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Deploying your first bot is a significant milestone. Seeing your first automation bot successfully executing an AMS task and saving tons of valuable time and resources is often just the start of your automation journey.
According to Deloitte, only 3% of organizations have scaled RPA to the next level. However, automation’s true potentiale true potential of automation lies in continuous improvement and controlled scaling.
But how?
We’ll guide you through the next steps, from evaluating and refining your initial bot to building a robust automation framework that drives significant business impact for your insurance agency.
Evaluate Your RPA Maturity
The first step after your first bot is to evaluate and analyze the impact of the bot. Usually, the first automation bot for most insurance agencies would be the document retrieval bot or the direct bill reconciliation bot. You can assess these bots by measuring key performance indicators like TAT, accuracy and accuracy. This data-driven approach gives you a complete understanding of your RPA implementation and helps you identify goals and gaps in your automation journey.
Use any maturity models to evaluate your RPA positioning and gather feedback from your agents and stakeholders directly involved with the automated process. Understanding where you currently stand and where you aim to be will help you plan your scaling strategy better and prioritize next steps. Always set realistic and impactful goals.
Ace Your Automation Discovery
Choosing your first automation task is sometimes tough.
Discovering the next automatable task, however, should be much easier with the info from your assessment. Conduct an analysis of business processes to identify repetitive and time-consuming tasks. Prioritize your process identification based on factors like potential cost savings, impact on productivity, complexity and strategic alignment with your automation roadmap. Work with stakeholders from different departments to identify shared automation opportunities.
Create a clear RPA governance framework
As your automation program grows, it’s essential to establish a framework to manage and scale your efforts. A centralized platform like an orchestrator empowers your organizations to monitor all your bots at once.
The orchestrator serves as a single source of truth, providing a comprehensive overview of all your active bots, their performance metrics, and any potential issues. You can easily accommodate growing automation needs by adding and managing new bots within the orchestrator environment.
Depending on your needs, RPA orchestrators can be either hosted locally or in the cloud.
Establish an RPA Center of Excellence (CoE)
An RPA Center of Excellence (CoE) is a centralized group that governs RPA initiatives in your organization. This team includes people from your IT team, RPA champions, functional experts and stakeholders from different departments.
When you automate your first process with the help of an RPA partner, there might not be a need for an RPA Center of Excellence (CoE). In fact, your first RPA project always begins as a POC or pilot for your stakeholders. Though when you try to move forward with more automation, establishing CoE is crucial.
When your CoE takes shape, it shoulders responsibilities like:
- Company-wide RPA strategy development
- Stakeholder alignment and RPA goal integration
- Implement RPA standards and best practice
- Centralized RPA governance
- Monitor RPA change management
- RPA skills training for employees
Build End-to-End Automated AMS Workflows
Scaling Robotic Process Automation (RPA) goes beyond simply deploying more bots. Agencies need to recognize that bots can be orchestrated to handle comprehensive Agency Management System (AMS) workflows end-to-end, rather than limiting their use to automating isolated tasks.
For example, an agency might begin by automating the document retrieval process. In this scenario, a bot retrieves documents from carriers and organizes them into designated folders within the AMS, such as cancellations and renewals.
As a next step, the agency could implement additional bots to automate policy renewal and Notice of Cancellation (NOC) processes. These bots would work collaboratively, processing the cancellation and renewal documents placed in the AMS by the document retrieval bot. They could manage tasks like notifying clients about cancellations or renewals and updating the progress within the AMS. This coordinated approach to automation enables agencies to streamline operations and improve efficiency on a larger scale.
With these three bots in place, agencies can effectively eliminate concerns about high volumes of manual tasks, missed deadlines, and policy lapses. The automation ensures consistent, timely processing, enabling agencies to maintain efficiency and accuracy even during peak workloads.
Choose vBots
Eleviant vBots team has partnered with more than 50 insurance agencies and automated over 100+ workflows in the last two years. From strategy to deployment, we can help you expand your automation horizons.
