PRODUCT

Eleven modules. One graph.

Every module reads and enriches the same Patient Relationship Graph — hospitals buy modules, and each one makes the others better.

VeloCRM

used by everyonemoves: data completeness & duplicate rate

Primary buyer: VP Patient Experience / COO

The foundation the rest sits on — deliberately unglamorous; its job is making everything else trustworthy.

Patient 360 unified timeline (comms, appointments, referrals, campaigns, complaints, tasks, AI events)
Household & relationship graph with proxy permission scopes
Human-approved duplicate merge with unmerge journal
Consent-aware contact preferences (channel × purpose)
Segmentation query builder with saved, refreshable cohorts
Global patient search — phonetic, typo-tolerant, <300ms

VeloAccess

the usual starting pointmoves: no-show rate · slot utilization · speed-to-appointment

Primary buyer: Chief Access Officer / Ambulatory Ops

Where most hospitals start: appointment requests, waitlists, forms and fewer missed appointments.

Appointment request queue with SLA states and claim semantics
Waitlists with rules-based auto-backfill of cancelled slots
Digital intake packets assigned by visit type
Eligibility & prior-auth task ladders
No-show risk with visible drivers and tiered reminder intensity
Keyboard-first console — request-to-booked under 90 seconds

VeloEngage

the usual starting pointmoves: show rate · confirmation rate · campaign conversion

Primary buyer: Marketing / Patient Engagement

Campaigns, journeys, reminders and education — every send crossing the consent gate.

Reminder ladders (T-7 email, T-3 SMS, T-1 SMS) slot-state aware
Confirm / cancel / self-reschedule links that update real slot state
Two-way messaging into one thread per patient
TCPA-compliant STOP handling, instant and audited
Education journeys with enrollment rules and exit conditions
The pre-send panel: audience → consent-eligible → final count, every exclusion citing its rule

VeloReferral

a common starting pointmoves: referral aging · conversion · leakage recovered

Primary buyer: Physician Relations / Service-Line Growth

The clearest hard-dollar ROI in the category: every referral gets an owner, a clock and an outcome.

Inbound worklists sorted by age, severity and value
Missing-info checklists with AI-drafted chase messages
Idle-referral alerts and leakage reasons (mandatory taxonomy)
Referring-provider dashboards with volume-drop alerts
Referral → appointment → completed-visit attribution
No silent closes — terminal states require an outcome

VeloCall

later phasemoves: wrap-up seconds saved · first-call resolution

Primary buyer: Contact Center / Patient Access

CTI companion first (zero telephony migration), healthcare IVR intents second, full console third.

Screen-pop identity match with confidence ranking
Verification gate — PHI masked until identity is confirmed
Context panel: open items first, then timeline, actions inline
AI wrap-up: summary, disposition, extracted tasks in one click
Callback queues with consent-aware windows

VeloExperience

later phasemoves: complaint SLA compliance · recovery rate

Primary buyer: Patient Relations / Quality / Compliance

Surveys that trigger action, complaints that carry regulatory clocks, and a recovery loop.

Complaint intake from every channel, normalized into one case
AI triage: severity, department, sentiment, grievance triggers
Grievance track with encoded written-response clocks
Service-recovery playbooks — AI drafts, humans send
Department heatmaps with drill-through to cases

VeloNavigator

later phasemoves: follow-up completion · gap closure rate

Primary buyer: Care Management / Population Health

Operational care coordination — rule-driven worklists, ADT-triggered follow-up, documented outcomes. Never a clinical chart.

ADT discharge events open follow-up worklists in minutes
Care-gap rules produce prioritized outreach queues
AI-drafted call scripts, navigator-edited
Issue routing: appointments, escalations, transport, social needs

VeloProvider

later phasemoves: referral volume per provider

Primary buyer: Physician Relations / Network Development

Referring-physician 360 for the liaison team.

Provider 360: referral history, conversion, aging experienced
Field-friendly visit logging in under a minute
Statistical volume-drop alerts with AI context briefs
Provider tiers driving outreach cadence

VeloOutreach

later phasemoves: campaign ROI in visits, not clicks

Primary buyer: Marketing / Growth

Service-line growth campaigns with native attribution.

Touch → form → booking → completed-visit attribution
Community events with registration and post-event journeys
Propensity cohorts — explainable, consent-enforced

VeloLoyalty

later phasemoves: retention cohorts · lifetime-value proxy

Primary buyer: Growth / Retention

Churn-risk and missed-follow-up detection over the household graph.

Missed-recall and lapsed-household worklists
Next-best-action recommendations with evidence
Family-graph opportunities

VeloAnalytics

included with every planmoves: ships in every tier — analytics is the renewal engine

Primary buyer: Executive team / Strategy

Every module's numbers on one definitions layer, plus the daily AI brief.

Metric layer: every KPI computed once, versioned, documented
Executive posture: access, growth, referrals, experience
Daily AI brief — narrates computed metrics, never invents numbers
Campaign attribution reporting with model transparency
See them live in the demo