How We Streamlined Premier Financial Alliance's Employee Operations

The Challenge

Outdated technology and processes can slow down daily operations for revenue-driving and for administrative employees.

This is especially true in the insurance space, where complex logic and data relationships feed vital metrics like sales numbers, retention, and even commission payouts. Premier Financial Alliance (PFA) relied on manual processes that lacked key business logic. They also struggled with the inflexibility of their reports and counterintuitive UI. They lacked confidence in key data affecting personal incentives, and couldn't standardize administrative tasks that are essential for onboarding new hires. They also wasted time whenever they had to create custom reports, which were needed to observe how the agents fared in terms of business generation and competed against one another, as well as to track revenue generation per agent. Hadn't they found a solution to their issue, they would've run a number of risks:

• Resource wastage caused by operational inefficiencies
• Employee demotivation and disputes due to inaccurate or unfair incentive distribution
• Employee dissatisfaction and higher turnover because of cumbersome processes, counterintuitive UI, increased workload, and stress
• Poor decision-making due to inconsistent and unorganized data
• Impeded ability to track performance metrics and generate actionable insights because of inflexible reporting
• Difficulties growing caused by poor data management and non-standardized administrative tasks

PFA started looking for ways to empower and increase the efficiency of their insurance agents and administrative employees. The new solution they were looking for would make their task management much smoother all while maintaining the integrity of the detailed data relationships powering incentives, rewards, and commissions. And that's exactly what we at Amalgam helped them achieve.

The Solution

Our Approach:

The first step in our approach was an application assessment to evaluate the structure and determine the current level of maturity of PFA's web application architecture. This helped us design an improvement plan.

To preserve the relationships between PFA's data, we used Java to design the necessary data access objects, and incorporated fields for personal agents' reports. We then created new processes and incremental business logic to optimize the agent onboarding and team communication. We transferred legacy data from mySQL to PostgreSQL, scrubbed it, and added new fields that would facilitate the management of PFA's insurance agents. Finally, working together with our client's management, we engineered a new interface that would facilitate personal reporting for all agents thanks to its modern features and intuitive design.

Our Step-by-Step Process:

• An initial application architecture and code assessment
• The creation of new reporting logic and key data fields
• The creation of a new administrative logic
• Data migration and clean-up
• The revamp of PFA's UX/UI interfaces

The Results

• We enhanced our client's technical capabilities. Now, it's much easier for their administrators to create and update agent hierarchy profiles: their legacy platform relied on a manual process for creating and maintaining complex relationships dictating commission payouts. We designed an automated process that creates these relationships and an interface that provides the admins the ability to edit data relationships all while maintaining their integrity.
• We made it easy for PFA's admins to edit their agents' profile data. Their legacy administrative platform didn't allow administrators to easily view and edit critical aspects of agent data. We created business logic wrapped in a contemporary UX/UI to solve this issue.
• We enabled administrators to push and encrypt essential team communications. Our client's legacy email server lacked key security and backup protocols that translated into key communications being lost. That's why we migrated the client to a contemporary email server.
• We empowered PFA's agents to create dynamic personal reports. Our client's admins were unable to create custom personal reports to review the performance of individual agents. We created new reporting logic wrapped in a contemporary UX/UI to overcome this issue.

Conclusions

Summary of Benefits

We successfully revamped our client's data structures, created a new reporting logic, and refined their UI, thus optimizing PFA's incentives engine and empowering their leaders to manage their agents seamlessly and effectively.

Contact Information

Are you ready to leverage cutting-edge technology for your organization's needs? Contact us at hello@amalgam-inc.com.