Find What Your AI Stack Is Actually Wasting
A direct review of every AI tool and automation you have running today: what is redundant, what is misconfigured, what is quietly burning token spend for no measurable benefit. A written findings list, not a sales pitch for what to buy next.
See sample deliverables →The audit reviews every AI tool and automation your team currently has running: which ones overlap in function, which are misconfigured, and where token or subscription spend is scaling without a matching increase in usage or value. You receive a written, prioritized findings report, not a sales pitch. Acting on the findings can be self-managed or handled by MV3 as a follow-on engagement.
What most teams find once someone actually looks.
Teams that adopted AI tools quickly often accumulate real, avoidable waste without anyone noticing.
Scoped and quoted before the audit starts
Prioritized by real cost or risk impact
Scoped to exactly what the audit needs
Findings are yours to act on independently
What the audit finds depends entirely on what you currently have running; results are specific to your stack, not a generic checklist.
What ships when you engage the audit.
Fixed scope. One flat fee, no surprise add-ons partway through.
One flat fee. No hourly billing, no scope creep partway through the engagement.
A written report, not a sales pitch.
Six concrete deliverables ship on every efficiency audit.
A real accounting of every AI tool and automated workflow currently running, not just what you remember offhand.
Where two or more tools are doing the same job, and what it would take to consolidate.
Whether AI workflow spend is scaling reasonably with usage, or quietly bleeding budget.
Settings, permissions, and integrations set up in a way that wastes time or money.
A written list ranked by real cost or risk impact, not a generic checklist.
A call to go through the report line by line and answer questions before you act on it.
We audit the stack. Then we hand you the findings.
This is a fixed-scope diagnostic, not an open-ended engagement. You get a written report either way.
What is actually running, and what it is actually costing.
Before writing a single finding, we build a complete inventory of every AI tool, subscription, and automation your team has running, including the ones nobody remembers signing up for.
- 1Tool and subscription inventory across every team using AI.
- 2Automation inventory: what triggers, what it does, how often.
- 3Token and spend data pulled from billing dashboards.
- 4Redundancy and overlap mapped across the full inventory.
- 5Delivered as a structured findings draft before the final report.
Our team writes, prioritizes, and delivers the findings report.
Once the inventory is complete, we rank every finding by real cost or risk impact and deliver a written report you can act on with or without MV3.
- 1Findings ranked by dollar impact or operational risk.
- 2Misconfigurations flagged with a specific fix recommendation.
- 3Redundant tools flagged with a consolidation recommendation.
- 4Written report delivered, not a slide deck summary.
- 5Live walkthrough call to answer questions on the findings.
Bundling multiple services? Request a custom proposal →
Three guarantees on every efficiency audit.
If we miss any of them, we make it right at no additional charge.
We request access to exactly what the audit needs to review, nothing more, and nothing is ever changed in your live systems during the audit.
The findings report is yours regardless of whether you act on it with MV3, self-manage it, or hand it to another vendor.
Every finding is tied to a specific, named cost or risk. We do not pad the report with generic recommendations to justify a follow-on sale.
What a real efficiency audit finding looks like.
A sanitized view of the kind of findings report your team receives.
Sample findings excerpt
Every finding names the specific tool, the specific cost or risk, and a specific recommendation, not a vague suggestion to review your stack.
- Two tools independently automating the same lead-routing task
- Automation trigger firing far more often than the underlying data changes
- Token spend on one workflow scaling faster than its actual usage
- Integration granted broader access than the workflow actually uses
- Subscription still active for a tool no longer in use by any team
How we run every efficiency audit.
Five stages. Same protocol every engagement.
Read-only access requested to exactly what the audit needs to review.
Full accounting of every AI tool, subscription, and automation currently running.
Redundancy, misconfiguration, and spend patterns identified against the inventory.
Every finding ranked by real dollar cost or operational risk.
Written report handed off, followed by a live walkthrough call.
What teams find once someone actually looks at the stack.
Illustrative composites built from real engagement patterns, not verified individual clients. Used to make the working style concrete, not to claim a specific outcome for a specific company.
We had three tools doing the same lead-scoring job because nobody had checked in over a year. The audit paid for itself in the first consolidation alone.
Our token spend on one workflow had crept up 4x with no matching increase in usage. We never would have caught it without someone actually reviewing the billing.
The report named specific tools and specific dollar amounts. No vague "optimize your stack" language, just a list we could act on the same week.
Illustrative composite personas. Not verified statements from a named, specific client.
One flat audit fee. No hourly billing, no scope creep, no upsell built into the findings.
- Full inventory of every AI tool and automation currently running
- Redundancy and overlap identified across the stack
- Token and subscription spend reviewed against actual usage
- Misconfigurations flagged with specific fix recommendations
- Written, prioritized findings report
- Live walkthrough call to review the findings together
Fixed-scope engagement. Written findings report delivered within 2 weeks of access being granted.
This is not for you if…
We hold a fit bar on this service. If any of the below is true, we'll say so on the call.
- You want us to tell you what to buy, not what to cut. This audit is scoped to find waste and misconfiguration in what you already have, not to recommend new purchases.
- You are not willing to grant read-only access to your tools and billing dashboards. Without access, we cannot produce findings specific to your actual stack.
- You have one or two AI tools total. Below a certain stack size, the audit fee outweighs the likely findings; we will tell you that honestly on the call.
- You want an open-ended consulting engagement, not a fixed report. This is a scoped deliverable with a defined end point, not an ongoing advisory relationship.
- You need the findings acted on immediately as part of the same engagement. Implementation is a separate, follow-on scope; the audit itself is diagnostic only.
If you’re a fit, keep scrolling. Or book the call now →
Questions buyers ask us.
Oversees MV3’s marketing operations audits. Every findings report is reviewed by Vance before it reaches a client.
AI Marketing & SEO Automation, All States
