Give AI the shape of your business.
Built to give AI the shape of your business, Customer Zero connects your data sources, operating context, and access rules to one governed Snowflake Model Context Protocol (MCP) endpoint that enterprise AI clients can query securely.
Integrate → Distribute → Serve
Illustrative signal path
Sources
Customer Zero
Single source
of truth
AI clients
Claude 
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Gemini Enterprise Diagram: Google Ads, Google Analytics 4, and Meta Ads connect into the Customer Zero core, the single source of truth. A permission gate scoped to one example person controls what passes through. Approved context then reaches Claude, ChatGPT, and Gemini Enterprise. Sample names and values are illustrative, not live data.
- Many
- Sources
- Scoped
- Access
- One
- Endpoint
One system, three registers.
Integrate, distribute, and serve are the same governed pipeline — not three separate products.
- 01 / INTEGRATE / DATA GOVERNANCE
Foundational Data Governance: Connect sources and select entities.
Bring in accounts, properties, and locations that matter — isolating credentials and unifying schema instances.
- 02 / DISTRIBUTE / STRESS-TEST
Internal Production Stress-Testing: Scope access and battle-test workflows.
Run real operational workflows and team queries through governed instance grants before customer release.
- 03 / SERVE / ROLLOUT
Enterprise Market Rollout: Connect AI clients to governed Snowflake MCP.
Deploy verified, production-ready applied AI endpoints to Claude, ChatGPT, and Gemini Enterprise with zero data leakage.
Operational maturity: The Customer Zero advantage.
Move beyond superficial dogfooding and passive QA to live production stress-testing.
| Dimension | Traditional QA | Informal Dogfooding | Customer Zero Model |
|---|---|---|---|
| Environment | Isolated staging / mock data | Non-critical internal beta | Live core production workflows |
| Data Governance | Static synthetic fixtures | Unmonitored test accounts | Governed Snowflake MCP with instance grants |
| Failure Stakes | Zero immediate business cost | Internal friction or ignored bugs | Real operational stakes driving rapid hardening |
| Model Verification | Unit tests & prompt heuristics | Ad-hoc user impressions | Production telemetry, audit logs & SLA bounds |
| Market Readiness | Unproven under real operational load | Fragmented feedback | Battle-tested and enterprise-proven |
Your business already speaks in systems.
Google Ads, Google Analytics 4, Meta Ads, and Clockify are self-serve today. Google Business Profile is operator-provisioned. Quinos POS is an operator-provisioned source in beta. Xero connection setup exists in the product, but no ingestion workflow runs for it yet, so it does not currently feed the served data pipeline.
- Google Ads
- Meta Ads
Which campaigns actually drove revenue, not just clicks?
- Google Analytics 4
Where do visitors actually drop off before converting?
- Google Business Profile
- Quinos POS
Which locations are earning attention but not orders?
- Xero
Which channels are profitable once real costs are counted?
- Clockify
Where is billable time actually going across client work?
- Knowledge Harness documents
What operating context should AI already know before it answers?
Source availability, support status, authentication method, and self-serve behavior vary by source type — some are operator-provisioned rather than self-serve.
Numbers need operating context.
Free-form context documents live alongside connected source data in Snowflake MCP — brand voice, audience, playbooks, and preferences an AI client can read the same way it reads a source table.
- Brand voice: direct, useful, never inflated.
- Audience: multi-location operators and their teams.
- Campaign playbook: measure outcomes, not activity.
- Preference: explain the source and freshness of every answer.
These are authored, generic examples — not a real customer's document.
The answer is only useful when the right people can reach it.
Access follows a specific path, not a single account-wide switch.
Source instanceConsumer userAI client
- Specific active-instance grants scope exactly which connected sources a person can reach.
- Dashboard memberships determine who has any access to a client's workspace at all.
- Consumer access is separate from membership — a person can be granted read access without admin rights.
- Connection boundaries and operational status are visible rather than hidden behind a single "connected" label.
- Healthy
- Needs attention
- Stale
- Access lost
One endpoint. Different clients.
Claude, ChatGPT, and Gemini Enterprise connect to the same Snowflake MCP endpoint. The authenticated product provides per-client connection guidance and provisioning/status information — never a bare secret on this page.
Your organization's MCP server URL and access token — issued once you sign in, never shown here.
Request access- Claude
- ChatGPT
- Gemini Enterprise
Know what is connected, current, and ready.
The product exposes provisioning, freshness, warning, and failure states so operators can act — not a single always-green indicator.