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// THE BIG PICTURE

How AI Costs Work

Custom AI is not a SaaS subscription with a fixed monthly price. It's a combination of ongoing engineering access and infrastructure that varies by approach. Understanding both parts helps you plan realistically.

ENGINEERING SUBSCRIPTION INFRASTRUCTURE COMPUTE + RUNTIME TOTAL YOUR AI COST

Engineering Subscription

This is your ongoing partnership with our team. Think of it as having a part-time AI engineering team on call.

  • >Access to our engineers for questions, tweaks, and new features
  • >Model improvement and retraining as your data grows
  • >Cloud model usage included in your plan
  • >General maintenance, monitoring, and uptime
What affects it Number of agents, complexity of integrations, level of support needed.

Infrastructure

This is the compute power that runs your AI. You have three paths, each with different tradeoffs.

A Cloud Models
  • Fast to set up, no hardware to buy
  • Pay per use, scales instantly
  • Data travels to external data centers
Best for: getting started quickly, variable workloads
B On-Premise Hardware
  • Your hardware, your building, your rules
  • Data never leaves your facility
  • Higher upfront cost, lower ongoing fees
Best for: highly sensitive data, predictable workloads
// DECISION GUIDE

Which Approach Is Right for You?

Cloud Models

Quick setup, no hardware, pay as you go.

Initial cost Low
Ongoing cost Medium
Data privacy Good
Scalability High
Maintenance We handle
Best for: Getting started fast

On-Premise

Your hardware, your building, total control.

Initial cost High
Ongoing cost Low
Data privacy Best
Scalability Low
Maintenance You handle
Best for: Maximum data control
// COST FACTORS

What Affects Your Total Cost

These are things to think about as you plan. Not things we charge for, just the variables that shape what your setup looks like.

>
Number of AI agents More agents means more infrastructure and maintenance.
>
Complexity of integrations Connecting to 5 systems costs more than connecting to 1.
>
Usage volume Heavy daily use costs more than occasional lookups.
>
Data sensitivity Regulated data may require on-prem or hosted infrastructure.
>
Custom vs. open-source models Custom models need more compute but give better results.
>
Support level Business hours vs. 24/7 vs. dedicated engineer.
// FAQ

Questions We Hear a Lot

How is this different from just buying ChatGPT? +

ChatGPT is a general tool. We build agents specifically for your business, trained on your data, integrated with your systems. It's the difference between buying a power drill and hiring a carpenter.

Do I need to buy expensive hardware? +

Not necessarily. Cloud models require no hardware at all. If you want on-prem, we can help you understand what you'd need. Most of our clients use our hosted infrastructure and never touch a server.

What if we start small and want to grow later? +

That's exactly how it works. Start with one agent on cloud infrastructure. Add more agents, move to hosted or on-prem as your needs grow. The subscription scales with you.

Is AI going to replace our employees? +

No. Our AI agents handle repetitive tasks so your people can focus on the work that actually needs a human. AI enhances employees, never replaces them. That's our core belief.

How do we know if we're getting value? +

We track metrics that matter to you: hours saved, response times, error rates. If the agents aren't saving you time or money, we adjust them. The subscription includes ongoing improvement.

What happens if we want to stop? +

You can cancel anytime. If you're on cloud or hosted, there's no hardware to deal with. If you have on-prem hardware, it's yours to keep. We'll help with a smooth transition.

Talk to an Engineer

Have questions about your specific situation? We'll help you think through the options. No pressure, no sales pitch, just a conversation.

Reach Out Now