Go Live on Your Data in Five Days.
One week. Your operational data, read-only. Your team at the controls. Monday the extract lands. Friday you decide, with evidence. No IT overhaul. No commitment to purchase.
One Week. Your Data. Your Team at the Controls.
Five days, each earning the next. The scoreboard above is the one your team builds; here is what happens between Monday's extract and Friday's decision.
- Intake: 20,000 cases · 8%
- Clinical Review: 95,000 cases · 38%
- MD Review: 30,000 cases · 12%
- Decision: 35,000 cases · 14%
- Letters: 25,000 cases · 10%
- Closed: 45,000 cases · 18%
- Mon, Extract loaded: 250,000 cases, one month
- Tue, Workflow mapped: 6 steps, Intake to Closed
- Wed, Scoreboard live: 72h median cycle time, by step
- Thu, Bottlenecks found: $16.40 Clinical Review, largest · vs $15.00
- Fri, Decision ready: +$1.50 gap per case, vs $30.00 target
- TARGET PER CASE: $30.00
- MODELED · YOUR DATA: $31.50
- GAP: +$1.50
- CLINICAL REVIEW VS SHARE: +$1.40
Your operational data arrives as a read-only extract. Nothing in your systems changes.
Activities- Kickoff with the workflow owner and frontline leads
- Lightweight extract or read-only view connected
- Workflow walkthrough: UM, CM, pharmacy, quality or appeals
Your real month is loaded, not a demo dataset.
Cases sort into the steps your team actually runs.
Activities- Map steps, handoffs, systems and data sources
- Define what "stuck" and "breached" mean for this workflow
- Hands-on-keyboard: your leads build the step model
One workflow map, agreed by the people who run it.
The first live operational scoreboard reads from your data.
Activities- Cycle time by step and by reviewer
- SLA breach rate by queue
- Throughput and queue depth
Live visibility your team opens on Thursday morning.
See where cases stall, why, and what breaches SLA.
Activities- Re-entries and rework loops surfaced
- Cost per case read against the target, by step
- An owner named for each finding
A short list of bottlenecks, each with evidence behind it.
Enough evidence to decide next steps.
Activities- Readout with the workflow owner
- Baseline figures recorded
- Go / no-go on the Operational Baseline phase
Your team owns it. Not a handoff to IT.
No matter how many dashboards you've built or vendors you've tried - UM reviews still take too long, care management can't prove impact on quality, pharmacy PA queues keep growing, appeals keep coming, and your Stars data is always 6 months stale.
Give us one week with your actual operational data. We'll show you a different way - or we'll shake hands and walk away.
Why Bootcamps Work
Your data, not a demo
We run on your real operational data - UM cases, CM outreach logs, pharmacy queues, quality gaps, appeals. The results you see are the results you'll get.
No IT overhaul required
We connect via lightweight data extracts and read-only views. Your existing UM platform, CM system, and claims warehouse stay completely untouched. No system integrations, no IT tickets, no rip-and-replace.
5 days, not 12 months
Skip the 6-month pilot. See live operational visibility this week, decide next week.
Your team drives
This isn't a vendor demo. It's a hands-on-keyboard sprint with your clinical ops team at the controls.
Measuring what actually matters
Most operational dashboards track activity. Operon tracks impact - unit cost, cycle time, labor hours, and the connection between what your teams do and what your quality measures show.
One week to prove what took others years
Your team has been patching clinical ops visibility with spreadsheets and vendor reports. The bootcamp replaces years of workaround-building with a production-grade operational scoreboard in 5 days.
What Can You Build in One Week?
Every bootcamp produces working deliverables, not slide decks. One example per focus area; yours is scoped to the workflow you bring.
Live case flow with bottleneck detection
See which PA cases are stuck, why, and what's about to breach SLA - in real time, not a weekly report.
What you'd measure- Cycle time per case type - by queue, reviewer, and decision category
- SLA breach rate by queue - with early warning alerts for approaching deadlines
- Throughput by reviewer - cases processed, pending, and bottleneck identification
Outreach linked to gap closures
Prove which CM touches actually move HEDIS measures. Connect activity to outcomes.
