AI Agent Development for Spend Control in FinTech

Liam

Liam Murray

Unlock Efficiency With AI

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Document extraction Quickly extract data from order forms, contracts, and documents.
Integrated With Your Stack Integrates effortlessly with ERP, productivity tools, legal platforms, Slack, and Teams.
Role: Full Stack Developer
Project Description:
Country: UK Domain: FinTech
I was part of a team that developed an AI Agent for spend control in the FinTech domain. This innovative AI Agent simplifies procurement processes by providing users with a seamless chat interface where they can ask finance-related questions. For instance, users can ask a question like “How much did we spend on travel in Q3?” and get instant, accurate responses, thereby accelerating decision-making processes.
Responsibilities: • I developed and deployed the AI module leveraging OpenAI and Python. • I integrated custom API & REST APIs to ensure smooth system interaction and data flow.
This project represents a cutting-edge solution for rapid, data-driven decision-making in the financial sector.
Skills and Deliverables:
• Expertise in Artificial Intelligence and Automation. • Proficient in Python programming. • Experience in AI Bot and AI Agent Development. • Developed and deployed AI agent. • Successfully integrated custom and REST APIs.
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Posted Sep 10, 2025

As a Full Stack Developer, I developed an AI Spend Control Agent in Python, integrated APIs, and streamlined financial decision-making.

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Timeline

Jun 18, 2021 - Oct 22, 2024