Sold by: Bandhan Technologies Private Limited
Bandhan Enterprise Intelligence (BEI) is an AI-powered enterprise copilot that unifies fragmented organizational data and delivers actionable intelligence through natural conversation across Finance, HR, Sales, Engineering, and Operations. BEI connects structured and unstructured data sources, ERP, CRM, HRMS, SharePoint, databases, and documents , into a single governed RAG-powered intelligence layer with multi-LLM flexibility. Deployed in under 60 days, BEI reduces reporting cycles by 65%, accelerates onboarding by 40%, and delivers over 50% cost savings versus per-function AI tools like Microsoft Copilot.
Overview
Bandhan Enterprise Intelligence (BEI) is an AI-powered enterprise copilot built on AWS that transforms how organizations access, interpret, and act on their data. BEI ingests structured and unstructured enterprise data - ERP exports, financial databases, HR policies, engineering documentation, CRM records, SharePoint content, PDFs, Word docs, and PowerPoint files - into a unified, governed intelligence layer. Employees and leaders interact through natural language conversation, receiving source-cited answers in seconds rather than waiting days for manually compiled reports.
BEI's architecture rests on five AI capabilities: semantic retrieval (intent-based, not keyword-based), grounding (every answer traces back to a source document), multi-LLM flexibility (select the right model per task paid or open-source), continuous optimization, and agentic workflows powered by LangGraph that automate complex multi-step processes entirely on the backend. Security and governance are embedded by design: IAM-based access controls, SSO, role-based permissions, full audit trails, PII protection at the pipeline layer, and a zero-trust posture ensure enterprise-grade compliance across every function.
BEI is delivered as a professional services engagement across four phases: Discovery & Readiness (Weeks 1–2), Foundation Build (Weeks 3–6), Pilot - First Value (Weeks 7–9), and Enterprise Scale (Months 10–12). The first use case goes live in under 60 days. Each subsequent use case deploys 40–60% faster using reusable frameworks. Industry applications include Manufacturing, BFSI, Healthcare, Retail, and BPO. BEI leverages Amazon Bedrock, Amazon OpenSearch, AWS IAM, Amazon S3, and AWS Lambda as part of its cloud-native architecture on AWS. Key outcomes: 65% reduction in financial reporting cycles, 60% HR query self-service deflection, 40% faster engineering onboarding, 30% less duplicate development effort, and over 50% savings vs. Microsoft Copilot at equivalent user scale."
Highlights
- Deploy enterprise AI intelligence in under 60 days. BEI unifies ERP, CRM, HRMS, SharePoint, and document data into a single RAG-powered knowledge layer. Finance teams cut reporting cycles by 65%, HR teams deflect 60% of routine queries via self-service, and engineering onboarding is accelerated by 40% , all through natural language with full source citations on every answer.
- Cut AI tool costs by over 50% with one unified enterprise copilot. BEI replaces fragmented per-function AI tools (e.g., Microsoft Copilot at $25/user/month) with a single platform covering 6+ business functions. An enterprise with 5,000 users saves over $750,000 per year while gaining broader intelligence across Finance, HR, Sales, Engineering, and Operations.
- Enterprise-grade governance and multi-LLM flexibility built in. BEI features IAM/SSO access controls, full audit trails, zero-trust security, and PII protection at the data pipeline layer. Support for multiple LLMs , paid and open-source , enables function-level customization. Agentic workflows (LangGraph) automate complex multi-step tasks on the backend; users see only the result.
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