Stop Guessing. Start Knowing.
Two weeks. You get a roadmap showing exactly which AI projects will make money and which ones are BS. What to build. What it costs. Whether it is worth it. Before you write a check.
Most AI Projects Burn Money
The usual story
Company gets excited about AI. Hires a vendor. Six months later they have a cool demo that does not work with their actual data. $50K gone. Team demoralized.
- • Data was never ready
- • Built the wrong thing first
- • No way to measure success
- • Cool tech, zero business value
The audit fixes this
You spend $2,500-5K to know exactly what will work before spending $15-50K building it. The math is obvious.
- • Data problems caught early
- • Highest ROI opportunities first
- • Real numbers, three scenarios
- • Clear "do not build this" list
What You Get
Process Maps
Your workflows documented. Bottlenecks identified. Time and cost at each step. Visual diagrams you keep no matter what.
Data Reality Check
The #1 killer of AI projects. We check if your data is actually ready. Sources, formats, quality, gaps. No surprises later.
Priority Matrix
Every opportunity scored. Impact, feasibility, data readiness, speed to value. You know exactly what to build first.
ROI Numbers
Three scenarios: conservative, realistic, optimistic. Payback periods. Real numbers you can show your accountant.
Build Plan
Phases, timelines, dependencies, costs. Detailed enough to build with us, another vendor, or your own team.
Decision Doc
One page. Key findings. Recommendations. Next steps. Ready for whoever writes the checks.
How It Works
Discovery & Documentation
- 60-minute discovery call with decision makers
- 30-minute interviews with 2-3 people who do the work
- Review of existing documentation and systems
- Data source identification and access setup
Analysis & Delivery
- Process mapping and bottleneck analysis
- Data readiness assessment
- ROI modeling and scenario analysis
- 60-minute delivery call to walk through findings
Pricing
Standard Audit
- 3-5 processes analyzed
- Full discovery + stakeholder interviews
- Comprehensive ROI analysis
- Detailed implementation roadmap
- 2-week delivery
Focused Audit
- 1 core process analyzed
- Discovery + 1 delivery call
- Basic ROI analysis
- Implementation recommendations
- 2-week delivery
Frequently Asked Questions
We already know what we want. Why audit?
Because your data probably is not ready. 70% of AI projects fail on data problems. The audit catches that before you burn $50K on something your systems cannot support.
Is this just a sales pitch?
No. You get a comprehensive deliverable whether you hire us or not. The roadmap is detailed enough to build with anyone. We do not hide the good stuff to upsell you.
What if AI is not right for us?
We will tell you. Happens about 30% of the time. Better to know now than after you have wasted $15-50K on implementation. The audit pays for itself either way.
What do I need to prepare?
Access to people who actually do the work. Not managers who think they know how things work. Plus any docs about your processes and access to your key systems.
What if we want help building?
70% of audit clients do. But you are not locked in. The specs are detailed enough to build with us, another vendor, or your own team. Your choice.
Find Out If AI Makes Sense
30 minutes. No pitch. We will tell you honestly if you should spend money on this.
Book the Call