The Real Cost of Enterprise AI: What Vendors Don't Tell You

The enterprise AI market is projected to reach $50 billion by 2027. What vendors don't advertise is how much of that spending goes to waste — on unnecessary licenses, bloated implementation teams, and systems that never deliver promised value.

We've been on both sides of the table. We've built systems for Fortune 100 companies and seen the invoices. We know exactly where the money goes — and exactly how much of it is unnecessary.

The Hidden Cost Stack

When a vendor quotes you $100,000 for an AI solution, here's what that typically doesn't include:

• —Implementation consultants: $200-400/hour for teams of 5-10 people, often for 6-12 months
• —Data preparation: 60-80% of project time, rarely included in initial quotes
• —Integration work: Connecting to existing systems, often requiring custom development
• —Ongoing licensing: Per-user fees that scale with adoption, not value delivered
• —Vendor lock-in: Proprietary data formats that make switching prohibitively expensive

The total cost of ownership is often 3-5x the initial quote. And that's before you factor in the cost of failure — projects that never deploy, systems that never get adopted, and teams that spend months learning tools they eventually abandon.

The Mid-Market Squeeze

Fortune 500 companies absorb these costs. They have procurement teams, legal departments, and IT organizations designed to manage complex vendor relationships. For mid-market companies, the same costs are devastating.

A $500,000 AI project represents 5-10% of revenue for a mid-market company. When it fails, it's not a line item adjustment — it's a strategic crisis. And because mid-market companies lack the negotiation leverage of enterprise buyers, they often pay premium rates for inferior service.

A Different Approach

We built Solve With AI on a simple principle: enterprise-grade capabilities should be accessible at mid-market prices. Here's how we do it differently:

Transparent pricing: You know exactly what you're paying for before work begins. No surprise line items, no “scope expansion” midway through.

Open foundations: We build on open-source tools and standard data formats. If you want to take the system in-house later, you can. No vendor lock-in, no proprietary black boxes.

Knowledge transfer: We don't just build systems — we teach your team to operate them. Our goal is to make ourselves unnecessary, not indispensable.

Outcome-based engagement: We structure pricing around deliverables and outcomes, not hours spent. If we can solve your problem in two weeks instead of six, you benefit — not us.

The Bottom Line

AI is too important to be gated behind enterprise pricing models designed for Fortune 500 budgets. The technology exists. The expertise exists. The only missing piece is a delivery model that makes sense for the 90% of businesses that aren't Fortune 500.

That's what we're building. Not cheaper AI — fair AI. Accessible AI. AI that works on your terms, not the vendor's.