Your GenAI Investment: Where the Money Goes and How to Protect It
Before you allocate budget, you need a clear picture of what enterprise GenAI actually costs in 2026. This infographic breaks down every major cost driver — so you can plan confidently, avoid the most common budget traps, and make the right build-or-partner decision from day one.
What’s inside:
- 4 approaches with real 2026 cost ranges — from API to Agentic AI
- RAG vs fine-tuning: when each saves money and when to combine
- 6 most common mistakes that blow GenAI budgets
- Side-by-side: building with a partner vs. in-house team
- ROI calculation framework with measurable business metrics.
Download your free copy of GenAI Cost Guide 2026.
GenAI Investment: Key Benchmarks
-
0of AI projects build without expert guidance exceed their original budgetIndustry average · 2026
-
0cost savings with an expert partner vs. building in-houseInData Labs project data
-
0to first working prototype with the right approachPoC / RAG · API-based
-
0minimum realistic starting point for a production GenAI project2026 market benchmark
Your GenAI Cost Roadmap
-
Section 01
4 approaches & what each costs
From a simple API integration to a full agentic platform — real price ranges, timelines, and when each approach makes sense.
-
Section 02
6 mistakes that blow your budget
PoC code shipped to production, scope creep, skipping MLOps — the patterns that show up on nearly every in-house GenAI project.
-
Section 03
ROI framework & partner vs. in-house math
A clear formula for measuring GenAI ROI, plus a side-by-side cost comparison of building with a specialist vs. hiring in-house.
