Governance

The rule every module must follow

Permissions, policies, approval, rate limits, cost controls, audit, compliance, and safety.

Critical rule

Applications and plugins never call LLMs directly.

All requests pass through the AI Platform for authentication, routing, knowledge, governance, and audit.

Permissions

Kernel RBAC/ABAC evaluated before retrieval and tools.

Policies

Content, residency, and allowed-model policies per tenant.

Approval

Human-in-the-loop for sensitive agent actions.

Rate Limits

Per-app, per-user, and per-tenant throttles.

Cost Controls

Budgets, alerts, and hard stops.

Audit Logs

Immutable records of prompts, tools, and outputs.

Compliance

Evidence for SOC 2, GDPR, and HIPAA programs.

Safety

Filters, redaction, and blocked-topic enforcement.

Security

Enterprise AI security primitives

Encryption, prompt security, PII protection, secrets, and compliance — SOC 2, GDPR, HIPAA.

Encryption

TLS in transit; encrypted storage for prompts and artifacts.

Prompt Security

Injection defenses and template allow-lists.

PII Protection

Detection, masking, and residency-aware handling.

Secrets

Provider keys live only in the AI Platform vault — never in apps.

Compliance

Mapped controls for enterprise assurance.

SOC 2

Operational controls for trust reviews.

GDPR

Subject rights and retention for AI history.

HIPAA

Safeguards for healthcare administrative AI use.

Developer APIs

Invoke AI the only supported way

REST, SDK, streaming, webhooks, authentication, rate limits, examples, and playground.

REST API

Invoke, embed, agent run, and prompt APIs.

SDK

Typed clients for JS/TS, Python, and Node.

Streaming API

Token streaming for copilots and UIs.

Webhooks

Agent and job completion events.

Authentication

OAuth 2.0 and scoped platform tokens.

Rate Limits

Documented quotas with burst controls.

Examples

Reference apps for invoke and RAG.

Playground

Safe sandbox to test prompts and models.

Governed invoke · typescript
import { Woxox } from '@woxox/sdk'

const woxox = new Woxox({ apiKey: process.env.WOXOX_API_KEY })

// Never call OpenAI/Anthropic SDKs from an app or plugin
const result = await woxox.ai.invoke({
  capability: 'summarize',
  entity: { type: 'ticket', id: 't_42' },
})

AI Performance

Built for scale, cost, and visibility

Caching, streaming, async processing, queues, observability, tracing, monitoring, metrics, and cost analytics.

Caching

Prompt and embedding caches for repeat workloads.

Streaming

Low-latency token streams for interactive UX.

Async Processing

Long jobs off the request path.

Queues

Durable queues for agents and batch RAG.

Observability

Unified traces across router → LLM → tools.

Tracing

End-to-end spans for every AI request.

Monitoring

SLO alerts on latency, errors, and refusals.

Metrics

Quality, safety, and utilization dashboards.

Cost Analytics

Spend by module, prompt, model, and tenant.

Pricing Preview

Included, enterprise, and consumption AI

Compare how AI capability is packaged — always on the same control plane.

Included AI

Core copilots on Growth plans

  • · Platform invoke
  • · Standard models
  • · Basic governance
Recommended

Enterprise AI

Regulated & global orgs

  • · Custom policies
  • · Private models
  • · Advanced agents

Consumption AI

Elastic workloads

  • · Pay for tokens
  • · Budget caps
  • · Cost analytics

Compare Plans →

FAQ

AI Platform questions

Is Woxox AI a chatbot?

No. Woxox AI is an Enterprise AI Platform — infrastructure shared by every module. Copilots and agents are consumers of the platform, not the product itself.

Can apps or plugins call OpenAI or other LLMs directly?

No. Applications and plugins must never communicate directly with LLMs. All requests authenticate through the AI Platform for routing, governance, and audit.

Where do provider API keys live?

Only in the AI Platform secrets vault. Modules receive platform tokens — never raw provider credentials.

How does this relate to the Business OS Platform?

The AI Platform is Layer 4 of the Woxox architecture. Identity, permissions, and entities come from the Platform Kernel and Data Layer.

Woxox Business OS

Ready to run enterprise AI as infrastructure?

Explore the AI Platform architecture or book a demo — every WOXOX module already consumes this control plane.