Intelligent Data Access via Agentic AI

Intelligent Data Access via Agentic AI

Download PDF

A fast-growing SaaS company serving CRM andEdTech industries empowers sales teams andacademic operations with tools to managecustomer relationships, student engagement,and performance analytics. Trusted byenterprises across HiTech sectors, thecompany’s value lies in its ability to deliveractionable insights, especially when clients canaccess them quickly and easily.

Challenges

Clients, spanning sales organizations and academic institutions, were struggling to accesscritical insights buried across multiple platforms such as Salesforce and Brightspace. With nobuilt-in mechanisms in these platforms for consolidated dashboards or natural languagequerying, teams relied on:

  • Logging into multiple systems separately
  • Manual report generation
  • Developer support to write queries or pull data 


This fragmented process slowed decision-making, created operational inefficiencies, andmade it difficult to maintain a clear, real-time view of sales pipelines or student engagementmetrics.

Solution

Invimatic partnered with the SaaS provider to design and deliver AI Analytics, a chatbased Agentic AI solution that consolidates data access into one seamless interface.The platform connects directly with Salesforce, Brightspace, and other third-partysystems to deliver natural language responses and customized visual dashboards,features not natively available in those tools.

Our approach included

  • Integrating LLM agents with Salesforce and Brightspace for real-time data access
  • Developing a Next.js-based dashboard with intuitive chat and dynamic visualizationstailored to client needs
  • Building a custom MCP Server to enable seamless communication between the LLM andenterprise data systems
  • Implementing Langsmith for prompt tracing, optimization, and reproducibility
  • Applying token optimization techniques to reduce latency and cost 


The result was a single, intelligent interface that eliminated platform-hopping, streamlinedreporting, and allowed clients to get answers in plain English, without relying on developersupport.

Results

  • Reduced Report Access Time: From 10–20 minutes to ~10 seconds
  • Lowered Developer Dependency: From high to near-zero
  • Faster Insights & Fewer Support Requests: 87% faster insights and 60% fewer  developer support requests
  • Increased Platform Adoption: Among GTM and Academic Ops users
  • Enabled Real-Time Decision-Making: For sales and student engagement across  client organizations

Technology Stack

Key Takeaway

Agentic AI removes operational bottlenecks by providing instant, self-serve insightsfrom multiple systems, eliminating the delays and dependencies that slow teams down.With natural language queries, enterprise data becomes easily accessible to bothtechnical and non-technical users, fostering a more inclusive and agile decision-makingenvironment. By leveraging intelligent, autonomous agents, fragmented dataecosystems are transformed into cohesive, action-ready environments where insightsflow seamlessly and decisions happen in real time.