How We Use AI To Run A 90-Day Growth Audit

Most progress audits are a efficiency. Somebody reveals up with a slide deck, interviews a number of stakeholders, and delivers a 40-page PDF that lives in a drawer. The group feels busy for 3 weeks, and nothing adjustments. I’ve been on each side of that transaction, and I received bored with it.

At my progress consultancy, we run 90-day progress sprints for venture-backed and personal fairness (PE)-backed firms. The audit is the primary section. It used to take two to a few weeks of guide work simply to get a transparent image of what was taking place inside an organization’s advertising and marketing group. Now, with AI woven into every step, we compress that discovery into days and spend the remaining time truly fixing issues.

Right here’s precisely how we do it.

Why Conventional Development Audits Fail

The basic consulting audit has a structural downside. The individuals conducting it are incentivized to seek out complexity as a result of complexity justifies an even bigger engagement. So the deliverable turns into a laundry record of all the things that might be improved, ranked by nothing specifically, with no connection to what the enterprise truly wants within the subsequent quarter.

I ran advertising and marketing at firms starting from Fortune 200 to early-stage startups earlier than beginning my very own agency. At one firm, a 30-minute assembly with the CEO required two or three pre-meetings simply to shine the deck. The choice was made in minutes. The deck went right into a drawer. All these hours, gone.

That have formed how I take into consideration audits. The output needs to be a working doc that turns into the blueprint for what occurs subsequent. Not a memento.

The AI-Assisted Audit Framework

Our audit covers three areas: the advertising and marketing org itself, the tech stack, and what I name AI readiness. That final one didn’t exist two years in the past. Now it’s arguably an important piece, as a result of it determines how a lot of the roadmap an organization can truly execute with out hiring 5 extra individuals.

Every space follows a selected course of, and AI reveals up otherwise in each.

Part 1: Consumption And Context Constructing

Earlier than we speak to anybody on the shopper’s group, we feed all the things we are able to get our palms on into Claude. Investor decks. Board displays. The corporate’s public advertising and marketing. Competitor inventive. Job postings from the final six months. Glassdoor critiques. Product screenshots. Pricing pages.

Two years in the past, synthesizing all of that required a senior strategist spending a full week studying, annotating, and constructing a briefing doc. Now, we construct a complete context bundle in a day. Claude processes the uncooked materials and produces a structured transient that features the corporate’s positioning gaps, messaging inconsistencies throughout channels, aggressive white house, and the questions we ought to be asking in stakeholder interviews.

The output isn’t a abstract. It’s a diagnostic framework tailor-made to that particular firm. We overview it, problem it, add our personal operator instincts, and stroll into discovery calls with a viewpoint as an alternative of a clean notepad. That adjustments the dialog instantly. Shoppers discover if you’ve executed the homework.

Part 2: Tech Stack And Workflow Mapping

That is the place issues get particular. We pull a full stock of all the instruments the advertising and marketing group makes use of. Buyer relationship administration (CRM). Electronic mail platform. Analytics. Attribution. Advert platforms. Content material administration. Design instruments. Venture administration. The typical mid-stage startup has between 15 and 30 marketing tools, and in virtually each audit, at the very least a 3rd of them overlap or go principally unused.

We doc each workflow: how a marketing campaign goes from concept to dwell, how leads get routed, how reporting occurs, who touches what, and when. Then we map every workflow in opposition to what’s now potential with AI-native alternate options.

An actual instance: One shopper had three individuals spending a mixed 40 hours per week on inventive manufacturing for paid social. Briefing a designer. Ready for rounds of revisions. Resizing for various placements. Exporting. Importing. We changed that workflow with a mix of AI inventive instruments and a customized automation that dealt with asset era, versioning, and platform-specific formatting. The identical quantity of inventive now takes roughly eight hours of human time per week, and most of that’s strategic overview somewhat than manufacturing.

Instruments like HeyGen and ElevenLabs deal with video and audio manufacturing that used to require a studio. Customized AI brokers constructed on open-source AI harnesses like OpenClaw and Hermes automate analysis, aggressive monitoring, and content material drafts. The purpose isn’t to name-drop software program. It’s that the panorama of what could be automated has expanded dramatically within the final 18 months, and most advertising and marketing groups haven’t caught up.

