Overview
A leading global FinTech company with over 200 support team members engaged Bloom AI to improve the efficiency and responsiveness of its B2B customer support operations. The firm wanted to move beyond traditional first-in, first-out (FIFO) ticket handling and instead implement AI-powered decision intelligence to prioritize support tickets based on client tier, issue severity, and business impact.
The objective: improve customer experience, agent efficiency, and decision consistency while reducing reliance on dashboards and manual triaging.
Challenge
The client’s internal analytics team had developed a machine learning model for intelligent ticket prioritization, accessible via a support dashboard. However, the initiative faced two significant bottlenecks:
- Low Adoption of Dashboards by Support Agents
Agents struggled to keep track of the constantly evolving ticket priorities via dashboards, which required active monitoring and context switching. - Lack of Visibility for Analytics and Service Leaders
The analytics team had no reliable way to assess whether agents were following the ML-based prioritization logic or reverting to manual patterns—limiting continuous improvement and performance tracking.
Without a mechanism to embed AI recommendations directly into workflows, the dashboard-based solution failed to translate into operational results.
Solution
Bloom AI deployed a customized decision intelligence solution using its SynthBI platform, designed to integrate directly into the client’s support operations and analytics layer.
✅ Real-Time ML Integration
SynthBI was integrated via API with the client’s machine learning prioritization model, which ran bi-hourly to identify the most critical tickets across key variables like severity, customer tier, and SLA risk.
✅ Personalized AI-Powered Alerts
Instead of relying on dashboard views, the system delivered automated, role-specific email alerts to each agent. These alerts prioritized the top tickets they needed to address—ranked and contextualized—reducing decision fatigue.
✅ Embedded Feedback Loop
SynthBI tracked ticket resolution behavior between model runs and fed back resolution data to the analytics and service delivery teams. This enabled them to measure agent adherence, identify bottlenecks, and continuously refine the model.
Results: Smarter Customer Support, Real-Time Actionability
The AI-powered decision intelligence system created tangible outcomes for the FinTech firm:
- Reduced Cognitive Load on Agents
Agents no longer needed to navigate complex dashboards or make manual decisions on ticket order. Top priorities arrived in their inbox, enabling faster, more focused responses. - Operationalized AI at Scale
The ML prioritization logic was embedded directly into workflows, ensuring the model’s intelligence was applied consistently across all support teams. - Improved Service Quality and NPS
Faster resolution of high-impact issues and better alignment with SLAs led to measurable improvements in customer satisfaction and Net Promoter Score (NPS). - Data-Driven Continuous Improvement
With a full feedback loop in place, service leaders could see how AI recommendations were being followed and where exceptions occurred—driving evidence-based service optimization. - Scalable Framework for Agent Decision Support
Following the success of this use case, the client’s analytics team has begun expanding the AI decision intelligence model into other domains, including onboarding, renewals, and account management.
Conclusion: AI-Powered Decision Intelligence in Action
This engagement demonstrates how AI-driven decision intelligence platforms like SynthBI can transform customer support by embedding machine learning insights directly into frontline workflows.
Rather than building more dashboards, Bloom AI focused on enabling real-time, personalized, and actionable intelligence—resulting in faster ticket resolution, greater agent efficiency, and improved customer outcomes.
About Bloom AI
Bloom AI builds AI-native platforms that convert analytics and machine learning outputs into operational decision intelligence. Through solutions like SynthBI, we help firms embed AI into everyday workflows—driving better decisions across customer support, sales, marketing, and product operations.
