Boosty
CAPABILITY · PROCESS AUTOMATION

Your process doesn't need more people. It needs orchestration.

We model your process as an explicit state machine: each trigger evaluates conditions, decides which step to execute or skip, calls your core via API, and advances the state on its own. Not fragile Zaps — it's an engine that runs the entire process without anyone pushing it.

Partner AnthropicCorre en 8 industriasSobre tu stack actual
boosty · state-machine · blueprintejecutando
TRIGGERorders → deliveredCONDICIÓNPOD completo?RAMA OKreplenish stockEXCEPCIÓNpausa + notificaCOMMITestado → donetruefalse
flow.trigger()evento delivered captado
KPI 01

0

manual steps

in the orchestrated flow

KPI 02

0%

successful executions

with automatic retry

KPI 03

0h

recovered

per week, per team

KPI 04

0

industries

same engine running

UNDER THE HOOD

It doesn't execute blindly. It decides which step runs.

An automation that fires everything all the time is a time bomb. The engine evaluates the state, business conditions, and available data before executing each step — and shows you why it jumped, waited, or retried.

Lead de ejemplo

Lead crudo entra

Delivery registered as "delivered" on the driver portal, with complete POD: 3 compressed photos, signature, and "Received By". Inbound order type with linked source PO.

Claude razona

Valid state for transition

on_route → delivered is an allowed transition in the state machine

Preconditions met

Complete POD (photos + signature + recipient) → no missing evidence

Inbound branch detected

order has linked PO → auto-replenish stock to be executed

Idempotency verified

no prior execution with this delivery_id → safe to fire

Score

96/100

Veredicto de Claude

Execute: replenish stock + close route + notify client. State → completed.

WHAT THE ENGINE DOES IN YOUR PROCESS

Five jobs your team should no longer trigger manually

Each one runs on its own, 24/7, on every event that enters your process. Your team receives results, not operational tasks.

flow.trigger(event)

Starts the process only when what matters happens

Postgres trigger, incoming webhook, or state change. The raw event enters and the engine decides whether to start a flow, which one, and with what context — without anyone pressing a button.

flow.trigger(event)

› input

event: orders.status → "delivered" (Postgres trigger)

› claude →

event: delivery.completed

chosen flow: post-delivery-inbound

context: order_id, po_id, client_id

idempotency: unique key registered

→ state machine: started

THE SAME ENGINE

One orchestrator. Processes change, the mechanics don't.

We don't build a different engine per industry. The same state machine executes each business's own process. This is already running in production.

boosty · criterio-engine · 1 modelo · 6 industriasen producción
engine.read(Logistics) · Inbound post-delivery flow

Señales propias de la industria

Delivered status
Complete POD
Linked source PO
No prior execution
score96/100
Auto-replenish stock + close route upon marking delivered
mismo motorcero reentrenamiento por industria

EL WORKFLOW EN VIVO

Nodo a nodo. Ejecutándose ahora.

Cada nodo es un estado de la máquina. El motor lo ejecuta, marca su resultado y pasa el contexto al siguiente — sin que nadie lo empuje.

boosty · flow-orchestrator · post-entrega-inboundrunning
trigger()

orders.status → delivered

pending

route()decide

evalúa estado · rama inbound

pending

transform()

match SKU · normaliza payload

pending

replenish()

auto-restock inventario

pending

notify()

cliente + cierre de ruta

pending

flujo completado · estado → completed · 0 pasos manuales

EL ANTES Y EL DESPUÉS

Seis pasos a mano. Cero después.

El mismo proceso, dos realidades. A la izquierda lo que hace una persona hoy. A la derecha lo que ejecuta el motor — y el tiempo que eso devuelve cada semana.

Proceso manual~22 min · 38×/sem
  1. 1Revisar entrega en el portal y confirmar POD
  2. 2Copiar datos de la orden al ERP a mano
  3. 3Buscar la PO de origen y cruzar líneas
  4. 4Ajustar stock del inventario manualmente
  5. 5Redactar y enviar correo de cierre al cliente
  6. 6Marcar la ruta como cerrada en otro sistema

Frágil · se rompe en el primer caso excepcional · no auditable

Proceso orquestado~4s · automático

› flow.trigger(delivery.completed)

› route() → rama inbound

› transform() · match SKU · normaliza

› replenish() · stock ajustado

› notify() · cliente + ruta cerrada

✓ completado · estado → completed

Tiempo recuperado / semana

0.0 h

por equipo · solo en este proceso

LA CADENA DE DISPARO

Trigger → condición → acción → webhook.