Part 3: AI Readiness Evaluation

This section is the one which surprises purchasers essentially the most, as a result of it’s much less about expertise and extra about individuals.

We consider three issues. First, does the group have the curiosity and willingness to undertake AI instruments? Some groups are keen. Some are terrified. Understanding the place individuals stand earlier than you begin pushing new workflows prevents the kind of resistance that kills transformation projects. I spoke about AI readiness to a bunch of senior entrepreneurs at a hyper-growth client app, and the primary query requested was: “Isn’t the magic in our human work and interactions?” They have been afraid.

Second, does the corporate’s knowledge infrastructure truly help AI-driven optimization? In case your CRM is a multitude, your attribution is broken, and your analytics are constructed on vainness metrics, no AI device goes to avoid wasting you. Rubbish in, rubbish out nonetheless applies. We flag the information hygiene points that should be mounted earlier than any AI implementation will produce dependable outcomes. And the audit acknowledges the information gaps and the way (and why) to repair them.

Third, the place are the highest-leverage automation alternatives? Not all the things ought to be automated. Artistic technique nonetheless requires human judgment. Model selections nonetheless want a human with style and context. The audit identifies which workflows will profit most from AI and which of them want a human firmly within the loop. AI readiness will not be about changing all people with AI instruments and brokers.

What The Deliverable Truly Seems Like

We don’t hand over a deck. We produce a shared doc with 4 sections: present state analysis, prioritized alternative map, 90-day implementation roadmap, and a tool-by-tool suggestion record with estimated time and value financial savings.

The roadmap breaks the 90 days into three phases. The primary month focuses on fast wins, the workflows the place AI could be plugged in with minimal disruption and speedy impression. Month two tackles the structural adjustments, issues like rebuilding attribution fashions or redesigning the content material manufacturing pipeline. Month three is about coaching and handoffs, guaranteeing the group can run the brand new programs independently.

The doc is collaborative. Shoppers can remark, push again, and reprioritize. It turns into the working blueprint for the engagement, not a PDF that will get emailed and forgotten.

The place The Actual Financial savings Present Up

The financial savings are not often the place individuals anticipate them. Most founders assume AI will lower their advert spend or scale back their company charges. Generally it does. However the larger wins are typically in time recaptured.

A advertising and marketing group that was spending 60% of its week on manufacturing and reporting and 40% on technique will get these numbers flipped. People concentrate on the work that really requires style, judgment, and relationship-building. The AI handles the repetitive execution that was consuming their calendars.

One engagement lowered a shopper’s inventive manufacturing cycle from three weeks to 4 days. One other automated their weekly reporting entirely, liberating up a senior analyst to concentrate on precise evaluation as an alternative of pulling numbers into slides. A 3rd rebuilt their electronic mail lifecycle from scratch utilizing AI-generated segmentation and content material, which lower their value per acquisition by 30% within the first 60 days.

None of these outcomes required firing anybody. They required shifting individuals from low-leverage duties to high-leverage duties. That’s the a part of the AI dialog that gets lost in the layoff headlines.

What I’d Inform Any Advertising and marketing Chief Studying This

You don’t want to rent a agency to begin. Decide one workflow on your team that is repetitive, time-consuming, and doesn’t require deep inventive judgment. Map it out step-by-step. Then ask whether or not an AI device may deal with any of these steps in the present day.

Start by tackling reporting. Subsequent, concentrate on aggressive analysis. Take into account first-draft content material manufacturing as an early win. Lastly, provoke the method wherever the ache is loudest and the chance is lowest. Get a win. Present the group what’s potential. Then develop.

The businesses that can wrestle are those ready for somebody handy them a playbook. The businesses that can win are those operating their very own experiments proper now, even clumsy ones, and studying what works inside their particular context.

The audit is only a structured strategy to do what each advertising and marketing group ought to already be doing: wanting truthfully at how time will get spent and asking whether or not there’s a greater manner. AI simply made “higher” much more accessible than it was 18 months in the past.

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