An international holding active in financial services and payment acceptance gave its sales and marketing teams one AI workspace to prepare business proposals, handle objections and answer customer queries, grounded in the company’s own knowledge.
Ragsense built an AI-powered sales enablement platform on a multi-agent architecture that connects in real time to the company’s knowledge repositories: SharePoint document libraries, email archives and structured data in private SQL databases. All sources are consolidated and indexed, so every employee gets accurate, contextual answers through a single conversational interface.
Depending on the nature and complexity of each request, the platform dynamically orchestrates AI agents for rapid retrieval or deeper analytical research: detailed technical product specifications, structured sales arguments, website copy, or targeted searches across extensive certification and compliance databases.
Each agent is tailored to a specific sales task. Access to agents and datasets follows role-based permissions aligned with the organization’s internal access policies, with Microsoft 365 single sign-on.
Documents ingested
Sales questions answered daily
Specialized agents
Working languages
Automatic language detection identifies the language of each query and answers in kind. Users across international markets interact naturally in their preferred language, with consistent response quality.
A built-in conversation viewer and evaluation module lets administrators review anonymized interactions, monitor response accuracy and flag cases that need human validation or escalation.
Dedicated dashboards show the real-time status of every ingested source and supervise indexing and performance across the search and vector databases, OpenSearch and Qdrant. Troubleshooting is faster and the knowledge base stays reliable.
Background jobs crawl SharePoint and refresh product catalog data on a regular schedule. Administrators see each job’s status, next run and history, and can trigger a run at any time.
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