Así se encadena cada automatización. Un evento entra, una condición decide si procede, una acción se ejecuta y un webhook propaga el resultado al resto de tu stack.

boosty · trigger-chain · oportunidad-ganada → proyectoidempotente
TRIGGER

oportunidad.status → "ganada" (trigger Postgres)

CONDICIÓN

valor ponderado > 0 · BU asignada · sin proyecto previo

ACCIÓN

crear proyecto en paso "Pedido" + registrar fecha revenue

WEBHOOK

notifica equipo (realtime) + email Resend opt-in al gerente

esperando evento entrante...

CONNECTED STACK

Orchestrates your stack. Doesn't replace it.

The engine connects to what you already use. If your core has a REST API, we orchestrate it; if it's legacy, we bridge it with Make/n8n.

Anthropic

Claude · Anthropic

Certified partner

Decides which step runs, classifies exceptions, and parses unstructured documents

Supabase

Supabase

Certified partner

Deno Edge Functions + Postgres triggers: the state engine runs here

Make

Make

Certified partner

Visual orchestration and webhooks to any ERP or legacy core without a modern API

n8n

n8n

Self-hosted workflows for processes with sensitive data that stays in your cloud

Kommo CRM

Kommo CRM

Certified partner

Bidirectional sync: a stage change triggers the correct process

WhatsApp

WhatsApp Business

Flow notifications and exceptions go out through the channel where the client responds

Frequently asked questions about process automation

No. Zapier and native automations fire rigid sequences: "if A happens, do B". That breaks on the first edge case. We model your process as an explicit state machine: the engine evaluates the state and conditions before each step, decides to advance/skip/wait, and handles retries and idempotency. It's the difference between a script and an orchestrator.

The flow is not lost. The engine distinguishes a transient failure (HTTP 503, timeout) from a data error. On a transient error it retries with exponential backoff respecting idempotency to avoid duplicates. If the retry policy is exhausted, it freezes the state, alerts operations, and puts the case in a reprocessing queue — never a case "lost in the air".

No. The engine lives ON TOP of your stack. If your core or ERP has a REST API we orchestrate it directly; if it's legacy with no modern API, we bridge it with Make/n8n and webhooks. Your team keeps working where they already work — only the repetitive manual steps disappear.

Every decision is traced: which state was evaluated, which condition was met or not, which branch was chosen, and why it retried or escalated. It's not a black box — it's an auditable process. That's why the team trusts activating it without step-by-step supervision.

You define the control points. Low-risk steps (map data, move state, notify) run on their own. Sensitive steps (issue a legal document, execute a payment) can require explicit human approval before advancing. It's gradual: you activate more autonomy as you trust the engine.

There's no practical limit. We've modeled 11-step processes crossing CRM, ERP, AI document validation, third-party APIs, and multi-channel notifications. The state machine scales because each transition is explicit; adding a step is adding a state, not rewriting the flow.

Yes. When data cannot leave your cloud we use self-hosted n8n and Deno Edge Functions inside your Supabase. The engine runs where your data runs, with RLS and Postgres roles respected on every transition.

Setup + monthly fee + variable cost per execution (cents of USD). A first orchestrated process goes live in 3-4 weeks: we map the state machine, connect your stack, and activate with control points. Schedule a 30-min assessment and we'll map your process live.

Gabriel Montiel
Fundador · Boosty Digital

A WORD FROM THE FOUNDER

The process doesn't fail for lack of people. It fails because good people spend their day pushing steps that a machine should execute on its own.

I've seen entire operations where the most capable person on the team spends their day copying data from one system to another, chasing whoever needs to sign, and manually retrying an API that went down. That work isn't strategic — it's a state machine nobody has modeled yet.

Process automation isn't about gluing three Zaps together that break on the first unusual Monday. It's about modeling your process as what it is: explicit states, transitions with conditions, exception branches, and a clear retry policy. When the process is well modeled, it executes on its own — and when it fails, it fails visibly and recoverably, not silently.

If your best people are doing bot work, schedule 30 minutes with me. Not with a salesperson. With me. We'll map your process live and I'll show you where it runs on its own from week 4.

Firma de Gabriel Montiel

Gabriel Montiel

CEO · Boosty Digital

Anthropic Partner·Google Partner·Meta Business Partner·UCAB Industrial Engineer·MBA·13K followers as GMT

LET'S TALK

Ready for a process that runs on its own?

Schedule a 30-minute assessment. We'll map your process as a state machine live and show you which steps disappear from week 4. No corporate presentation, no theater.

Mapeo de tus procesos con mayor retorno al automatizar
Proyección de horas ahorradas por mes
Plan de implementación con Make / n8n / Claude

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