endorsedCompleted

Domain-Specific AI Agents for FinTech Company

Services Covered:

AI and Machine Learning

Industry

Financial Services

Duration

7 months

Budget

10K - 49K

Start Date

1 November 2024

Team Size

1-5 Employees

Engagement Model

Offshore

Project Capability Score (PCS)

85/100

Strong

Project Capability Score (PCS) estimates how capable NetSet Software Solutions is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS

Client

Mamo

Dubai, United Arab Emirates

Project Summary

NetSet Software Solutions developed domain-specific AI agents for a fintech client, building a modular, scalable system using open-source LLMs, Python, LangChain, and OpenAI APIs with a prompt memory system. The deployed agents resolved over 30% of routine queries, reduced time-to-resolution by 40%, and improved internal team satisfaction. NetSet coordinated via Notion and Slack and used weekly sprint reviews to manage progress.

Key Challenges

Build domain-specific AI agents capable of executing predefined tasks independently
Scope, design, and implement a modular framework using open-source LLMs and reinforcement learning components

Project Deliverables

Scalable AI agent architecture
Trained domain-specific AI agents
Integration with internal APIs
Prompt memory system to retain context across sessions
Use of open-source LLMs with OpenAI API fallbacks

Project Solution

NetSet assigned a small team (2-5 employees) and created a scalable architecture combining Python, LangChain, and OpenAI APIs with fallback open-source models. They trained agents to interpret tasks, query the client's internal APIs, learn from outcome feedback, and implemented a prompt memory system to retain context across sessions. Coordination and milestone tracking were performed via Notion and Slack.

Project Outcome

Deployed agents resolve over 30% of routine queries without human intervention
Time-to-resolution dropped by 40%
Internal satisfaction with the tools improved noticeably
Responsive project management using Notion and Slack with weekly sprint reviews

Platforms

AI/ML Platform

Tech Stack

Python

Client Endorsement

Overall Review Rating

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“NetSet Software Solutions delivered the agents, which resolved over 30% of routine queries, dropped time-to-resolution by 40%, and improved the satisfaction of the client's internal team. The service provider responded promptly, flagged technical blockers immediately, and communicated via Slack.”
Imad G
CEO
Date: 06/17/2025