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Our Methodology

The 6-Step Framework

80% of AI projects fail. Not because the technology doesn't work—because businesses solve the wrong problems. We start with diagnosis, not technology.

The Typical Approach

See a demo. Get excited. Plug it into operations. Hope it works. Three months later, the tool is collecting dust.

  • No diagnosis of the actual problem
  • Technology chosen before outcomes are defined
  • No ROI measurement or success criteria
  • Blame the technology when it doesn't deliver

The Axiomate Approach

Find the expensive problem first. Quantify what it costs. Prescribe the solution. Prove ROI before touching any technology.

  • Start with diagnosis, not demos
  • Attach dollar figures to every recommendation
  • Prioritize by impact, not by hype
  • Prove ROI before any implementation begins

Six Steps to Real ROI

Every step eliminates guesswork and proves value before you spend a dollar on implementation.

01

Define Clear Outcomes

"We need AI" isn't an outcome. It's a vague wish. If you can't measure it, you can't improve it.

We transform vague requests into measurable targets. Every outcome has three components: current state, target state, and dollar value attached.

Current StateTarget StateDollar Value
3-4 hour lead responseUnder 5 minutes$90K/yr in lost leads
20% conversion rate24% conversion rate$161K additional revenue
12 hrs/week on manual tasksUnder 2 hours$62K/yr in labor costs

If you can't fill in this table, you're not ready for AI. That's not a problem—that's what the next five steps are for.

02

Map How the Business Actually Works

The CEO knows the destination, not the road. The people doing the work know every pothole, every detour, every place things break down.

We don't just talk to the executive sponsor. We get on 10+ calls across your organization—department heads, individual contributors, the people in the trenches. We ask: "Walk me through yesterday morning. What did you do first? Then what?"

  • Who does what, and how long each step takes
  • Where handoffs break down between teams
  • What decisions are being made (and by whom)
  • Which tools are actually being used vs. shelfware
Why this matters: A VP told us: "Our reps spend their time selling." When we talked to the reps, they spent 9AM-11AM manually building lead lists—checking LinkedIn, cross-referencing Salesforce, copying data field by field. Two full hours before they even started selling. The VP had no idea.
03

Break Work Into Atomic Tasks

"Follow up with leads" sounds like one task. It's actually seven tasks hiding under one label—and only some are automatable.

We decompose every process until we can't break it down further. For example:

"Follow up with leads" is actually: 1. Open the CRM
2. Filter for leads from last 24 hours
3. Check if they match ICP
4. Read their submission details
5. Draft personalized response
6. Send email
7. Set follow-up reminder

Now we can evaluate each step individually. Steps 1-4 and 6-7 are structured, repetitive, and rule-based. Step 5 requires judgment but can be AI-assisted. The breakdown changes everything.

04

Identify What AI Can Do

Not every task is AI-suitable. We use four questions for every atomic task:

Is the input structured?
Forms, emails, databasesVague verbal requests
Is the output predictable?
Standard responses, classificationsCreative strategy, novel solutions
Are decisions rule-based?
If/then logic, scoring criteriaComplex judgment calls
Is it repeated often enough?
Daily or weeklyOnce a quarter

Yes to all four = prime AI candidate. Rule of thumb: AI handles 80% of routine work, humans handle 20% of edge cases requiring judgment. Knowing what NOT to automate saves just as much money.

05

Prioritize for Impact

By this point, you have 15-20 automation opportunities. You can't build them all at once. You shouldn't.

Impact
Effort
Quick Wins High impact, low effort Do these first
Big Swings High impact, high effort Plan and sequence
Low Priority Low impact, low effort Do if time permits
Money Pits Low impact, high effort Avoid entirely

We build quick wins first. Once you see results, the big projects sell themselves. Money pits get killed before they waste budget.

06

Calculate Real ROI

This is what makes executives cut the check. Dollar amounts on everything. No vague promises.

Time per task × People involved × Days per year × Hourly cost
=
Annual Cost of Inefficiency
Real example from a B2B software company: SDRs spending 2 hours/day building lead lists manually.
8 SDRs × 260 working days × $40/hour loaded cost = $166,400/year wasted on a task that should be automated.

A $60,000 automation pays for itself in 5 months. Saves $100K+ every year after.

What This Framework Delivers

Real numbers from a real implementation using this exact methodology.

MetricBeforeAfterChange
Lead Response Time 3-4 hours 18 seconds 99.8% faster
Conversion Rate 20% 24% +20% increase
ROI 166% First year
Payback Period 9.2 months Under 1 year

$179,850 in Annual Waste.
Identified in Under a Month.

A mid-size property management company ran through our 6-step framework. Here's what we found and what happened next.

$179K
Annual waste found
$81K
Implementation cost
$215K
Annual impact
166%
First-year ROI
9.2mo
Payback period
Calculate Your ROI

Stop Guessing.
Start Diagnosing.

Find out exactly where you're leaving money on the table—and how much our framework can recover.