Your ERP, working autonomously, 24/7, without manual input.
Most ERP systems are powerful but passive, they store data and wait for people to act on it. Nextgenlytics changes that with a RAG-based multi-agent platform, built on BlueGecko, that runs real business processes end to end across SAP S/4HANA, Dynamics 365, Salesforce, and cloud platforms.
From automating data migration, field mapping, and quality validation to closing the books and forecasting demand, our self-learning agents, refined over 2+ years, deliver up to 10X faster migration cycles and 4X faster ERP adoption. This is a production platform, not a prototype.
Real capability
BlueGecko core IP: 10X faster migration cycles, 4X faster ERP adoption. Self-learning agents built over 2+ years. Not a prototype, a production platform.
AI agents handle month-end tasks like bank reconciliations, intercompany settlements, and ledger entries automatically, reducing errors and freeing your finance team from repetitive manual work.
Agents autonomously manage supplier inquiries, track shipment statuses, and update procurement records in real time, no chasing emails, no manual data entry.
The system reviews payment history and risk scores to automatically prioritise and follow up on overdue accounts, improving cash flow without adding headcount.
AI agents monitor stock levels and market trends to generate purchase orders and suggest inventory relocations before shortages occur, reactive becomes proactive.
Purpose-built for Dynamics 365, delivered with governance, accelerators, and human oversight from day one.
Pre-built D365 accelerators, human-in-the-loop safeguards, and full auditability, engineered for regulated enterprises.
Our agents plug directly into your existing Dynamics 365 environment, no complex infrastructure changes, no lengthy IT projects.
Agents operate autonomously but flag anomalies for human approval when needed, so your team stays in control of every critical decision.
Using our AI Agent Deployment Accelerator with pre-mapped D365 module configurations, we go from evaluation to a live AI environment faster than any generic implementation approach.
