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Resumen de la plataforma

La capa operativa entre tu trabajo y tus sistemas

Dagploy gives automation to the team to deal with manual back office work using AI Agents. Its follow existing company policy, rules and exceptions.

Iniciar un piloto

Any input

Email · Photos · Files · Spreadsheets

Dagploy Agents

Execute the work

Your system

ERP · CRM · Databases

Una base compartida

Agent that doing the work

Custom build tailored into your current work process that running at scale.

01

Data

Any emails, messages, images, documents, and spreadsheets.

02

Decision

Logic processing based on your business rules.

03

Action

Create records, send responses, and complete the work.

04

Monitor

Keep the AI Agents performance within the expectation.

Un único panel

Un solo lugar para todos los agentes

Build an agent, put it to work, and watch it run from a single dashboard. Every manual process you hand over stays visible: what got processed today, what is still in the queue, and which agent handled it. No status meetings, no spreadsheet of who is doing what.

The Dagploy dashboard showing daily task volume, active agents, and remaining task quota.

Every agent in one list

Create an agent, switch one on or off, and see how many tasks each has completed this month.

Volume you can plan around

Daily task volume with actual against forecast, plus the quota you have left to spend.

Nothing runs unseen

Tasks, channels, chat, and notifications sit in one place, so every finished and pending job stays traceable.

Por donde llega el trabajo

Cualquier canal

Your team does not have to open another tool. They forward the email, snap a photo of the document in WhatsApp, or drop the file into the Teams channel they already sit in all day — and the agent picks it up from there, does the work, and answers in the same conversation.

EmailGoogle ChatMicrosoft TeamsWhatsAppTelegramy muchos más
No new app to learn
Work arrives through the inbox and chat apps your team already uses every day.
The answer comes back
Confirmation and the reference ID land in the same thread, seconds later.
AI Agent work
The same rules and the same system of record, whichever channel the work came in through.
A Telegram chat where a photo of a bill of lading is sent to a Dagploy document agent, which replies confirming the document entered the ERP system with reference ID DOC-2392.
The Dagploy routine scheduler, creating a schedule that runs a document collection at 09:00, 13:00 and 17:00 from Monday to Friday.

Programador de rutinas

El trabajo recurrente se ejecuta solo

Write the instruction once in plain language and choose when it should run. Dagploy sends it to the agent exactly as if someone had typed it, so the morning document collection, the hourly reconciliation, and the Friday report all happen without anyone remembering to start them.

Repeat
Every few minutes or hours, for work that cannot wait for a fixed slot.
Time of day
At set times on chosen days — 09:00, 13:00 and 17:00, Monday to Friday.
Once
A single date and time, for a cutover or a one-off batch.

Times follow your own timezone, and every scheduled run appears in the agent chat like any other message — so you can always see what ran and when.

Cómo funciona

The Deployment Plan

01

Share the data sources

02

Create business rules

03

API integration

04

Stress Testing

05

Production

Diseñada para el control

Human judgment where it matters.

Review the output before entry into the system.

Human approval
Action history
Auditability
Secured API
Feedback Loop
Escalation

Tráenos un flujo de trabajo manual

We'll map it, connect it, and turn it into a working AI agent pilot.

Habla con nuestro equipo