Operon.Cloud
May 2026
Overview Deck
01 / 18
Operon.Cloud — Overview

Live operational visibility
for clinical workflows.

See where cases stall, what they cost, and whether AI delivers. Across every workflow, every team, every vendor.
Document
Operon.Cloud Overview
Issued
May 2026
Audience
Health plan leadership
Pages
18
Operon.Cloud
The Shift
02
Operon.Cloud Overview
The Shift

The clinical operations model already changed.

AI tools, point solutions, and delegated vendors landed across every workflow. The infrastructure to manage operations didn't.
The reality
10×More Complexity
More tools, vendors, and handoffs touching every case.
The gap
ZeroMore Control
No commensurate gain in visibility, accountability, or measured ROI.
The shift in operational complexity
Operon.Cloud
What is Live Operational Visibility?
03
Operon.Cloud Overview
The Premise

What is Live
Operational Visibility?

Run clinical operations with visibility across workflow, cost, and impact. Today, the answers live in monthly reports, spreadsheets, and vendor-reported numbers.
01 / Workflow

Workflow Visibility

Where does work go and where does it stall?
  • Which stages take longest?
  • Where do handoffs fail?
  • What's at SLA risk right now?
02 / Performance

Cost & Performance

Who does the work and what does it cost?
  • What does each case actually cost?
  • Who's performing and who's not?
  • Where are the ownership gaps?
03 / AI

AI Adoption & ROI

What is the impact of my AI investments?
  • Which cases did AI touch?
  • What actually changed?
  • Is the investment paying off?
Operon.Cloud
Stakeholders
04
Operon.Cloud Overview
Stakeholders

One problem. Every leader sees a different piece.

Function
Where it hurts
Clinical Leadership
CMO · VP Clinical Ops
UM · CM · Quality · Pharmacy
Finance & Performance
CFO · VP Performance
Medical Economics
Operations & Vendor
COO · VP Vendor Mgmt
Delegation Oversight
Technology & Innovation
CIO · CTO · Chief AI Officer
Innovation
Workflow VisibilityWhere work moves & stalls
SLA breaches surface after the damage is done. No visibility into care quality across teams.
Rework loops are invisible cost drivers.
Bottlenecks are felt but never traced.
No process data beyond what vendors report.
Cost & PerformanceWho does it & what it costs
No way to compare clinical productivity across teams or sites.
No unit economics for clinical operations.
Partner operating model is a black box.
Human vs. AI cost comparison doesn't exist.
AI Adoption & ROIWhat AI actually changed
AI touches cases but the operational impact is unclear.
AI spend has no defensible ROI.
Can't baseline before vs. after AI.
Can't prove AI ROI to the board.
Operon.Cloud
The Solution
05
Operon.Cloud Overview
The Solution

A live visibility layer for clinical operations.

Operon follows real workflow cases end-to-end across people, systems, vendors, and AI tools. It turns workflow activity into the answers leaders need.
Workflow Visibility
Where work moves, where it stalls, and where handoffs fail.
Cost & Performance
Who does the work, what it costs, and whether the operating model is working.
AI Adoption & ROI
Which cases AI touched, what changed, and whether the investment pays off.
→ Outcome See what is happening. Prove what changed. Scale what works.
Operational telemetry layer
Operon.Cloud
Where This Shows Up First
06
Operon.Cloud Overview
Use Cases

Where this shows up first.

"I don't need another dashboard. I need to know which cases are drifting, which teams are stuck, and what will break before the monthly report shows it."
VP Clinical Operations
Medicare Advantage Plan
01 · UM

Prior Authorization Visibility

Catch SLA risk before breach. See queue wait, rework loops, and appeal exposure.

SignalSLA breach + 24h forecast
02 · Vendor

Vendor Performance Scorecarding

Replace QBRs with case-level performance. See delegate speed, cost, and ownership gaps.

SignalCycle · cost · ownership
03 · Claims

Claims Processing Visibility

See what happens after auto-adjudication fails: pend aging, fallout, denial loops, and exception cost.

SignalFallout · pend aging
04 · AI

AI Impact Measurement

Know which cases AI touched, what changed, and whether the investment is paying off.

SignalAdoption · outcome delta
05 · Quality

Quality & Stars Visibility

Connect UM, CM, and gap-closure work to HEDIS, Stars, and member experience.

SignalHEDIS · Stars linkage
06 · Pharmacy

Pharmacy PA Visibility

Segment specialty drug queues. Track GLP-1s, exceptions, cycle time, and breach risk.

SignalGLP-1s · specialty drugs
Operon.Cloud
Workflow Visibility
07
Operon.Cloud Overview
Pillar 01 / 03

Workflow
Visibility.

See how cases move across internal teams, vendors, and automated systems. Every stage, every handoff, every delay, as it happens.
Process tracing focus
Real-Time Case FlowWhere does work go & where does it stall?
Cases cross 10+ stages, multiple teams, vendors, and automated systems. Operon gives teams a live view of every case, stage, handoff, and status, as it happens.
SLA Risk DetectionWhat's about to breach?
Surface SLA exposure before breaches happen. See which cases are at risk now, which stages are slowing down, and where intervention can still change the outcome.
Rework & Friction AnalysisWhy is cycle time rising?
Uncover rework loops, failed handoffs, and bottleneck patterns behind rising cycle time and cost. See where cases repeat the same stages and why.
Operon.Cloud
Control Tower
08
Workflow Visibility
Workflow Visibility · Control Tower

Find friction before it finds you.

