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Driving Agility in 2025: How AI-Driven Integration Redefined Product Management Efficiency

Client Introduction

Our customer is one of the largest banking institutions in the United States, primarily focused on wealth management, asset servicing, and banking services. Founded in late 1800, it has built a reputation for its expertise in managing complex financial portfolios and providing personalised services. It operates globally, with offices in major financial centres around the world.

Problem Statement

Our customer one of the divisions has close to 20+ applications associated with each product manager, and they have 20+ such product managers spread across the division. In modern product development environments, managing complex workflows and ensuring efficient task delegation is often fragmented across multiple tools and platforms when they take up any new product enhancement or new product initiatives. Product managers struggle with the manual effort involved in creating epics, defining story points, managing code branches, and assigning tasks to the right product owners or teams. This lack of integration and automation results in inefficiencies, delays, and inconsistencies across the product development lifecycle.

Key Challenges

Data Fragmentation: Product-related data (epics, user stories, code branches, etc.) is spread across various platforms (JIRA, GitHub, Slack, etc.), creating silos that hinder collaboration and visibility with different product teams.

Manual Workflow: Product managers and teams often perform repetitive manual tasks like creating and updating epics, story points, and branches, leading to errors and inefficiencies.

Task Assignment: Identifying the right product owner or team member to handle specific tasks can be difficult, especially when working in cross-functional teams or with a distributed workforce.

Lack of Automation: Without an intelligent, integrated system, product management processes are slow, error-prone, and lack real-time synchronization between development and project management tools.

Solution

InOpTra’s Gen AI team did a deep dive and suggested there was a need for a unified solution that can automatically integrate with multiple data sources (e.g., project management tools, version control systems, communication platforms), and streamline the process of creating and managing product work items like epics, stories, and branches. Additionally, the solution should automatically assign tasks to appropriate product owners, helping reduce overhead, maintain consistency, and ensure that teams focus on delivering value rather than getting bogged down in administrative tasks.

Core Features

  • Centralized Data Repository: Store all product-related information (epics, user stories, code branches, etc.) in a single, accessible location.
  • Automated Workflows: Utilize AI-powered automation to streamline tasks like creating epics, assigning tasks, and managing code branches.
  • Intelligent Task Assignment: Leverage machine learning to recommend the most suitable team members for specific tasks based on their skills, availability, and past performance.
  • Real-time Collaboration: Facilitate seamless communication and collaboration between product managers, developers, and other stakeholders.
  • Advanced Analytics: Provide insightful analytics to track progress, identify bottlenecks, and optimize workflows.

Technologies used to implement solution

  • AI/ML Models: Hugging Face Transformers, OpenAI GPT, spaCy
  • Project Management APIs: Jira API, Trello API,
  • Version Control: GitHub API, GitLab API, Bitbucket API
  • Backend Development: Python, Node.js, GraphQL
  • Database: PostgreSQL, MongoDB, AWS DynamoDB
  • Cloud: AWS, Google Cloud, Azure
  • UI/Frontend: React.js, Vue.js, Material UI
  • Notification: Slack API, Twilio API, SendGrid
  • Security: OAuth 2.0, JWT, Okta, Auth0
  • Monitoring: Prometheus, Grafana, ELK Stack

Results: After solution provides below benefits

  1. Improved efficiency by up to 45%
  2. 30-40% reduction in administrative overheads
  3. Enhanced the agility & quality of product delivery by 30%
  4. Cost savings by 40%
  5. Happy Quotient within different teams

InOpTra’s Generative AI-powered solutions can greatly enhance the efficiency of product management tasks, including epic and user story creation, backlog management, and prioritization, while automating the assignment of tasks to the appropriate product owners. Our intelligent Product Management tool, driven by Generative AI, has the potential to replace any current product on the market. With such a solution in place, product managers can shift their focus to more strategic decisions and key deliverables, leading to improved efficiency, better communication, and higher product quality.

Author: admin-second

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