AI marketing consulting
AI marketing consultant who builds the tools
I am an AI marketing consultant who builds the system instead of describing it. Thirty-plus tools are built and running inside a $2B real-estate investment firm's marketing operation — a WhatsApp lead responder, an ad-waste agent, a marketing hub, a task manager — and they have saved 1,745 hours of work. Most builds go live in under two weeks.
What an AI marketing consultant should hand you
Most AI consulting ends at a deck: a maturity assessment, a roadmap, a shortlist of vendors to evaluate. That is advice about the work rather than the work.
What I hand over is the tool itself — live, running inside your systems, trained on your data, your playbooks and your rules. One person takes it from the first conversation to the handover, so nothing is lost relaying the build between a strategist, a project manager and someone who has never met you.
Most builds are live in under two weeks, and they are made to be operated by the marketing team that owns them: fully customized, easy to run, low maintenance, and built to return more than they cost. You don't leave with a report. You leave with the fix.
What I build for marketing teams
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AI Auto-Responder
A WhatsApp assistant trained on the business. It answers every lead's questions 24/7, including nights and weekends, qualifies them, and hands off to a human at the right moment. Every word stays inside compliance guardrails and every conversation is logged to the CRM.
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Ad Waste Hunter
Reads your Google Ads search terms every 48 hours and flags the clicks that will never buy — renters, job hunters, DIYers — then blocks them once you approve. Wasted spend stops before it compounds.
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360 Marketing Tool
One hub, one login, the whole funnel: ad copy, landing pages, email, social, keyword research, dashboards and a compliance vault. Every tool inside it is trained on the same brand, playbooks and rules.
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High-Converting Forms
Hand-built HTML forms and sticky calls-to-action. On my own landing pages, rebuilding the forms and CTAs took conversion from about 3% to about 9%.
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Minutes, Handled
Meetings end and the tasks already exist. Notes are read automatically, action items are extracted with an owner, deadline and priority, and routed to the task board for one-click approval.
Proof, not promises
Fifteen years of running marketing came with numbers attached: leads up 500% year over year, targets hit at 272%, and cost per lead down 20% while revenue was up 30%. I built the teams, owned eight-figure budgets, and answered for the results.
- 30+Tools built
- 1,745Hours of work saved
- $30MPipeline generated
On my own landing pages, rebuilding the forms and calls-to-action took conversion from about 3% to about 9%. The ad-waste agent runs on a 48-hour cadence, so a search term that will never buy is caught within two days rather than at the end of a quarter.
Today a team of four runs marketing for a $2B real-estate investment firm and operates like a department several times its size. That is what the tools are for.
How an engagement runs
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We talk — about a day
What the business does, where the money is leaking, and what your marketing team spends its week on.
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I find the biggest opportunities — one day
Which process is quietly costing the most, and what is worth building first.
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Your solution goes live, running on its own — under two weeks
Fully customized, easy to operate, low maintenance, and built to return more than it costs.
One person, start to finish. You don't leave with a report. You leave with the fix.
What it takes to start
A short list, and it is honest about what makes a build work:
- A marketing function with a real budget and real leads coming in — a tool needs volume to act on.
- Access to your data, playbooks and CRM. Custom means trained on your material; without it you get generic software.
- One owner on your side who can answer questions during the build and make the call at handover.
- An appetite to run the tool afterwards. These are low maintenance, not no maintenance.
What does an AI marketing consultant actually do?
An AI marketing consultant works out where a marketing function is losing time or money to a repeatable process, then puts a system in place that handles it. In my case the second half is a build rather than a recommendation. The work runs in three stages: we talk for about a day about what the business does and where the money is leaking; I spend a day finding the biggest opportunities; then the solution goes live and runs on its own, usually in under two weeks. What comes out is a working tool inside your systems — a lead responder that answers at 11pm, an agent that reads Google Ads search terms every 48 hours, a hub that holds ad copy, landing pages, email, social, keyword research and dashboards behind one login. Thirty-plus of them are built and running. You don't leave with a report. You leave with the fix.
How is this different from a marketing agency?
An agency sells you people and hours; this sells you a system you keep. The difference shows up in three places. First, the deliverable: an agency hands back campaigns and reports, while I hand over a tool that is live in your systems, trained on your data and playbooks, and still running after the engagement ends. Second, the staffing: no account manager, no strategist and no separate build team relaying work between them — one person takes it from the first conversation to handover. Third, the maintenance: the tools are built to be operated by your own marketing team, low maintenance by design, and built to return more than they cost. There is an overlap worth naming, though. I have run marketing functions for fifteen years, so the leadership work itself is on the table too, as a fractional or interim marketing leader.
How long does it take to see results?
Most builds are live in under two weeks, and the clock starts at the first conversation. The shape is fixed: about a day to talk, a day for me to find the biggest opportunities, then the build until the tool is running on its own. What happens next depends on which problem you picked. An ad-waste agent shows a result inside its first cycle, because it reads search terms every 48 hours and blocks the clicks that will never buy, so wasted spend stops before it compounds. A lead responder shows up in the first night and weekend it covers, when questions get answered that would otherwise have waited until Monday. A forms rebuild is visible as soon as traffic arrives; on my own landing pages that move took conversion from about 3% to about 9%. Longer-arc numbers like pipeline and cost per lead are judged over quarters.
Do you work with regulated industries?
Yes, and that is where most of the build experience sits: financial services and real estate, where every word is a compliance surface. The WhatsApp responder is the clearest example. It keeps every word inside compliance guardrails, logs every conversation to the CRM, runs on a hard-coded privacy notice and a runaway-conversation cap written into the code, and hands off to a human at the right moment. Before it ever spoke to a real lead it was stress-tested against attempts to bait it into giving personalized advice. That discipline came from running marketing for a $2B real-estate investment firm, where an approval process exists for a reason. The same approach applies outside regulated work — guardrails in code, a human in the loop, a log of everything said. It is simply less negotiable when a regulator can ask.
What does it cost?
Every engagement is scoped and priced before any work starts, so you know the number before you commit to it. There is no public price list, because the price follows what is being built and what it is expected to return — an ad-waste agent and a full marketing hub are not the same piece of work. The first conversation is free and takes about a day of back-and-forth at most: what the business does, where the money is leaking, and whether there is a tool worth building. If there isn't one, that gets said on the call rather than after a proposal. Every build is meant to return more than it costs, which is the only test that matters once it is running. Across the work so far: thirty-plus tools built, 1,745 hours of work saved, $30M in pipeline generated. If a build won't clear that bar, it isn't worth scoping.
Next step
See if we're a fit →One conversation, no charge — what the business does, where the money is leaking, and whether there is a tool worth building. Related: custom AI tools and agents, fractional and interim leadership, and more about Roberto Ercole. Or Get The Marketing Builder →, a monthly letter on the systems a $2B firm actually runs.