Transparent Pricing for Measurable Operational Impact
Every AI implementation is different. Our pricing is structured around operational complexity, integration depth, and measurable ROI. We focus on delivering systems that pay for themselves through labor savings, margin improvement, and operational leverage.
AI Should Pay for Itself. Many Times Over.
The math only looks weak when you count one thing. Real AI implementations touch every revenue-affecting workflow in your business simultaneously: lead response speed, staffing overhead, proposal cycles, error rates, and client retention. Here is what the numbers actually look like across the factors that move the needle.
LABOR OVERHEAD
Eliminating Administrative Drag
Growing service companies lose 25-40% of staff capacity to tasks AI handles instantly: inbox triage, scheduling, reporting, CRM updates, and follow-up sequences. At a $75,000 average employee cost, recovering just 30% of one person’s time across 3-5 staff returns $67,500-$112,500 per year.
$67,500 – $112,500
Annual labor savings across 3-5 staff
REVENUE LEAKAGE
Recovering Deals You Are Losing Right Now
Studies show 78% of customers buy from the first company that responds. Slow follow-up costs the average $3M service business 12-18% of annual revenue in lost deals. AI-powered lead response, nurture sequences, and proposal automation recapture that pipeline before competitors do.
$36,000 – $540,000
Revenue recovered depending on deal volume and size
CAPACITY EXPANSION
Scale Revenue Without Scaling Headcount
Most businesses hire when they grow, at $75,000+ per hire including benefits and ramp time. AI lets your existing team handle 40-60% more volume without additional headcount. A company growing 20% with AI instead of hiring avoids $150,000+ in new employment costs per growth cycle.
$150,000 – $400,000
Avoided hiring cost as revenue scales 20-50%
ERROR REDUCTION
Eliminating Costly Mistakes and Rework
Manual data entry, missed handoffs, and miscommunication create rework cycles that cost service businesses an average of 10-15% of project budgets. AI workflows enforce consistent execution: data moves cleanly between systems, tasks trigger automatically, and nothing falls through the cracks. For a $3M business, that is $300,000-$450,000 in protected margin annually.
$300,000+ protected
Annual margin recovery from reduced rework and errors
CLIENT RETENTION
Keeping Clients Longer With Better Service
Acquiring a new client costs 5-7x more than retaining one. AI-powered client communication, proactive updates, faster response times, and personalized follow-ups measurably increase retention rates. A 5% improvement in retention for a $3M service business generates an additional $150,000-$250,000 in annual recurring revenue without spending a dollar on acquisition.
$150,000 – $250,000
Added ARR from a 5% retention improvement
COMBINED ANNUAL IMPACT
$703,000 – $1,402,500
Across a typical $3M-$5M service company implementing a full AI system
Our implementations range from $12,000 to $40,000+ depending on scope. That puts your return on investment between 17x and 116x in year one alone, not counting the compounding gains as your team scales with the system. The only real question is how much revenue you are leaving on the table right now.



