Enterprise decision operating layer

3A is an AI-powered enterprise analytics platform that transforms proprietary business data into governed insights, predictions, and automated decision workflows.

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Data
AI Agents
Insights
Decisions

Supervisor orchestration

Inputs → specialized agents → governed decision output

Live

Enterprise inputs

Warehouse
CRM
ERP
Documents
BI Systems

Specialized agents

Scope
Analytics
Behavioral
Predictive
Actions

Supervisor

Governance, validation, KPI consistency, confidence control, and approval logic.

Governed output

Decision Packet
Recommended action
Audit trail attached
Human-approved output

Enterprise inputs → agents → Supervisor → decision output

Supervised agent workflow

Specialized agents process data, but the Supervisor is the center of orchestration, validation, governance, and final approval.

Enterprise trust layer

Built for governed enterprise AI.

Private deployment, auditability, and data control are built into every decision workflow.

Enterprise AI

Built for business-critical decisions

Private Deployment

Runs inside controlled environments

Governance

Policies, roles, and approval flows

Auditability

Traceable outputs and decision history

Secure Data

Protected enterprise context

The decision intelligence gap

The gap between data and trusted decisions.

Most enterprises are stuck between raw data and real action - blocked by manual workflows, passive dashboards, and ungoverned AI.

Manual Reporting

Critical decisions wait on analyst queues, spreadsheet reconciliations, and one-off executive requests.

Dashboard Limitations

Static dashboards show what happened, but rarely explain why, predict what changes next, or recommend action.

Generic AI Risk

Consumer AI cannot safely reason over proprietary data without governance, access control, and audit trails.

Governed Intelligence

Policies, context, lineage, and approval turn analysis into decisions teams can trust.

Product console

From executive question to governed recommendation.

3A turns natural-language business questions into scoped analysis, KPI extraction, prediction, and auditable action.

Asked by VP Marketing

Which promotion type has the highest display success rate?

1

Question understanding

2

Scope understanding

3

KPI extraction

4

Analysis

5

Prediction

6

Recommendation

KPI intelligence

Display success rate by promotion type

Bundle

42.8%

+11.2%

BOGO

31.4%

+2.1%

Markdown

25.9%

-4.8%

Reasoning summary

Bundle promotions outperform because display inventory is concentrated in high-intent regions and basket attach rate is 18% above baseline.

Recommendation

AI · Governed

Increase bundle display allocation by 14% in tier-one stores, hold markdown spend flat, and route the plan for finance approval.

See it in action

Watch the intelligence unfold.

From a single executive question to a governed, auditable recommendation — in seconds.

app.3a.ai/analytics
MegaMart
Projects/Sales fell in Q4 vs Q3.
Why are sales dropping in Q4 compared to Q3?

I'll analyse this for you. Here's how I plan to approach it.

Analysis Plan
Plan Confirmed

Based on your question, we identified the following metric and fields as relevant for this analysis.

  • Metric: Annual Salary — primary outcome variable to measure the effect of certifications.
  • Fields: Job Title, Experience Years, Education Level, Skills Count, Industry, Company Size, Location, Remote Work Status, and Certifications Count.

Are you satisfied with this selection and do you want to proceed?

The analysis plan has been confirmed. I will generate the Analytics view for you now.

The strongest behavioral pattern appears to be the combination of higher promotion depth and regional customer responsiveness in the North region.

In this scope, the North region reacts more strongly to discount-based promotions than other regions. The analysis suggests that promotion depth is not acting alone; its impact becomes stronger when combined with region-specific demand behavior.

Why it matters:

This means the market-share increase in the North is likely not caused only by offering discounts, but by the fact that customers in that region respond more efficiently to those promotions.

Key drivers:

  • Promotion Depth: High influence
  • Region: High influence
  • Promotion Type: Medium influence
  • Time Period: Low to medium influence
Average Display Indicator by Element Category
Dataset 1
Dataset 2
Dataset 3
Insight
  • The 40–50% off promotion type is the most effective strategy, leading with a success rate of nearly 0.85.
  • Fly Buys is the least effective promotion type shown, with a success rate of approximately 0.17.
Baseline
Chat Mode: Analytics
Ask anything about your business...

Operating workflow

Connect, understand, analyze, predict, act.

A controlled path turns fragmented enterprise data into decision packets that move through approvals and execution.

01

Connect

Unify warehouse, CRM, BI, documents, and operational systems through secure connectors.

02

Understand

3A builds a semantic intelligence layer with metrics, permissions, and domain logic.

03

Analyze

Users ask business questions and receive sourced, explainable recommendations.

04

Predict

Agent models identify probable outcomes, confidence ranges, and leading indicators.

05

Act

Teams route decisions into workflows with approvals, evidence, and audit history.

Control plane

Security architecture for real enterprise use.

From retrieval to recommendation, every step is scoped, monitored, and auditable.

Private Deployment

AI access follows existing identity, role, and row-level security policies.

Governance

Every retrieval, query, prompt, and action is scoped, logged, and reviewable.

Audit Trails

Answers include source citations, confidence signals, and policy checks.

Enterprise DataGoverned Output
1
Data
2
Policy
3
AI
4
Decision
→

Awaiting enterprise data input…

1

Data layer

2

Policy layer

3

AI layer

4

Decision layer

Security architecture

Protected enterprise data environment.

Every answer is governed by data policy, identity, source lineage, and human approval rules before it becomes a decision.

Private Deployment

AI access follows existing identity, role, and row-level security policies.

Governance

Every retrieval, query, prompt, and action is scoped, logged, and reviewable.

Audit Trails

Answers include source citations, confidence signals, and policy checks.

Enterprise use cases

Built for executives, data leaders, and analytics teams.

3A focuses on the operating questions that move revenue, margin, risk, and execution quality.

Executive Reporting

Board-ready answers for revenue, margin, operational risk, and strategic performance.

KPI Intelligence

Governed KPI definitions, variance explanations, forecasts, and recommendations.

Operational Optimization

Identify bottlenecks, service gaps, cost leakage, and next best actions across teams.

Risk & Compliance

Explainable intelligence with approvals, source lineage, and auditable decision history.

Decision intelligence starts here

Your enterprise data already contains answers. 3A helps you discover them.

Build a governed AI operating layer for analytics, predictions, and automated decision workflows.

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