Live view
Cases · Stages · Owners
operon / control-tower
All Workflows● Live
Control Tower — friction matrix and time/touch hotspots
Operon.Cloud
Risk AI
09
Workflow Visibility
Workflow Visibility · Risk AI

Predict risk before it becomes a breach.

Predictive scoring
Per-case · Per-stage
operon / risk-ai
PredictiveReal-time
Risk AI — predictive and static SLA risk assessment
Operon.Cloud
Loop Atlas
10
Workflow Visibility
Workflow Visibility · Loop Atlas

Trace every loop. Quantify every minute.

Rework topology
Stage · Frequency · Cost
operon / loop-atlas
Rework analysis1,000 cases
Loop Atlas — time-study matrix and interaction loop rates
Operon.Cloud
Cost & Performance
11
Operon.Cloud Overview
Pillar 02 / 03

Cost &
Performance.

Track who is performing and who is not across every team and vendor relationship. See assignment, ownership, throughput, and where cases have no clear owner.
Operational economics focus
Resource & Vendor PerformanceWho is delivering & who is not?
See assignment patterns, ownership gaps, throughput by actor, and where cases have no clear owner across internal teams and delegated vendors.
Workload & Capacity IntelligenceCan we handle what's coming?
See how work is distributed across the operation. Identify overloaded teams, idle capacity, and whether the current model can handle what is coming.
Cost-Per-Case VisibilityWhat does each case actually cost?
See the true cost of every case across internal staff, delegated vendors, and automated systems. Cost per touch, stage, actor, and rework loop, tied to real workflow activity.
Operon.Cloud
Resource Leaderboard
12
Cost & Performance
Cost & Performance · Resource Scorecard

Measure every resource. By output, not hours.

Internal · Vendor · AI
Throughput · Wait · Score
operon / resource-leaderboard
20 resourcesLive scoring
Resource Leaderboard — throughput, pickup wait, and performance score by resource
Operon.Cloud
Assignments Matrix
13
Cost & Performance
Cost & Performance · Ownership

See every case, every stage, every owner.

Current state
By assignee & stage
operon / assignments-matrix
219 casesLive state
Current Assignments Matrix — case state by assignee and stage
Operon.Cloud
Workload Heatmap
14
Cost & Performance
Cost & Performance · Capacity

Know where every resource is. Right now.

Daily workload
1,027 cases
operon / workload-heatmap
Daily● Live
Resource Workload Heatmap — daily cases by resource
Operon.Cloud
AI Adoption & ROI
15
Operon.Cloud Overview
Pillar 03 / 03

AI Adoption
& ROI.

See which cases AI touched, which workflows it is active in, and where it is not being used. Map adoption from actual case-level activity.
AI impact focus
AI Adoption MeasurementWhere is AI active & where is it not?
Map adoption across every workflow, team, and vendor from actual case-level activity. See which cases AI touched and which it didn't.
Outcome Impact AnalysisWhat changed when AI touched the case?
Compare before and after on the metrics that matter: cycle time, manual touches, turnaround, denial rates, and cost.
Human vs. Automated ComparisonIs the investment paying off?
Compare AI-handled, human-handled, and hybrid cases side by side. Same workflow, same case type, real operational data.
Operon.Cloud
AI Adoption & ROI
16
AI Adoption & ROI
AI Adoption & ROI · Executive View

See your AI adoption and ROI in one view.

Adoption mix
+ Cost / time savings
operon / ai-roi
1,000 casesReal-Time
AI adoption — time-study matrix and interactionsAI adoption — savings, leaders, agent mix
Operon.Cloud
How We Engage
17
Operon.Cloud Overview
How We Engage

Start with a 1-week bootcamp.
Measure. Prove. Scale.

Phase 01

Bootcamp

1 week · fixed scope
See Operon on your real workflow data and walk away with a live operational scoreboard by Friday.
Outputs
  • Workflow walkthrough across UM, CM, pharmacy, quality, or appeals
  • Live scoreboard built on real operational data
  • Bottlenecks, SLA risk, and rework surfaced
  • Go / no-go decision by Friday
Phase 02

Baseline + Low-IT Pilot

2 – 10 weeks · 1 workflow
Measure the baseline, then prove adoption, bottlenecks, and ROI on one workflow with minimal IT lift.
Outputs
  • Baseline measurements (unit cost, labor hours, cycle time)
  • 3–5 data sources via lightweight integrations
  • Adoption map + case-flow diagnostics
  • Impact scorecard + executive readout
Phase 03

Enterprise Scale

Ongoing · governed cadence
Expand across workflows, vendors, and lines of business with a standardized measurement and governance cadence.
Outputs
  • Prove → improve → scale governance cadence
  • Portfolio view across initiatives (fund, fix, stop)
  • Continuous bottleneck detection
  • ROI tracking over time
Operon.Cloud
Thank you
18
operon.cloud
Let's work together

Make AI
adoption measurable.

Measurable. Transparent. Trusted. That's the operational scoreboard every clinical leader needs. And we'd love to build yours.
Founder
Pavel Grebenshikov
Email
pavel@operon.cloud
Web
operon.cloud
Issued
May 2026