What an AI Implementation Actually Costs
Pricing is the elephant in the room with AI. Every article talks about the transformative potential, but few give you straight numbers. Business owners are left guessing whether AI is a $500 experiment or a $500,000 commitment. The answer, predictably, is that it depends. But we can be more helpful than that.
At Tepia, we have implemented AI solutions across a range of businesses and budgets. Here is an honest breakdown of what things actually cost in 2026.
The Three Tiers
Tier 1: Workflow automation ($5,000 to $15,000). This covers focused automation of a single process. Examples include AI document extraction for a specific form type, automated email drafting and categorization, or intelligent data routing between your existing tools. You are solving one specific problem with one AI powered solution. Timeline is typically 2 to 4 weeks.
Tier 2: Integrated AI features ($15,000 to $50,000). This is where AI becomes part of a larger custom application. A client portal with AI powered search and recommendations. A field service app that uses AI to optimize scheduling. A CRM integration that uses AI to score leads and draft personalized outreach. You are building something more substantial, and the AI is one component of a broader system. Timeline is typically 6 to 12 weeks.
Tier 3: AI architecture and strategy ($50,000+). For companies that want AI embedded across multiple business functions. This involves designing an architecture that connects AI to your CRM, help desk, communication tools, and operational systems. It includes custom model training or fine tuning, advanced analytics, and ongoing optimization. Timeline varies based on scope but typically 3 to 6 months for the initial build.
The Ongoing Costs
Building the AI solution is one cost. Running it is another. Here is what to budget for:
AI model usage fees. Most modern AI implementations use cloud based models (like those from OpenAI or Anthropic) that charge per request. For a typical small business use case, this runs $50 to $500 per month depending on volume. High volume document processing or customer interaction systems might run $500 to $2,000 per month.
Hosting and infrastructure. The application itself needs somewhere to run. For most of our clients, this costs $20 to $200 per month depending on scale and complexity.
Maintenance and updates. AI models improve, APIs change, and your business evolves. Budget for ongoing support, which typically runs 10% to 20% of the initial build cost per year.
Calculating Your ROI
The question is not "can we afford AI?" The question is "can we afford not to?" Here is how to think about it:
Identify the process you want to automate. Calculate how many hours per week your team spends on it. Multiply by your average hourly labor cost (including benefits and overhead). That gives you your monthly cost of doing it manually.
For most of our clients, a Tier 1 implementation that saves 15 to 20 hours per week pays for itself in 2 to 4 months. Tier 2 implementations with broader impact typically break even in 6 to 12 months.
Getting Started Without a Huge Commitment
If you are not ready for a full implementation, we offer AI strategy sessions where we audit your workflows, identify the highest ROI opportunities, and give you a clear roadmap with cost estimates. This is a small investment that gives you the information you need to make a confident decision.
No matter where you are in the process, we are happy to have an honest conversation about what makes sense for your business.