Cost & risk of rebuilding software with AI tokens
Choose a category, a reference product and the modules you need; the tool estimates the resources and risk of rebuilding software with AI instead of buying it. The figures are budgeting estimates, not an actual invoice.
Cost & risk of rebuilding software with AI tokens
Considering building your own CRM or ERP instead of buying SaaS? Select the modules you need and the tool estimates resources (person-months, cost, timeline with AI assistance) and scores risk across four dimensions: security and sensitive data, legal compliance, legacy integration, and AI code quality plus budget. This is a high-level business case for a build-vs-buy decision.
Frequently asked questions
How much does rebuilding software with AI cost?
It depends on the modules you select: each carries its own effort (person-months), summed and then reduced by AI assistance, converted into cost and timeline.
What risks are covered?
Four dimensions: security and sensitive data, legal compliance, legacy integration, and AI code quality plus budget overrun. Risk rises with the sensitivity of the modules chosen.
Does this estimate cover security properly?
Only at a directional level. Security, compliance and integration require a dedicated assessment for your specific project.
Who is this tool for?
Executives, CTOs and department heads weighing build against buy who need a directional number before commissioning a detailed business case.
Does the estimate include running costs after launch?
Not in full. Once live, a system still incurs infrastructure, maintenance, user support and further development — often the largest cost over several years.
Is it risky to expose internal data and processes to AI during the build?
It is. Define which data may go into AI tools, prefer options that contractually exclude your data from training, and set internal rules for the development team.
All figures are reference estimates. Built by the TOT (TopOnTech) team.
