It depends on the modules you pick: data connectors, analytic models, dashboards, alerts or row-level security. With AI, engineering effort usually drops 35-50% versus traditional builds, while AI tooling is only a few percent of the total. Enter your modules to get a token estimate that matches your scope.

If you only need a few standard dashboards, an off-the-shelf tool is fast and convenient. Once reports are tightly tied to your own workflows, need to merge several data sources, or you want costs that don't scale with headcount, an AI-assisted build tends to pay off because you own the code.

An in-house build lets you choose where data lives and how it is encrypted and permissioned, rather than relying on a third-party platform. Because analytics reports touch behavioural and personal data, design it around Vietnam's Decree 13/2023 on personal data protection from day one.

Treat them as a starting point for budgeting, based on general token ranges and effort savings. Real cost depends on data complexity, the number of integrations and your security requirements. TOT runs a detailed discovery before issuing a firm quote.

The tool gives a cost estimate with a reference price list for each AI plan. It is not an official quote — for a detailed quote on your analytics software (by scope, features and integrations), contact TOT to scope it.