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Working with us

What the first 30 days look like.

No mystery and no surprises. Here is how we scope the work, what happens each week, and what you walk away with on day 30.

Book an intro call →

Before we start

Four steps to a clear scope.

You always know what you are buying, what it costs and what you need to do before we begin. Nothing starts until the scope is in writing.

1

Intro call

A short conversation about your goals, your tools and where things hurt today. We tell you honestly whether we are a fit.

About 30 minutes

2

Scoping conversation

We learn how your business runs. With your permission we record and transcribe the call, so you only have to tell us once.

With your team leads

3

Written scope and price

You get a plain English scope: what we examine, what you provide, the timeline and one flat fee. No hourly billing and no open ended meters.

Fixed fee

4

Agreement and access

We sign a services agreement and a statement of work. Any access we need to your systems is limited to the minimum and written down.

Your data stays yours

Pick your starting point

Three audits, one clear path.

Every engagement starts with an audit. Pick the one that matches where you are today, and we will confirm it on the intro call.

Starter Audit

For startups and growing companies

A focused look at where AI fits and where you are losing time or money today. Best for startups and companies under about $20 million in revenue.

  • Findings report about 2 to 3 weeks after we receive your data
  • A ranked fix list and a leadership readout

Profit Leak Audit

For established companies

A deeper review across teams, systems and data. Best for companies at about $20 million in revenue and up.

  • Findings report about 4 to 6 weeks after we receive your data
  • Every leak sized in yearly dollars, with the math shown

AI Security Audit

For teams already using AI

A clear picture of every AI tool in use and where your company data goes. Best when people use AI at work and nobody can say where data ends up.

  • An inventory of tools, accounts and data flows
  • The gaps that matter first, ranked by risk and effort
  • A plain English report your leadership can act on

Your first 30 days

Week by week.

A typical Starter Audit looks like this. Larger audits follow the same path and take a little longer.

Week 1

Kickoff and data

We confirm goals, contacts and the data request. You send the data within about 5 business days.

You. Name a main contact and share the data we ask for.

Week 2

Interviews and review

We talk with your people, about 30 to 60 minutes each, and review your data, systems and workflows.

You. Make time for the interviews. Most people need one.

Week 3

Analysis and sizing

We size each opportunity in estimated yearly dollars and rank the fixes by impact and effort.

You. Answer a few follow up questions.

Week 4

Readout

We walk your leadership through the findings in a meeting of up to 90 minutes and hand over the full report.

You. Bring your decision makers.

What you hold on day 30

Findings report. Every opportunity, its estimated yearly dollar impact, the total and how we calculated it.

Ranked fix list. What to do first, ordered by impact, effort and timeline.

Leadership readout. A live walkthrough so your team can ask questions.

Project proposal. Our quote to carry out the fixes, if you want our help.

What we look at

What we examine and what you share.

We ask only for what the audit needs. Here is what that looks like for the companies we serve most.

Your businessWhat we examineWhat you share
Equipment makers and dealersDealer inventory turns, parts availability, warranty and service data.Dealer inventory, parts orders, warranty claims and service records for one pilot region.
Green industry operatorsAI features you already pay for, purchasing, estimated versus actual job cost, crew and route scheduling, renewals.Your software list, purchase order history, job cost reports, route and timesheet data, cancellations.
Product manufacturersForecast accuracy, seasonal allocation by region, retailer sell through, dead stock.SKU sales and shipments by region, retailer sell through and returns.
Startups and tech companiesWhere AI fits the product, data readiness, support load and engineering bottlenecks.Product analytics, support tickets, your roadmap and an architecture walkthrough.

What to expect

How we work with you.

We hold ourselves to a few simple rules, and we put them in writing.

You see the price first

One flat fee, agreed before work begins. The audit fee does not depend on whether you agree with the findings, and our dollar figures are honest estimates, not guarantees.

Your data stays yours

We work in your accounts, with named access limited to what the job needs. Your company data is not stored on our servers.

No pressure to continue

The audit stands on its own. Keep the report and act on it yourself, or ask us to help. Any project is a separate agreement with its own scope.

After day 30

Where it goes from here.

Most clients turn the ranked fix list into projects. Here are your options.

A

Act on it yourself

Keep the report and run with it. You paid for facts and a plan, and they are yours.

B

Let us build it

We turn the fixes into projects, from shared setups to AI workflows. We set the price from what the audit found, and we train your team to own the result.

C

Keep us close

After a project, we can stay on for ongoing support so your AI keeps getting better as the tools change.

Start with the problem you already know you have.

A short call is enough to see whether an audit makes sense for your company.