Enterprise-Governed AI Workflows

AI Workflows That Remember and Improve.

SMENOX connects enterprise knowledge to governed AI workflows, verifies outputs before delivery, and turns approved work into reusable business memory.

Trusted knowledge inputsVerification before deliveryBusiness memory after approval
The Governed Neural Loop
Node 1
Input KB
Node 2
Verify & Govern
Node 3
Business Memory
How It Works

One Governed Loop,
Not Another Chat Window

SMENOX turns enterprise knowledge into repeatable AI work that can be checked, delivered, and remembered.

01 / INPUT

Connect trusted knowledge

Bring in documents, decisions, policies, examples, and connected tools so every workflow starts from business reality.

02 / RUN

Execute the workflow

Use structured AI work instead of one-off prompts, with planning, context retrieval, and task-specific output generation.

03 / VERIFY

Govern before delivery

Check generated work against knowledge, standards, evidence, and risk signals before it reaches people or channels.

04 / REMEMBER

Store what proved useful

Turn approved outputs and feedback into reusable business memory so future workflows improve over time.

Platform Controls

Controls for AI Work
Teams Can Actually Trust

The platform is organized around one value chain: trusted context in, governed workflow execution, verified output out, and business memory retained.

KB

Enterprise Knowledge Base

Keep policies, documents, operating patterns, and lessons available as governed context for every workflow.

CN

Source Connectors

Bring Drive, GitHub, Slack, Notion, Microsoft 365, and other sources into a controlled knowledge surface.

VG

Verification Layer

Review outputs for quality, consistency, evidence gaps, and policy fit before delivery.

WF

Workflow Execution

Move from raw prompting to repeatable work patterns with planning, execution, review, and delivery steps.

MCP

Governed App Access

Let Claude, ChatGPT, Gemini, Cursor, and internal tools retrieve SMENOX context without bypassing controls.

BM

Business Memory

Capture approved work, feedback, and validation signals so the next run has more organizational context.

Pricing

Start With One Loop.
Scale When It Works.

Begin with a small governed knowledge base, then add more workflows, connectors, delivery channels, and access controls as the team depends on SMENOX.

Starter
$0 / month
For proving the loop on one workspace.
  • 50 KB entries
  • 10 AI tasks/day
  • 3 connectors
  • Basic verification
  • Community support
Start Free
Pro
$19 / month
For operators running verified AI tasks daily.
  • 500 KB entries
  • 100 AI tasks/day
  • All connectors
  • Full verification
  • MCP API & webhooks
  • Priority support
Join Waitlist
Enterprise
$99 / month
For mission-critical governed AI systems.
  • Unlimited KB
  • Unlimited tasks
  • Custom connectors
  • Team RBAC
  • SSO & MFA
  • Dedicated onboarding
Join Waitlist
Includes onboarding support
No credit card requiredWorkspace boundariesGoverned app accessVerification-first workflows
Business Use Cases

Where The Loop Pays Off

Use SMENOX where AI output needs company context, review standards, delivery discipline, and memory across repeated work.

OperationsSupportConsultingComplianceKnowledge teams
Review proposals, reports, support responses, and internal analysis before AI work reaches clients, leadership, or regulated workflows.
QA
Quality Review
Validation before delivery
Reuse approved policies, examples, decisions, and feedback so repeated tasks become more consistent instead of starting from zero.
KB
Enterprise Memory
Persistent context across runs
Connect SaaS apps, documents, and team knowledge into one governed layer that AI tools can query without copying content everywhere.
OPS
Knowledge Operations
Source-aware AI workflows
FAQ

Questions Before The First Run

What is an AI workflow?
A workflow is a structured request that uses governed knowledge, runs through execution and review stages, and returns an output with validation signals.
What does verification check?
SMENOX checks quality, consistency, missing evidence, policy fit, and whether the output is ready to deliver or should be revised.
How does business memory work?
Approved outputs, useful feedback, and validation learnings become reusable context so future workflows can start smarter.
Which connectors are supported?
The platform is designed for sources such as Google Drive, GitHub, Slack, Notion, Jira, Confluence, and Microsoft 365. Availability may vary by plan and deployment.
Is my data secure?
SMENOX is built around workspace boundaries, authentication controls, audit visibility, and secure handling of operational knowledge. Enterprise deployments can add stricter access and infrastructure requirements.
Contact

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