Feature
Prompt and Get Data 1,000 Feet Deep
Live enterprise data. Any question. Under 65ms.
Access critical data across 8–12 disconnected tools instantly. The ADA Integration Layer connects agents natively to databases with 2–15ms latency no slow APIs. Query operations, finances, inventory, pipeline, or customers and receive precise answers from live enterprise data in under 65ms. No cached summaries. No dashboard approximations.
2–15 ms
Database query latency
<65 ms
Full answer delivery time
5×
Reduction in hallucination rate
8–12
Disconnected tools unified
Overview
Most enterprise dashboards show you a simplified, cached, 24-hour-old view of your business. SuperManager AGI gives you something fundamentally different: real-time access to the actual data living inside your operational databases without the overhead of REST APIs, GraphQL layers, or rate-limited SaaS connectors.
The ADA (Agentic Data Architecture), which is the proprietary architecture of SuperManager AGI, includes an Integration Layer that establishes direct, permissioned connections to your databases Postgres, MySQL, MongoDB, Snowflake, BigQuery, and others. When you ask a question, agents query the source of truth directly. Latency drops from 200–500ms (typical API-based retrieval) to 2–15ms. Answers aren't approximations pulled from a reporting layer they reflect the state of your business right now.
This also fundamentally reduces hallucination. Rather than the LLM inferring or guessing values, agents retrieve exact figures from your data sources and ground every answer in evidence. Hallucination rates drop from 22.4% (typical RAG systems) to 4.2% a 5x improvement that makes the difference between a tool you trust and one you constantly double-check.
Benefits
Live Data, Not Cached Summaries
Every query hits the source database directly. You're never looking at yesterday's numbers or a stale reporting snapshot you're seeing the state of your business right now.
Cross-System Answers in One Query
Ask a question that spans inventory, finance, and CRM agents query all three simultaneously and synthesize a unified answer. No manual cross-referencing required.
Evidence-Grounded Outputs
Answers are constructed from retrieved evidence, not LLM inference. Every data point in a response is traceable to a specific row or document in your actual data systems.
No API Rate Limits
Direct database access bypasses SaaS API rate limits entirely. Run 100 data queries in a workflow without throttling or queuing delays.
Natural Language to SQL (and more)
No need to know query languages. Ask in plain English the agent generates, validates, and executes the appropriate query against the right data source automatically.
Use Cases
CEO
Prompt: 'What's our GMV this week vs last week, broken down by channel and category?'
Agents query Shopify, Amazon Seller Central, and Flipkart seller APIs simultaneously, aggregate GMV by channel and category, and return a clean comparison table in under 65ms.
Supply Chain Lead
Prompt: 'Which SKUs have less than 7 days of stock left and have pending purchase orders?'
Agent cross-references inventory levels in the WMS with open POs in the ERP, returns a prioritized list of at-risk SKUs with PO status and expected delivery dates.
Sales Director
Prompt: 'Show me all enterprise deals above ₹50L that haven't had activity in 14+ days.'
Agent queries Salesforce CRM with precise filters, returns a list of 8 stalled deals with last activity timestamps, deal owners, and next step fields ready to act on.
How It Works
Step 1
Query Intent Recognition
Your question is parsed to identify the data entities, filters, aggregations, and time ranges required mapped against your indexed data source schemas.
Step 2
Source Routing
The data agent identifies which databases or systems contain the required data and routes sub-queries to each source simultaneously using the ADA layer.
Step 3
Direct Database Execution
Queries execute directly against your databases via the ADA Integration Layer bypassing API overhead for 2–15ms retrieval latency.
Step 4
Evidence Assembly
Retrieved data from multiple sources is assembled into a unified evidence set. Every data point is tagged with its source, query, and retrieval timestamp.
Step 5
Grounded Answer Generation
The final answer is generated strictly from the assembled evidence no LLM inference filling gaps. The response includes source attribution for every key figure.
FAQ
Is direct database access secure?
Yes. The ADA Integration Layer uses read-only, permissioned connections with row-level security where available. No credentials are stored in agent memory. All connections are encrypted in transit and at rest, and access logs are maintained for every query.
What databases and data warehouses are supported?
PostgreSQL, MySQL, MongoDB, Snowflake, BigQuery, Redshift, DynamoDB, and Elasticsearch are natively supported. Custom connectors can be configured for proprietary databases.
What if the question requires data from a system without direct DB access?
The agent falls back to the optimized API connector for that system with intelligent caching and request batching to minimize latency. You'll still receive an answer; the source metadata will indicate the retrieval method used.