Transforming Operations for a Leading Experiential Marketing Agency with Agentic AI

The inability to quickly access relevant client information and project details hampered the organization's efficiency in client and event management. The sales team was also losing potential deals.

Roadblocks Faced In The Existing Systems

•  Manual processes demanded significant time and resources. 

• Inability to quickly access the client history during critical sales calls.

•  Reduced speed. Delayed responsiveness.

•  The sales teams were losing potential deals.
•  Complex client relationship management. Slow revenue generation.  

Fingent’s Approach - Enterprise-grade AI-powered Operational Assistant

The enterprise-grade AI-powered operational assistant deployed a cloud-native microservices framework with API-first design patterns. This helped create a unified conversational interface layer that orchestrated data access across the agency's three core business systems: their CRM platform (containing client contact information and communication history), project management system (storing timelines, assignments, and status updates), and inventory management platform (tracking equipment, materials, and props across all locations).

The technical architecture utilizes a retrieval-augmented generation (RAG) approach that grounds AI responses in real-time enterprise data from connected systems. An intelligent query orchestration engine employs multi-step reasoning with chain-of-thought prompting. This helps decompose complex natural language queries into discrete API calls across heterogeneous data sources.

• The system maintained enterprise-grade security through AD SSO, role-based access control (RBAC), and end-to-end encryption for all data transactions.
• Advanced prompt engineering with few-shot learning examples enabled domain-specific query understanding.
• The solution helps achieve 96.4% semantic accuracy in cross-platform information synthesis and retrieval.

Making An Impact On Client Success

The AI-powered operational assistant delivered substantial improvements in day-to-day operations across all departments. The agency achieved a 70% reduction in routine information lookup workloads for sales and operations teams. It transformed tasks that previously required navigating 5-8 different screens into simple natural language queries. 

Project teams experienced a 40% reduction in time needed to generate client reports and project summaries, while operations saw a 75% reduction in time required to analyze project data and resource allocation across their 3,000 annual events. Sales productivity increased by 3-5% as representatives gained faster access to client history during critical sales calls, leading to more informed conversations and improved deal closure rates. 

85% of employees started fully utilizing the AI assistant within three months of the full rollout.
The system now handles 80% of routine information requests that were previously managed through manual system navigation.
The natural language interface eliminates the frustration of complex multi-system searches.
Users can now focus on higher-value client service activities rather than administrative tasks.

Benefits

• Improved operational efficiency  
• Reduced manual efforts.Faster processes
• Improved sales perfromance  
• Enhanced competitive advantage