Ask your business data in plain language.
Snoh Ava turns natural-language questions into governed data queries, visual answers and decision-ready insights—without making every team wait for a SQL expert.
Which operating changes need attention this week?
One controlled path from question to governed answer.
Snoh Ava is a conversational business intelligence layer for governed business data. Connect supported sources, configure specialized AI agents and help teams move from question to answer through one experience.
Business questions wait for translation into technical queries.
Information lives across systems and databases.
One generic bot cannot cover every data and knowledge context.
Answers must respect roles and governed sources.
Teams repeatedly prepare and distribute the same analysis.
A focused architecture built around the work.
A purposeful capability set designed around the core role of Snoh Ava.
Conversational business intelligence
Ask business questions naturally and receive understandable answers.
Questions · follow-ups · visual answersMulti-source data connectivity
Bring questions to supported databases and approved business sources.
Governed connected contextConfigurable AI agents
Configure agents around structured data and approved knowledge requirements.
Database · RAG · supported MCPMulti-agent orchestration
Coordinate specialized agents through a master orchestration layer.
Connected agent architectureGovernance and secure access
Control source access with roles, authentication and governed boundaries.
RBAC · 2FA · role-aware answersDashboards and shared insights
Turn conversational analysis into reusable team-level views.
Dashboards · internal sharingAutomated reporting
Generate recurring reports and send them to specified recipients.
Scheduled report deliveryFrom the first input to a controlled outcome.
A clear operating sequence makes implementation and ownership easier to understand.
Connect
Configure supported databases and approved sources.
Specialize
Create agents for structured data, RAG or supported connectors.
Orchestrate
Coordinate multiple agents when a question spans contexts.
Ask
Use natural language to retrieve governed answers.
Share
Reuse insights through dashboards and automated reports.
Agentic intelligence architecture
Select a layer to explore how the product architecture supports the operating model.
Specialized agents coordinated through one governed experience.
Ava combines conversational access with an orchestration layer so different data and knowledge contexts can work together without becoming isolated bots.
Designed around real operating scenarios.
Start with a focused scenario and expand as the operating model proves itself.
Finance analysis
Investigate variance, cost drivers and performance.
Sales intelligence
Explore conversion, territory and pipeline patterns.
Operations visibility
Understand bottlenecks, capacity and service performance.
Leadership views
Receive concise cross-functional performance context.
Recurring reporting
Generate and distribute approved management reports.
Snoh Ava versus the traditional approach.
Compare the operating model—not generic feature claims.
Getting an answer
Request a report and wait for analyst capacity
Ask a governed question in everyday language
Conversational access with enterprise guardrails.
Ava makes business data easier to use while keeping role-aware access, authentication and governed analytical boundaries part of the architecture.
Connect only what the operating model requires.
Supported relational databases, approved business datasets, configured RAG sources and supported MCP connectors. Exact connector availability is confirmed during implementation.
Operational improvements teams can evaluate.
Focus the implementation on observable gains in process, control and visibility.
Faster answers
Reduce dependence on manual query preparation.
Common context
Give teams controlled access to approved data.
Reusable agents
Configure repeatable analytical patterns.
Automated reporting
Turn recurring insights into scheduled delivery.
A product-specific reason to choose the platform.
Give business users a natural path to governed analysis.
Bring supported sources into one controlled experience.
Coordinate specialized agents instead of isolated assistants.
Apply permissions and authentication from the start.
Questions buyers ask before implementation.
Clear answers about product fit, capability boundaries and deployment.
What is Snoh Ava?
Snoh Ava is a conversational BI and data-intelligence platform for asking questions of governed business data in natural language.
Can multiple data sources be connected?
Yes. Snoh Ava supports simultaneous connectivity to configured databases and approved business sources.
What are Ava agents?
They are configurable agents that can work with structured data, approved RAG sources and supported MCP connectors.
What is the master agent?
It is an orchestration layer that coordinates multiple configured agents when a request spans different contexts.
Can reports be generated automatically?
Yes. Reports can be generated on configured schedules and sent to specified recipients.
How does Ava protect sensitive data?
Role-based access, two-factor authentication and governed source boundaries keep answers aligned with approved access.
Connect the right product for the next stage.
Build a wider operating system while keeping each product role clear.
Bring a real business question and see how Ava answers it.
Bring the process, data or operating scenario you want to improve. The SnohAI team will help define a focused implementation boundary.