Embed AI into what you already have.
We design, build, and deploy AI/ML models directly into your existing ERP, CRM, and data workflows — without ripping anything out.
Use cases
Six AI capabilities ready to plug in.
Demand Forecasting
LSTM and Prophet models trained on your ERP data, deployed as microservices feeding directly into procurement workflows.
Conversational Interfaces
Natural language query layers over SQL, Spark, or REST APIs — embed a ChatGPT-style interface inside any internal tool.
LLM-Powered Automation
Document classification, NLP report generation, invoice extraction, and contract analysis — all running on your private data.
Anomaly Detection
Real-time unsupervised models monitoring transactions, logistics, and operational KPIs — alerting via Slack, Teams, or webhook.
Recommendation Engines
Collaborative filtering and content-based models surfacing upsell opportunities, cost savings, and workflow improvements.
Predictive Maintenance
IoT sensor data + ML models predicting equipment failure before it happens — reducing unplanned downtime by up to 60%.
We build AI Agents that work for your specific use case.
Unlike a chatbot that only answers questions, an AI Agent takes action. It plans, uses tools, calls APIs, and executes multi-step workflows autonomously — built around your exact business process, not a generic template.
Daxor designs and deploys production-grade AI Agents on Azure AI Foundry, LangChain, and Copilot Studio — integrated with your ERP, CRM, and data warehouse from day one.
Procurement Agent
Autonomously raises purchase orders, checks vendor SLAs, flags anomalies, and escalates for approval — all without manual intervention. Runs end-to-end across your ERP.
Finance & CFO Agent
Monitors cash flow, generates variance commentary, flags GST discrepancies, and prepares draft MIS reports by pulling data from your ledger and Fabric warehouse.
IT Helpdesk Agent
Triages support tickets, resolves common issues autonomously (password resets, access requests), escalates with context, and logs everything — reducing L1 ticket volume by 60%+.
Supply Chain Agent
Tracks inventory levels across locations, triggers replenishment workflows, reroutes shipments on delay detection, and sends real-time alerts to ops teams via Teams or WhatsApp.
Invoice & Compliance Agent
Reads invoices from email or Drive, validates GST/TDS fields, cross-checks against POs, posts to the ERP, and flags exceptions — processing hundreds of documents per hour.
Sales & CRM Agent
Qualifies inbound leads, drafts personalised follow-up emails, updates CRM records, surfaces deal risks, and nudges reps with next-best-action recommendations.
How agents work
Four capabilities that make agents genuinely useful.
Multi-step reasoning
Agents plan, break tasks into steps, and self-correct when a step fails — without you writing a single if-else rule.
Tool & API use
Agents call your ERP APIs, run SQL queries, read documents, send messages, and interact with external services as tools.
Memory & context
Short-term conversation memory and long-term knowledge retrieval (RAG) — agents remember what matters and forget what doesn't.
Human-in-the-loop
For high-stakes actions, agents pause and ask for approval — with full context — before proceeding. You control the guardrails.
Built with
Have a workflow in mind?
We scope and prototype your custom AI Agent in 2 weeks.
Technology
Best-in-class open stack, no lock-in.
How we work
Prototype in 2 weeks, production in 6.
Use-case scoping
We shortlist 2–3 AI use cases with the highest ROI potential for your business.
Data readiness audit
We assess your data quality, labelling needs, and infrastructure gaps.
Prototype in 2 weeks
Working model serving predictions — not slides — within the first fortnight.
Production deployment
CI/CD pipeline, monitoring, drift detection, and retraining triggers included.
Knowledge transfer
Your team owns and operates the models after handover — no vendor lock-in.
Private by default
Your data never leaves your cloud tenant. All models run inside your VPC / subscription.
Auto-retraining
Models retrain on schedule or when drift is detected — no manual intervention needed.
Explainable AI
Every prediction comes with a confidence score and feature attribution. Auditable from day one.
Start with one use case. Scale from there.
A focused 2-week use-case workshop identifies where AI delivers the most value in your business — at no risk.