01 Capture
Demand enters from every front door.
Web forms, SMS, missed calls, and urgent inquiries become one clean intake path instead of scattered chaos.
Web formSMSMissed callAI queue
Interactive AI intake theater
Watch missed demand turn into a command-ready case.
This is not a chatbot demo. It is a live, consent-aware intake path that captures the inquiry, normalizes the record, checks guardrails, and hands the operator a clean next move.
Capture / Normalize / Guard / Score / Review / Reply /Capture / Normalize / Guard / Score / Review / Reply /
Scroll the workflow
Every stage should feel like the system is alive.
DemandRelay is now framed as an operating sequence, not a static form. This section is built as a lightweight code block pattern: self-contained visuals, no heavy library, and safe to adapt for Squarespace custom code.
02 Guard
Risk gets checked before reply.
Consent, opt-out posture, unsafe claims, and missing details are handled before the operator trusts the case.
ConsentPolicyFallbackReview
03 Command
The operator gets the next move.
Hot leads, SLA pressure, assignment, approval, and reply copy are brought into one premium command surface.
ScoreSLAAssignApprove
04 Prove
Proof becomes the upgrade path.
Recovered-pipeline reporting turns the pilot into a confident expansion conversation for PipelinePulse and VoiceBridge.
DigestROI modelRetentionExpand
Modeled impact
$19,152
monthly pipeline exposure modeled from missed demand, average job value, and close rate.
Commanded pipeline model$8,044
90-day proof window$24,131
Expansion triggerReady
Day 0Map sources, consent paths, and owner approval rules.
Day 7Run guarded demo intake and review every first reply.
Day 30Compare captured, reviewed, booked, and suppressed demand.
Day 90Decide expansion from visible proof, not sales theater.
Start
DemandRelay
Capture missed demand, qualify urgency, attach consent posture, and give operators clean next actions.
Guard
Kyntrava Guard
Add deeper claim controls, audit logs, suppression rules, and legal-review gates before outbound scale.
Expand
PipelinePulse
Turn live proof into trend reporting, owner digests, client dashboards, and retention conversations.
Does this guarantee recovered revenue?
No. The model estimates pipeline exposure and possible commandable pipeline. Real outcomes depend on lead quality, operations, sales process, timing, and market conditions.
What makes the demo production-safe?
The public page uses guarded API routes, consent capture, opt-out flags, native video, metadata-only loading, and operator review before outbound production messaging.
Live sequence
The client sees speed. The operator sees control.
1
CaptureLead arrives with source, contact method, notes, and consent metadata.
waiting
2
NormalizeMessy inquiry becomes one canonical service record.
waiting
3
GuardInput guard and business-policy guard block unsafe assumptions.
waiting
4
ScoreUrgency, temperature, SLA pressure, and owner visibility are computed.
waiting
5
Hand offThe command center gets a reviewable case and recommended reply.
waiting
What this proves
01Fast public capture
Prospects get immediate intake without exposing private operator controls.
02Compliance first
Consent, opt-out, and suppression posture are attached before follow-up.
03Human control
AI recommends. The operator can approve, assign, review, or escalate.
04Sales proof
Every lead becomes reportable evidence for recovered pipeline.