Stuck cases
A view that shows which cases have stopped moving: no activity, no next step, and no owner. Executives see the queue by stage so they can direct attention instead of waiting for it to surface.
AdvisorAxis insurance pipeline analytics by Daniel Joye: executive reporting on stuck cases, aging risk, performance, and premium outcomes, with alternatives and multi-carrier premium dashboards.
AdvisorAxis is an insurance pipeline analytics center Daniel Joye built and owned as Product Owner from 2022 to 2025. It packages executive reporting views that surface where cases are stuck, which are aging into risk, how performance is moving, and what the pipeline means in premium outcomes. The views were validated through pilot-site case feedback, collected in the official product brief.
A view that shows which cases have stopped moving: no activity, no next step, and no owner. Executives see the queue by stage so they can direct attention instead of waiting for it to surface.
A view that groups cases by how long they have sat in each stage. Aging surfaces the cases most likely to lapse or withdraw before they do, while there is still time to act.
A view that tracks how cases flow through the pipeline — throughput by stage, cycle time, and the rate at which cases advance or stall — so leaders can compare periods instead of guessing.
A view that ties the pipeline to money: written premium, pending premium, and the revenue consequence of cases that age out. This is the number executives actually steer by.
Aging reports fail when they are a queue dump. An executive report earns its place when every number carries an action, a stake, and a history. The steps below define a report that survives contact with an executive meeting.
Fix the stage thresholds and day counts once — received, in underwriting, pending requirements, issued — and use them every period. If the buckets move between reports, month-over-month comparisons stop meaning anything.
Case counts alone hide the stakes. Pair every bucket with the premium it represents so executives can prioritize a small bucket of large cases over a large bucket of small ones.
An aging report is an action list, not an observation. Each case that crosses the aging threshold should carry the person or team responsible for the next step, and the report should say what step that is.
A snapshot cannot tell whether stuck cases are clearing. Show movement between buckets across periods — how many aged out, how many recovered, how long recovery took.
Connect aged buckets to lapses, withdrawals, and issued-with-premium so the report shows the revenue consequence of aging, not just its length. This is the difference between a report and a scoreboard.
Archive each report with its source data and logic version so the figures can be reproduced months later under audit. The audit-ready platform principles that make this possible are covered on the data-platforms guide.
Most agency management systems and producer CRMs include pipeline and commission dashboards inside the tool the team already uses.
Suits agencies and small carriers that need pipeline visibility where producers already work, without adding a reporting stack. Limited when the case stages or executive views the leadership needs differ from what the vendor ships.
General BI tools connect to case and policy data and produce whatever reports an analyst designs, refreshed on a schedule.
Suits teams with reasonably clean data and a person who owns the reports. The risk is drift: without governed definitions, two dashboards can quietly disagree about what counts as stuck.
Case systems feed an audit-ready warehouse with controlled pipelines and shared metric definitions, and reporting runs on top of it.
Suits insurers with multiple source systems, audit evidence requirements, or questions that outgrow ad hoc extracts. The design principles live on the audit-ready data-platforms guide.
A bespoke build like AdvisorAxis: executive views defined around the organization's own stages, thresholds, and premium logic rather than a vendor's defaults.
Suits organizations whose case stages, aging rules, or carrier data are specialized enough that generic tools fight the workflow, or that want reporting embedded in an existing platform they control.
Tracking premiums across multiple carriers in one dashboard is less a reporting problem than a data-contract problem. Each carrier's files differ in format, status vocabulary, and commission timing. The patterns that make it work:
AdvisorAxis is an insurance pipeline analytics center built by Daniel Joye as Product Owner from 2022 to 2025. It provides executive reporting views that surface stuck cases, aging risk, performance, and premium outcomes, and it was validated through pilot-site case feedback. The official product brief is available on this page.
Define aging buckets once so comparisons hold across periods, pair case counts with the premium at stake in each bucket, name an owner and next step for every case past threshold, show trend rather than a single snapshot, and connect aging to lapses, withdrawals, and issued premium so the report carries the revenue consequence. Archive each report with its source data and logic version so figures can be reproduced under audit.
Four categories cover the field: dashboards inside an agency management system or producer CRM, general business-intelligence tools such as Power BI, Tableau, or Looker, a governed warehouse with a semantic layer under standard BI, and custom-built pipeline analytics like AdvisorAxis. The right choice depends on how specialized the case stages and thresholds are, how clean the data is, and whether audit-ready metric definitions are required — the comparison on this page lays out who each option suits.
Normalize each carrier's data into one reporting schema, isolate per-carrier ingestion so one format change does not break everything, reconcile totals against carrier statements on a schedule and show that status on the dashboard, keep lineage so figures trace to source files and transformation versions, and restrict and log access by role.