What you'd measure- Touch-to-closure conversion rate - which outreach types close which gap types
- CM hours per gap closure - labor efficiency by measure and intervention
- Outreach ROI by measure - cost per gap closed, ranked by impact
Real-time Stars measure tracking
Mid-year course correction. See if clinical actions are moving measures now, not 6 months from now.
What you'd measure- Projected vs. actual rates - by measure, updated from operational data
- Operational driver analysis - which clinical actions move which measures
- Gap-to-target delta - real-time distance to Stars thresholds
Real-time specialty drug queue visibility
See where GLP-1 and biosimilar cases bottleneck and which are approaching deadline breach.
What you'd measure- Queue depth by drug class - GLP-1, biosimilar, specialty tiers separated
- Time-to-decision by complexity - standard vs. peer-to-peer vs. exception cases
- SLA breach risk by priority - upcoming deadlines ranked by urgency
Upstream root-cause visibility
Trace every appeal back to the operational failure that caused it.
What you'd measure- Appeals by root cause - categorized by upstream decision type
- Decision-to-appeal conversion rate - which UM decisions generate the most appeals
- Preventable appeal rate - percentage traceable to operational failures
Independent vendor performance scorecards
See delegated UM partner SLA compliance from your own data, not their self-reported numbers.
What you'd measure- Vendor turnaround vs. contractual SLA - actual performance against commitments
- Decision consistency across vendors - variation in approval rates and patterns
- Outlier detection by case type - flag vendors deviating from expected patterns
Who Should Attend
Bring 3-5 people from your team. No IT staff required for the bootcamp.
The workflow owner
VP or Director who owns the clinical operation. Sets priorities, defines what 'better' looks like.
Frontline leads
1-2 people who run the day-to-day. They know where cases get stuck and why workarounds exist.
Data or analytics
Optional. Someone who knows where the operational data lives. Helpful but not required - we'll find it together.
From Bootcamp to Enterprise Scale.
Start with a one-week bootcamp on your real operational data. Prove value before you commit. Scale to every workflow when you are ready. Four phases, each earning the next.
Bootcamp
1 weekObjective: See your workflows on Operon, build your first live operational scoreboard, and walk away with your team owning it.
What happens this week- Workflow walkthrough map your current UM, CM, pharmacy, quality, or appeals operations
- Live scoreboard built on your real operational data, not a demo dataset
- Bottleneck identification see where cases stall, why, and what breaches SLA
- Team hands-on-keyboard your ops leads run the platform, not our consultants
- Go/no-go decision ready enough evidence to decide next steps by Friday
Operational Baseline
2-3 weeksObjective: Measure your workflows, establish performance baselines, and define a pilot-ready plan.
What you get- Workflow selected + baseline measurements (unit cost, labor hours, cycle time)
- Workflow + measurement map (events, handoffs, systems, data sources)
- Validation owner identified (who signs off "impact is real")
- Top 3 hypotheses to test in the pilot (next-quarter candidates)
- Pilot-ready scope + success criteria (so the pilot is execution, not debate)
Low-IT Pilot
6-8 weeksObjective: Surface process bottlenecks, resource gaps, and AI impact for one workflow in production - with minimal IT lift.
What you get- 3-5 data sources connected via lightweight integrations (extracts / read-only views)
- Adoption & resource map (who handles what - human, AI, vendor - and how often)
- Process diagnostics (bottlenecks, rework loops, SLA risk, cycle-time drivers)
- Operational scorecard + executive readout (process health, unit economics, AI impact)
- Actionable improvement plan (top interventions, owners, expected KPI movement)
Enterprise Scale
OngoingObjective: Run Operon as your operational control plane. Expand across workflows with predictable, ROI-based pricing.
What you get- Add workflows as you expand (prior auth, appeals, care coordination, referrals, digital outreach)
- Custom Executive Scorecard + CFO Attestation Pack (process, cost, and AI impact)
- Dedicated success lead + quarterly operational reviews
- AI Adoption & ROI measurement activates automatically when AI agents detected in workflow data
- Flexible billing commit annually or pay monthly/quarterly actuals
Ready to See Operon on Your Workflows?
Tell us about your clinical ops challenge. We'll schedule your bootcamp within the week.
- No commitment to purchase
- Your data, your workflows, your results
- 5 days from kickoff to live visibility