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Evidence-led AI, data, and automation

Get to the real problem before you buy, automate, or scale AI.

I'm Allison Marx. I help marketing leaders diagnose what's holding a workflow back, check whether the numbers behind it can be trusted, decide what deserves attention first, and design or build systems their teams can understand, run, and improve.

Most of my clients lead marketing at growing companies of roughly 20 to 200 people: big enough to have real systems, small enough that nobody’s full-time job is AI. Some of them run a marketing team; some of them are the marketing team. I also work with the marketing ops and analytics people who own the data underneath.

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Allison Marx reviewing notes on a clipboard
Allison, working session

What you can put to work.

Here's what finding the blocker looks like: an observed constraint, the evidence behind it, and the first practical step, not a generic maturity score. Every engagement ends with something you can hold up and check. This is one page from a findings brief, the deliverable of an AI Foundation Diagnostic.

See the full sample brief
Findings brief · Page 4 of 11Illustrative sample. Not a client document.

Primary blocker

Campaign performance lives in three exports with no shared customer key. Every AI summary starts by reconciling them by hand.

Evidence reviewed

  • Weekly reporting deck, last 6 issues
  • Export schemas from 3 platforms
  • 4 interviews, 45 minutes each
  • Pilot prompt library and outputs

First 90 days

  1. Weeks 1–3: agree one customer identifier with sales
  2. Weeks 4–8: one joined weekly table, about two hours a week for the head of marketing
  3. Weeks 9–12: rerun the summary pilot on that table; show the CEO the before and after

Start with the situation you recognize.

Six situations I hear most often. Each has a bounded first step, and you don't need to buy a sequence to get useful work.

We have AI pilots or tools, but nobody agrees what’s blocking progress.AI Foundation Diagnostic →We know which recurring workflow hurts, but not whether AI, automation, simplifying, or a human-led process is the answer.Workflow Design Sprint →We have an approved design and need a controlled, documented build.Automation Build →Our team is already using AI and needs shared rules plus one practical pilot.AI Playbook Workshop →We need to know how AI answers describe our brand, without buying a visibility score.AI Search Visibility Assessment →A vendor proposal or new AI feature needs an independent second read.Ongoing AI Advisory →

Start small

Selected services.

Compare all six services
Find the first fixAI Foundation Diagnostic

Five-area findings brief, a named primary blocker, and a 90-day plan of real actions sized to your team. Four interviews, up to ten evidence items.

3 weeksFixed fee
Before you automateWorkflow Design Sprint

One workflow mapped as it happens today and as it should work, plus a build specification someone can implement.

2 weeksFixed fee
ImplementationAutomation Build

An approved design turned into a working automation with access rules, human review, testing, documentation, and training.

4–6 weeksFixed fee
Team practiceAI Playbook Workshop

A three-hour remote session for up to ten people, written decisions, and one pilot with a named owner.

2 weeksFixed fee

Every fee is fixed and agreed in writing before work starts. Nobody has to buy a sequence of services to speak with me; start with the smallest engagement that resolves your decision.
Not sure where to start? Take the free five-question Snapshot or book a 90-minute Working Session.

Featured build · Working system

Content Resonance Engine

The Content Resonance Engine turns separate checks into a structured review, while a person keeps the final editorial decision. Brand voice, source support, and publication checks, consolidated into one review a marketer can act on.

Inspect the review workflow
A Content Resonance Engine review, showing a draft beside its consolidated scoring

Allison Marx, Technical Humanist

I work on the parts people need to trust.

I bring fifteen years of digital analytics, measurement, and hands-on implementation to AI decisions, with close attention to the people who have to use the result.

More about how I work
Allison Marx

Field Notes.

All notes
Field note · AI readinessYou’re Not AI-Ready. One Workflow Might Be.Before you buy an AI tool, get clear on the workflow, the data, the owner, the risks, and the evidence that it improves the work.Field note · AI searchThere’s No Such Thing as an AI Visibility ScoreA composite score tells you something is wrong while concealing which thing. Build a dated baseline across named platforms instead.

Bring the workflow or decision you're trying to move forward.

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