
Understand what drives AI project costs, benchmarks for ROI, and how Logiciel helps you achieve more output per dollar spent.
One of the most common questions CTOs and founders ask is simple: “What does AI-first software development cost?”
The truth: It depends on the delivery model.
At Logiciel, we use a sprint-based pricing model designed to give you both clarity on costs and visibility into ROI from the very first sprint.
Each sprint is priced with clear deliverables
No lock-in to multi-year contracts
Costs linked to features shipped, not hours worked
Predictable budgeting for finance and investor reporting
ROI visible within the first 30–90 days
Ability to scale teams up or down without waste
Input: current team size, backlog size, cloud spend
Output: projected velocity gains, cloud savings, cost benchmarks



Teams that needed to ship fast, and did. Here's what partnering with Logiciel felt like from the inside.
Small MVPs may cost $20K–$50K. Scaling SaaS platforms can run $100K–$250K. Enterprise programs often exceed $500K. Logiciel makes costs predictable by pricing per sprint.
Traditional vendors sell hours. Logiciel prices per sprint with ROI benchmarks.
We measure features shipped, tech debt reduction, and cloud savings. Case studies back each metric.
Yes. Most clients start with a 14-day trial sprint.
Clutch reviews highlight that unpredictability in cost is one of the biggest frustrations with outsourcing vendors. Capterra buyers agree that transparent pricing and ROI proof are critical factors in vendor selection. Gartner forecasts that by 2027, most enterprises will expect ROI validation from every AI initiative.