Agentic implementation · from advice to action

AI implementation: getting the recommendations done.

Advice that nobody carries out is wasted. Armadello sends each recommendation to whoever should do it: your agency, our specialists, or your own AI.

The request-work button and the MCP server are included. AI agents that act start with the Marketing package.

Arnie's recommendations with the request-work button
Why it matters

Small teams and busy agencies run out of time.

Most recommendations stay on the list because nobody has time to carry them out. Armadello closes the gap between knowing what to do and getting it done.

The usual way

Recommendations in a report
Read once, then forgotten.
Briefs written by hand
Someone has to explain the problem again.
AI that cannot see your data
Answers based on guesses.

The Armadello way

One button from advice to work
The recommendation goes with its figures.
Your agency or our specialists
Whoever should do it.
Your own AI on your real data
Through the MCP server.
Live today

Two ways to get it done, available now.

Both are included, and both keep a person in charge of what happens.

A button to request the workLive

Each of Arnie's recommendations has a button that sends it to whoever should carry it out: the agency or reseller that set you up, or our specialists if you do not have one. The work is quoted and agreed before it starts.

  • From the recommendation straight to the person who does the work
  • Your agency, or our specialists
  • Priced by the job
The button that asks for the recommendations to be carried out

The Armadello MCP serverLive

MCP is the standard way for AI assistants to connect to other software. Through the Armadello MCP server, Claude, ChatGPT, Optmyzr or your PPC tool can read your Armadello data and work on it in the tools you already use.

  • Claude and ChatGPT
  • Optmyzr and other PPC tools
  • Working in the tools you already use
In development

Armadello's own agents, with a person approving each change.

Agents that carry out an approved recommendation, starting with the most common jobs in each package.

EcommerceIn development

For example, flag and reprice a product a competitor undercuts, once you approve.

Lead generationIn development

For example, move budget towards the campaigns that bring sales, once you approve.

MarketingIn development

Carry out Arnie's recommendations, each step approved by you first.

Who it is for

For teams with more advice than time.

Business ownerEcommerce ManagerMarketing ManagerHead of DigitalAgencies
The question it answers

“Who will do the work Arnie recommends?”

Early access · join by 31 December 2026

See the request button and the MCP server working.

Book a live demo and we will walk you through both on your own data.