The challenge: pending requirements slow down your underwriting pipeline #
When someone applies for life insurance, your underwriters rarely have everything they need to make a decision on day one. Many applications require additional documentation before you can evaluate them. These "pending requirements" might include:
- Medical exam results or attending physician statements
- Financial documents like tax returns or bank statements
- Additional questionnaires about health history or lifestyle
- Identity verification documents
- Beneficiary information updates
The problem? Gathering these requirements takes time. Someone on your team has to identify what's missing, create a task, assign it to the right advisor, follow up when deadlines slip and track everything across multiple systems. It's tedious, error-prone and it adds days or weeks to your application-to-issue timeline.
The solution: agentic AI that manages requirements for you
This agentic AI workflow automates the entire pending requirements process. Instead of your staff manually tracking what's needed and chasing advisors for missing documents, AI handles it end-to-end. The system identifies requirements, creates prioritized tasks and assigns them directly to the appropriate advisor with clear instructions on what they need to collect from the applicant.
How it works: a six-step AI workflow
Step 1: Requirements analysis #
The AI connects to your policy administration system through a requirements API and pulls the pending requirements for each application. It then analyzes each requirement type (medical, financial, identity and so on) against your business rules and identifies exactly what's missing. It also gathers context like policy details, client information and deadline urgency.
What does this mean for you? Instead of staff manually reviewing each application to figure out what's outstanding, the AI does this automatically and instantly. Requirements that took 15-20 minutes to identify and document now take seconds.
Step 2: Task generation #
The AI translates technical requirement codes into clear, human-readable tasks. A cryptic code like "APSC-007" becomes "Request Attending Physician Statement for cardiac history from Dr. Smith at Boston Medical Center." The system also looks at the client's history and suggests the best approach for each task.
What does this mean for you? Advisors get tasks they can actually understand and act on immediately. No more confusion about what's needed or wasted time deciphering system codes. This eliminates back-and-forth questions and gets requirements moving faster.
Step 3: Recommendations and guidance #
The AI doesn't just create tasks. It provides strategic guidance based on where each case stands. For a declined application, it might recommend alternative products to suggest to the client. For an approved case awaiting final documents, it prompts congratulatory outreach. It pre-populates relevant information so the advisor isn't starting from scratch.
What does this mean for you? Your advisors aren't just collecting documents. They're guided toward the right next action for each case. This turns routine requirement gathering into opportunities to strengthen client relationships and capture additional business.
Step 4: Setting priorities #
The AI evaluates multiple factors to rank every task: deadline proximity, policy value, client tenure and relationship importance. Urgent items that need immediate attention surface to the top of the advisor's queue automatically.
What does this mean for you? Your most important cases get worked first. No more high-value applications stalling because they got buried in an advisor's inbox. You protect revenue and reduce the risk of applications expiring due to missed deadlines.
Step 5: Assigning tasks #
Once priorities are set, the AI makes it easy for advisors to complete tasks. It generates pre-written emails requesting specific documents, provides direct phone numbers and contact details for the applicant and even suggests cross-selling opportunities where appropriate.
What does this mean for you? Advisors spend their time talking to clients instead of drafting emails and looking up contact information. What used to take 10 minutes per outreach now takes 2. Multiply that across thousands of pending requirements, and you're looking at massive efficiency gains.
Step 6: Task completion tracking #
The AI monitors which tasks get completed, learns from advisor behaviour patterns and continuously improves its recommendations. It knows which requirement types typically take longest, which advisors respond fastest to certain task types and where bottlenecks tend to form.
What does this mean for you? You get visibility into your pending requirements pipeline without building reports or nagging managers for updates. The system learns and adapts, getting smarter about task assignment and prioritization over time.
Business impact: why this matters for your operations #
Faster application processing #
Automating requirement identification and task creation cuts manual work by 75%. Cases move through your pipeline faster because nothing sits waiting for someone to notice it.
Lower cost per policy #
Less manual tracking means fewer staff hours per application. Your team focuses on high-value work like underwriting decisions, not administrative chasing.
Higher advisor productivity #
When advisors receive clear, prioritized tasks with everything they need to act, they complete requirements faster. Faster completion means faster issue and faster commission payment, which keeps your distribution channel happy.
Competitive advantage #
Insurers still relying on manual requirement tracking can't match your speed. In a market where applicants expect quick decisions, faster processing wins business.
Getting started #
This agentic AI workflow integrates with your existing policy administration system through standard APIs. It works alongside your current processes, enhancing them rather than replacing them.
Want to see how AI-powered task management could accelerate your new business processing?