Cost & timeline of building software with AI tokens for enterprises
Enterprises need to know what building a system with AI costs, how long it takes and what the ROI is versus buying SaaS. Choose the system type, scale and level of AI usage, and the tool estimates all three. The figures are budgeting estimates, not an actual invoice.
Cost & timeline of building software with AI tokens for enterprises
When applying AI to large-scale software development, enterprises care about the business case: total investment (people plus AI), the time saved through AI, and the benefit compared with renting SaaS over several years. This tool estimates all three — excluding security, compliance and legacy integration, which need a separate assessment.
Frequently asked questions
What does building a CRM like Salesforce cost, and how long?
It depends on feature count, complexity and team size. With AI assistance, effort and timeline typically fall 35–50% versus a traditional approach.
Build or buy SaaS?
With many users over several years, building plus maintaining can cost less than renting SaaS. The tool compares multi-year totals, payback and ROI.
Is security and compliance included?
No. This is a high-level cost, timeline and ROI estimate; security, compliance and integration need separate assessment.
What kind of team does this require?
AI assists with code, but you still need architects, project management, QA and operations. The estimate assumes a capable in-house team or partner is in place.
How are post-launch costs handled?
A multi-year model must add infrastructure, maintenance, upgrades and user support — these often decide whether building really beats renting SaaS.
Can I take this to the board?
It works as a starting point for a build-vs-buy discussion. Before approving investment, commission a detailed business case grounded in your own requirements.
All figures are reference estimates. Built by the TOT (TopOnTech) team.
