AI opportunity mapping for credit management
International credit management company
**Context**: An international credit management firm assists clients with contract compliance, invoicing, and payment oversight. The team was seeking improved operational efficiency and a greater capacity to manage customer requests within their current resources. EffectiveSoft was brought in to pinpoint significant AI use cases and create an implementation strategy.
**Our Approach**: We began by thoroughly mapping out the company's tasks and processes from start to finish. This included interviews with staff and a review of the tools used by the team to uncover opportunities for automation. We documented issues leading to rework, slow decision-making, and prolonged response times. From this analysis, we identified operations where AI-driven data analysis, predictive analytics, and intelligent decision-making could have the most substantial effect. For each potential integration, we defined the necessary AI technologies and solutions, evaluated their feasibility, resource requirements, and anticipated ROI. Ultimately, we prioritized projects, established the order of execution, and crafted a strategic roadmap outlining timelines, milestones, and resource needs.
**Result**: We provided a detailed AI implementation plan that clarified priorities, sequencing, and resource requirements. The first solution we implemented—a RAG-based LLM for handling customer inquiries—successfully addressed approximately 60% of incoming queries autonomously, cut average response times by 38%, and reduced the cost per request by 18%. Additional initiatives from the roadmap are currently in progress.
**Tech Stack**: Jupyter Notebook, Google Colab, Tableau, PowerBI, Hugging Face, Python, TensorFlow, AWS, Azure, GCP.