Enterprise AI BI_ARCHITECTURE

End the 'Whose Numbers Are Right?' Debate

Define your core business metrics once. Allow your entire organization to query them securely in plain English, guaranteeing 100% consistency across departments.

Start Free Trial
14-DAY TRIAL
NO CREDIT CARD
The Semantic Layer for the AI Era
AI analytics will fail at the enterprise level unless anchored to a strict **Data Semantic Layer** that governs mathematical definitions. **Enterprise AI BI** requires more than a chat interface; it requires **Metric Governance**. With Arcli, data leaders define 'Active User' once. Whenever anyone asks a question involving those terms, the platform forcefully applies your strict definition, ensuring a true **single source of truth** across the entire organization.
LIVE_TELEMETRY_TRACE

Semantic Metric Propagation Traces

~ query "SELECT * FROM metrics"
Total Execution1.2ms
Definition (Semantic Hub)
---
> Metric 'Net Revenue' established and locked.
Execution (Sales Chatbot)
---
> Routed query mapped directly to 'Net Revenue' node.
Execution (Finance Dashboard)
---
> Governed metric block injected into visualization compilation.

Architectural Takeaway: Arcli bypasses standard compilation for sub-millisecond execution.

// STRATEGIC_SCENARIO

Deep Data Retrieval

How Arcli grounds AI in your exact schema to generate highly-optimized, dialect-specific execution logic.

Governing Complex Calculations: NRR

Instead of having 5 different NRR formulas floating around in various spreadsheets, Arcli locks the definition in the semantic layer.

THE EXECUTIVE FILTER (ROI)

Provides absolute executive confidence. Leaders make decisions based on audited, system-enforced logic.

  • Fully optimized for sql constraints.
  • Bypasses semantic layer hallucinations via strict schema grounding.
sql_COMPILE

-- AI Semantic Router Output: Net Revenue Retention (NRR)
-- Enforced globally for all 'NRR' related prompts
SELECT 
    customer_tier, 
    SUM(current_arr) / NULLIF(SUM(starting_arr), 0) AS net_revenue_retention 
FROM tenant.enterprise_accounts 
WHERE months_active >= 12 
GROUP BY 1;
// COMPETITIVE_ANALYSIS

The Competitive Edge

Why the world's most aggressive teams are migrating from legacy stacks to Arcli's unified engine.

Business User Accessibility

LEGACY_APPROACH

Requires SQL/LookML knowledge

ARCLI_ADVANTAGE

Plain English queries

Implementation Speed

LEGACY_APPROACH

Months (Manual YAML definition)

ARCLI_ADVANTAGE

Hours (AI Maps Schema)

Metric Consistency

LEGACY_APPROACH

System-Enforced

ARCLI_ADVANTAGE

System-Enforced

// STRATEGIC_DEPLOYMENT

Strategic Deployment

Real-world orchestration patterns deployed by our top enterprise partners.

Leverage Your Existing dbt Models

Zero wasted engineering effort. Arcli natively integrates with the modern data stack, inheriting the rigorous transformations and tables your data engineers have already perfected.

Stop Guessing the Root Cause

When a KPI dips, the platform automatically performs variance analysis, highlighting the specific region or customer segment causing the drop instead of just reporting the aggregate loss.

Related Resources

Slack & Teams Integration

Deploy your governed metrics directly into enterprise chat.

Read

Security & Auditing

Review our cryptographic query logging and RBAC.

Read

Ready to dive in?

Get started with Arcli today.

Start Free Trial
// DOCUMENTATION

Expert Insights

Everything you need to know about implementing Arcli's engine into your stack.

How do you ensure metric consistency across departments?
Through our AI Semantic Routing layer. A data leader defines a term once. If Marketing and Finance both ask for 'Revenue,' the AI forcefully compiles the exact same underlying SQL block.
Can we restrict access to specific departments?
Yes. Arcli integrates with Okta/Azure AD to inherit row-level security. You can create isolated workspaces ensuring users only query data they are explicitly authorized to see.