Real proof

Built different. Proven daily.

RelayLaunch is not a generic AI wrapper with projected outcomes. We run our own company on the same system: tests, specialists, approval flows, safety checks, and Recovery Engine workflows included.

Dogfooded on RelayLaunch every day No seeded metrics on this page Owner-approved workflows only
Evidence grid

What is already real

This page focuses on shipped evidence: what exists, what runs, and what is already part of the RelayLaunch operating loop.

2,800+

tests passing

Platform-wide test coverage across the website, Relay Deck, Relay Pulse, and CouncilVerse before we call anything production-ready.

96

blog posts live

Published operating content spanning 12+ verticals so the product, messaging, and recovery playbooks are pressure-tested in the open.

51

AI Specialists

Specialists mapped to concrete business work instead of one generic assistant trying to do everything badly.

16

Rooms

Dedicated business lanes covering recovery, growth, scheduling, finance, operations, and decision support.

8

SOC 2 policies

Compliance readiness is documented now, not promised later, with policy work already in place across the platform.

Daily

dogfood loop

RelayLaunch uses its own AI operations stack every day, so weak flows show up in our business before they ever reach yours.

Cascade-gated

adversarial review

Every release passes a tiered cascade: Junior 80 → Supervisor 85 → Manager 90 → ISA 92 with fresh-eye isolation, multi-model council verification, and full proof audits before ship. Scores per release published in the changelog, not hardcoded.

2

early pilot businesses

Wellness practice and auto repair pilot programs, early access. The wellness client pays for a website + console build (founder-reported); neither pilot has produced a measured AI-recovered-dollar outcome yet, and pilot owners have not consented to specific public numbers. Industry-benchmark projections (40% fewer no-shows, $7,800 recovered revenue, 27% re-bookings) are illustrative scenarios, not measured outcomes from these pilots.

Trust architecture

Trust comes from controls, not copy.

If AI is going to touch customer communication, schedules, or operational decisions, the system needs proof layers that hold up under review.

Auditable decisions

AI decisions are logged, not hand-waved.

Every AI recommendation carries a full decision record: reasoning, timestamp, confidence score, and approval trail. Cryptographic signing is on the roadmap for verified audit exports.

Owner approval

Nothing sends without a human saying yes.

RelayLaunch prepares actions, drafts, and outreach, but the owner stays in control. No silent automations. No surprise messages. No rogue sends.

Constitutional checks

Safety is part of the workflow, not a disclaimer.

Constitutional AI checks and review layers help catch unsafe, low-confidence, or out-of-policy recommendations before they become actions.

Compliance

Compliance readiness is visible work.

For small businesses, trust is not only about uptime. It is also about whether the platform is building the right governance and documentation before the stakes get higher.

SOC 2 readiness

Eight policies are already in place so governance, access control, and auditability are designed into the product instead of bolted on after sales.

EU AI Act manifest

The platform includes an EU AI Act manifest so model behavior, controls, and evidence can be documented with a compliance-first posture from the start.

Recovery Engine

What the product actually does

The commercial wedge is not “AI vs AI.” It is a practical recovery system that helps owners protect revenue without handing the keys to automation.

Detect lapsed clients

The Recovery Engine identifies clients who have gone quiet, flags churn risk, and turns that signal into an owner-ready recovery queue.

Fill open slots

When the calendar has holes, RelayLaunch surfaces the best recovery and scheduling actions so unused capacity does not quietly drain revenue.

Generate review opportunities

Positive moments can be converted into owner-approved review requests so reputation growth becomes a repeatable workflow instead of a forgotten task.

Core rule: RelayLaunch drafts the next best action, but the owner stays in control. That is how lapsed-client recovery, slot rescue, and review generation become trustworthy operational workflows.
Next step

See the gaps. Then decide.

Start with the free scan to see where recovery, scheduling, follow-up, and approval flows are leaking time or revenue.

View Markdown facts