B2B Growth Engine
Identifies untapped revenue opportunities and prescribes growth actions using predictive ML models.
- Identify Target Accounts
- Score Leads with AI
- Track Pipeline in Real-time
- Drive Revenue Growth
Built on Model Context Protocol (MCP), Action Query AI lets any team member ask a question in everyday language — "What's our outstanding collection this month?" — and get a precise, data-backed answer pulled live from across ERP modules.
Get instant, secure ERP insights through natural conversation.
Natural language querying across all ERP modules
Real-time, accurate data retrieval — no report-building
Role-based access so answers respect data permissions
Works via chat, voice, or embedded widget
Follow-up/conversational querying (ask a second question on the same answer)
A seamless bridge from physical paper to digital intelligence.
Type or speak a question in plain language.
Chanakya AI queries live ERP data via MCP.
Get a direct, actionable response instantly.
Handle routine data requests independently.
Turn days of waiting into seconds.
Enable faster, data-driven decisions at every level.
Model Context Protocol (MCP) is the standard that lets Chanakya AI securely connect to and query live ERP data sources in real time, rather than relying on stale exports or static reports.
No — every query respects existing role-based access permissions, so answers are automatically filtered by what that user is allowed to view.
It supports conversational follow-ups — you can ask a clarifying or related question on the same answer without restating context.
Identifies untapped revenue opportunities and prescribes growth actions using predictive ML models.
Converts tender documents into winning proposals automatically, with compliance checks and scoring.