// Operational Control

See Where Cases Stall And Who Owns the Work

Cases move across teams and vendors, with SLA clocks ticking. See where cases stall, who owns the work, how workload is distributed, and which cases need attention, so your team can prioritize and follow up.

Built for health plans and the clinical operations teams running them.

Risk AI preview, by case state (Draft, Submitted, Pending, Review, Letters and Closed): open cases, predicted to breach and cases at risk.

// Control Tower

Find Friction Before It Finds You

The Control Tower surfaces where cases stall, which stages consume the most time, where rework concentrates, and which SLAs need attention.

Control Tower KPI mini cards and complete Operational Flow matrix including all actor and automation rows
Control Tower brings case volume, workflow time, rework and automation into one operational view, helping clinical operations leaders identify the stages that need attention.

See Whether the Backlog Is Growing

Compare incoming and completed cases, then open the days driving the change.

Inflow versus outflow chart with daily opened and closed case counts and totals
See whether incoming cases are outpacing closures. Daily workflow trends help teams recognize growing backlogs and investigate the periods driving operational pressure.

Find the Work That Isn’t Moving

See which open cases received no recorded touch and where follow-up may be needed.

Open versus worked chart with end-of-day open cases, cases touched that day and share touched legend
Compare open cases with daily activity to find work waiting for attention. Follow the gap into individual cases to focus clinical workflow follow-up.
// Loop Atlas & Time Study

Trace the Loops. Quantify the Rework.

See which interactions repeat, where cases return, and how much effort repeat work represents. Use time-study baselines and case history to focus operational improvements.

Find Where Cases Return

See which workflow stages cases return to, how frequently they return, and where return cycles consume time.

Loop Atlas return paths, affected case counts, return-cycle elapsed time and return-frequency distribution with definitions
See where cases return and repeated work concentrates. Loop Atlas connects return paths, frequency and elapsed time to help teams focus clinical workflow improvement efforts.

See Which Repeated Work Carries the Burden

Compare repeated interactions by frequency and estimated effort. Connect time-study estimates and interaction values to the work worth investigating.

Complete eight-row Repeats by interaction table showing cases, repetition frequency, repeat executions, estimated effort and modeled cost
Compare repeated clinical workflow activities by frequency, estimated effort and modeled cost. Time-study estimates help teams identify where a closer operational investigation could matter most.

Loop Rate & Repetitions

Identify which interactions repeat most often and how many times cases cycle through the same work before resolution.

Time Burden

Use observed effort or time-study estimates to understand repeated work and where operational time concentrates.

Modeled Financial Impact

Connect repeated activity to cost models in Workflow Economics to prioritize investigations by modeled financial impact.

Follow the Pattern Into the Case

Loop Atlas identifies the patterns. The shared case record brings the waiting, assignments and repeated steps into view, so your team can investigate what happened.

01 · Open the affected cases

Find the Cases Behind the Hotspot

Open the affected cases with their state, elapsed time and repeated work in view.

Pending Review case table preview with column headers and four complete rows showing elapsed time, touches, repeated work and current state
Turn an operational hotspot into a focused case review. Compare elapsed time, repeated work and case status to decide which histories deserve a closer look.
02 · Read the case clocks

Separate the Work from the Wait

See how much of the case cycle was recorded work and where elapsed time accumulated.

Closed case with final SLA status, cycle time, recorded work and wait clocks, state visits and actor legend
See where a case spent its time. Cycle time, recorded work and waiting reveal different aspects of the clinical workflow and its SLA performance.
03 · Inspect the recorded history

Trace the Handoffs. Understand the Returns.

Follow assignments, interactions and state changes to understand the sequence behind a delay or repeat.

Case history table showing three complete visits through Draft, Open Request and Pending
Follow the case through assignments, handoffs and repeated steps. A chronological history connects team activity with workflow movement, helping explain delays and returns.
// Workforce Pulse

See Every Case, Every Stage, Every Owner

See who owns the work, where ownership is missing, and how activity distributes across your team. Connect assignment coverage, daily workload and pickup patterns in one place.

See How Workload Distributes Across Your Team

See daily case activity by resource. Spot uneven distribution, peak days and changing workload patterns.

Workforce Pulse Workload showing daily resource-case-days, per-resource ranges and a resource-by-day heatmap
See how case activity varies across people and days. Workforce Pulse highlights workload patterns, busy periods and uneven distribution to support workload planning.
// Risk AI

Predict Risk Before It Becomes a Breach

An SLA clock shows how much time a case has used. Risk AI analyzes case history to predict which open cases are most likely to miss the deadline, giving your team an earlier signal and the evidence to act.

Go Beyond the SLA Clock

SLA Monitoring · Time Elapsed

Where do cases stand against their SLA?

See breaches already recorded and cases approaching their SLA limit.

Predictive Risk AI · Early Warning

Which cases are likely to breach next?

Find cases whose workflow patterns point to a future breach, while there is still time to intervene.

Risk AI sampling, pattern identification and prediction stages, six summary cards and the complete Risk by state matrix
Connect recorded SLA performance with predicted risk across the clinical workflow. See where cases stand today and where emerging patterns suggest the next breach may occur.

Sample the Case History

Bring completed outcomes and open cases into the analysis to establish the workflow context.

Identify Risk Patterns

Find patterns in waiting, repeated work, state history and assignments that are associated with SLA failure.

Predict What Happens Next

Score eligible open cases and surface those most likely to miss their deadline.

Know Which Cases Need Attention Next

Move from workflow risk to a prioritized case list. See predicted breach probability, time remaining and the factors behind each flag, so your team can focus its follow-up.

Predicted to breach table preview with column headers and three complete case rows
Prioritize cases most likely to miss their SLA. Risk AI brings predicted breach risk, time remaining and contributing factors together to support timely operational follow-up.

Understand the Prediction. Examine the Evidence.

See which factors shape the risk assessment, then compare predicted risk with completed case outcomes. Your team can inspect the basis for a flag and the analysis behind it.

Complete risk factor and hindsight check panels comparing flagged and unflagged completed cases with observed outcomes
Look behind the risk prediction. Explore patterns associated with SLA breaches and compare predicted risk with completed case outcomes to evaluate the evidence guiding follow-up.
// Next Step

Stop Finding Problems in Last Month's Report

No pitch deck. No pressure. Just a conversation about what you're trying to solve and whether we're a fit.

Book a Call
Good fit if you're
01
Investigating where cases accumulate or approach an SLA limit
02
Reviewing assignment coverage and recorded workload
03
Tracing repeated reviews, returns or handoffs